MCC statistics allow you to track the top performers of a comic collection via ten key indicators: total discounted value, ROI, top performer, emerging sleeper, complete runs, completion rate, top publisher, top genre, 12-month growth and price anomalies. The monthly dashboard transforms a catalog of 500 comics into a managed asset, with targeted alerts, CSV and PDF exports, and automatic annual comparisons.
A collector who exceeds 500 issues mechanically switches to another logic. The cumulative value often exceeds 4,000 euros, purchase decisions amount to several hundred euros per month, and intuition alone is no longer enough to say whether recent choices have created or destroyed value. This is precisely the moment where the native statistics of My Comics Collection (MCC) cease to be a gimmick and become a management tool. You still need to know how to read what they say and activate the right modules.
This article dissects the advanced use case of the MCC stats module for 2026: the ten indicators that really matter, the monthly dashboard operating routine, the method for identifying top performers in the 12-month market, the detection of emerging sleepers before the outbreak, the monitoring of runs in completion, the comparison of annual stats, a practical case on 500 comics and the CSV and PDF export options for archiving or sharing with an insurer. At the end of the reading, you have an operational framework that you can use the following week on your own MCC base.
The 10 MCC statistics that matter when managing your collection
The MCC Stats module offers more than twenty indicators, which quickly becomes illegible for a collector who does not know where to look first. Ten of them form the useful base for transforming a collection into a managed asset. They are calculated automatically from the data already entered in your database: title, number, year, publisher, state or grade, purchase price, purchase date, estimated value. No additional entry is necessary, the challenge is only to understand what each number says.
The first indicator is thetotal present value. Displayed in large format on the home screen of the Stats module, it represents the sum of the median odds of each issue at the specified grade, refreshed at least every week via eBay and GoCollect feedback. A collector with 500 issues typically sees a range between 4,500 and 18,000 euros depending on the composition. This value serves two direct uses: the calculation of the insurable capital for the valuables guarantee of home insurance, and the justification of the coherence of assets to a loved one who doubts the seriousness of the hobby.
The second is theTotal ROI, difference between present value and cumulative acquisition cost expressed as a percentage. MCC displays gross ROI (without fees) and an optional net ROI if you have enabled the entry of shipping and grading fees. The third is thetop performer, the issue with the highest percentage change in value since purchase. The module displays by default the top 1 on the home page, and allows you to extend to top 10 or top 25 with one click. The fourth is theemergent sleeper, a derivative indicator that crosses positive 90-day variation greater than 15% and increasing eBay transaction volume, to detect positions that are taking off before the market has fully integrated them.
The fifth is the counter ofcomplete runs, that is to say the number of series for which you own 100% of the published issues. The sixth is theaverage completion rate per series, ratio of owned outcomes to published outcomes, aggregated over all series monitored. The seventh is thetop editor, descending ranking of publishers by cumulative value held. The eighth is thetop kind, equivalent by editorial genre (superhero, horror, sci-fi, crime, independent, manga, European comics) if you have activated tagging.
The ninth is thegrowth 12 months, percentage change in total value between M-12 and M, which isolates pure market performance from your buying and reselling activity. The tenth is the list ofprice anomalies, which flags issues whose 90-day variation is less than -15% or greater than +40%, either as a defensive alert or as an opportunity trigger. These ten KPIs form a coherent cockpit and each refers to a detailed sub-module in MCC to go further.
Using the MCC monthly dashboard: the routine in 20 minutes
The effectiveness of the Stats module is not due to the richness of the indicators available but to the regularity of their consultation. A collector who looks at his dashboard once a year on December 31st gets a fraction of the value as a collector who spends 20 minutes on the first Saturday of each month. The monthly routine is structured in five short steps, targeted on the ten KPIs identified above.
Step 1, reading total value and ROI. You write down the two figures in a logbook or in a dedicated tab of your personal spreadsheet. Over 12 consecutive points, the time series reveals the dynamics: regular growth, plateau, occasional dropout. The objective is not to react to each monthly variation but to identify underlying trends over four to six months. Step 2, drill-down on the top performer of the month. MCC displays the change since purchase, 90 days ago, and 12 months ago for this outcome. You take 3 minutes to understand why: adaptation announcement, run becoming cult, death or first appearance of a revived character in an ongoing series.
Step 3, review of price anomalies. The module typically lists between 5 and 30 anomalies per month on a collection of 500 issues. You first filter for drawdowns below -15% to decide: sell defensively, hold and average down, do nothing if the position is tiny. Then increases above +40% to decide: opportunistic resale to crystallize the gain, conservation because you believe in the future, addition of a complementary position before the general surge. Step 4, followed by completion runs. The module displays the 5 series closest to completion: you have 3 issues left on Daredevil 168-191, 7 on Amazing Spider-Man between #150 and #200, 12 on Saga of the Swamp Thing. You decide which run to prioritize this month.
Step 5, export and archive. MCC allows you to export a snapshot of the dashboard to date in CSV or PDF. You archive the PDF in a dedicated folder, which constitutes both your logbook and proof of changes in assets if necessary (insurance, inheritance, tax control on a resale). The complete routine takes 20 minutes for a collection of 500 numbers and rises to 35 minutes for 2,000 numbers. It fits perfectly into themonthly routine collector goals budget statswhich makes it its third pillar after the budget magazine and the wishlist magazine.
The classic mistake is to settle for the total value and ignore the other modules. Total value is the laziest indicator: it moves slowly, hides dispersions and reveals no actionable arbitrage. The real levers are in the top performer, the emerging sleeper and price anomalies. This is where MCC brings concrete added value compared to a simple homemade Excel spreadsheet, which would require hours of formulas to reproduce these derived indicators.
Identify your top performers in the 12-month market
The concept of an absolute top performer is interesting but incomplete. An issue purchased for 5 euros which is worth 50 displays an ROI of +900%, which flatters the ego but does not necessarily reflect a personal alpha: if the entire market in this category has tripled over the same period, your +900% is reduced to +200% alpha against +700% market beta. To manage seriously, you must compare the performance of each top performer to the average performance of the reference market over 12 months.
MCC integrates this logic into its Top Performers module via a metric called “12M relative market performance”. For each top issue, the module calculates the variation observed over 12 months, then the average variation of a reference basket constructed along three axes: same publisher, same decade, same grade. The gap between the two is personal alpha. An outcome of +90% over 12 months for which the reference basket did +75% delivers an alpha of +15%, i.e. the additional performance attributable to your specific choice rather than the general movement. This reading corrects the cognitive bias which leads us to congratulate all top performers indiscriminately.
Prioritizing by alpha rather than raw variation reveals which acquisition choices were truly superior. Three typical profiles emerge when reading over 12 months. Profile A: absolute top performers but with low or negative alpha, i.e. positions where you simply rode a macro-trend (for example the Wolverine key issues during the Deadpool & Wolverine hype). Profile B: top performers with high alpha, who reveal a real capacity for stock picking on positions little known in the large market. Profile C: intermediate positions with raw variation but exceptional alpha, often Bronze Age sleepers or modern independents that you sourced before the wave.
The practical use of this segmentation guides future allocations. If your alpha is concentrated on Profile B and C, continue to dig into this style of stock picking and increase the budget allocation to these categories. If your alpha is mainly passive (Profile A), your real talent is momentum capture, and the priority is to refine your detection of macro-trends before they reach consensus. The articlecomics spec 2026 key issues mountlists the positions on which the market is currently building momentum, useful for comparing your MCC signals to an external benchmark.
Beyond retrospective analysis, the Top Performers MCC module can also be used for projection. By filtering the issues whose alpha is positive over 12 months and the 90-day variation is still accelerating, you identify positions where recent dynamics confirm the annual performance, therefore statistically more likely to continue their trajectory. Conversely, a strong 12-month variation but a negative 90-day variation signals a reversal, a potential trigger for partial resale to crystallize the gain.
Detect emerging sleepers with MCC before outbreak
The sleeper is the most profitable position for the informed collector: a currently discounted issue that the market will revalue in the 6 to 18 months, generally thanks to an identifiable trigger (cinema adaptation, streaming series, death of a character, return of a cult author, editorial anniversary). Detecting a sleeper three months before the outbreak transforms a purchase for 20 euros into a resale for 120 euros. MCC offers a dedicated module, Sleeper Radar, which automates part of this detection based on crossed statistical signals.
The Sleeper Radar module combines four signals. First signal: thepositive 30-day variation between 8 and 18%, sufficiently marked to signal a movement but not yet a generalized outbreak. Second signal: theeBay volume over the last 30 days up at least 25%compared to the average of the previous 6 months. Third signal: thecurrent rating at least 30% lower than the median rating 24 months, that is to say a position still discounted in relation to its own history. Fourth signal: theabsence of recent peak greater than 50%in the last 90 days, which excludes positions that are already surging.
The intersection of the four signals typically produces 5 to 25 candidate sleepers per month across the entire MCC universe, far more than a collector can process individually. The module automatically narrows down to shows you follow or own, then ranks candidates by composite score. You get an actionable list of 3 to 8 outcomes to study in detail. For each candidate, MCC provides a mini-report: 24-month rating history, latest eBay sales, cataloged triggers (announced adaptations, editorial events), runs to which the outcome belongs.
The correct use of Sleeper Radar requires arbitration discipline: just because MCC flags a sleeper does not mean you should automatically buy it. Three additional criteria filter the real signals: the piece is part of an understandable personal thesis (the publisher, the character or the period speak to you), the budget allocated to the month remains available, and the position does not amplify an existing risk concentration (if you are already at 50% Marvel superheroes Bronze Age, a new sleeper in this category diversifies little). The crossover between MCC statistical signal and personal investment discipline is what turns a tool into a competitive advantage.
To explore the list of sleepers currently identified by the market beyond the individual scope of MCC, the articleunderrated comics 2026 sleeper issuesoffers a transversal panorama which serves as a benchmark to compare with personal signals. And the articlemodern comics invest 2020-2026deals with the specific subcategory of modern sleepers, particularly active in the post-2020 period.
Monitoring of completion runs: prioritize the right projects
The MCC Runs module is probably the most underused on the dashboard even though it delivers some of the most structuring purchasing decisions. For each series identified in your database, the module calculates three metrics: number of issues owned, number of issues published, completion rate as a percentage. An aggregated view displays all of your active series, sorted by default by descending rate, which highlights runs close to completion.
Reading the Runs module radically changes the purchasing logic. Without this KPI, you buy by opportunity: an auction that ends low, an interesting lot from a reseller, a cross-sectional piece at a show. With this KPI, you buy per project: complete Daredevil 168-191 to finish the Frank Miller run, complete the 12 missing issues of Sandman Vol. 1, complete Annuals #1 to #15 of Amazing Spider-Man. This project logic has two economic virtues. First virtue: a complete run is worth significantly more than the sum of the isolated issues, because buyers are willing to pay an editorial consistency premium (typically +15 to +30% on eBay lot sales). Second virtue: completion gives a concrete objective which structures the monthly budget and avoids dispersion.
The Runs module offers two relevant sorting variants beyond decreasing rate. The "remaining effort in number of issues" variant ranks series by absolute number of missing issues, which reveals where the completion effort is numerically minimal. The "remaining effort value" variant ranks by estimated budgetary cost to acquire the missing issues, which reveals where the budget is mechanically most accessible. On a collection of 500 numbers spread over 35 active series, these two variants rarely prioritize the same runs and it is their crossing which produces the optimal decision.
An advanced feature of MCC is the autocomplete alert. Once activated on a given series, the module goes up each time a missing issue appears on eBay or Heritage below a ceiling price that you define. Concretely, if you are looking for Amazing Spider-Man #129 (first appearance of the Punisher) in CGC 6.0 under 1,200 euros, the alert is triggered as soon as an auction or a fixed price corresponds to the specifications. This automation transforms passive hunting into systematic opportunity capture.
The Runs module pairs perfectly with the transversal price alert logic described ineBay comics price alerts configure in 5 minutes. For collectors who want to industrialize their completion strategy by integrating the speculative dimension, the list of positions currently spec of the articlecomics spec 2026 key issues mountserves as a priority filter to apply on ongoing runs to identify where completion has maximum legacy leverage.
Comparison of annual stats: read the long-term trajectory
The MCC Compare module allows you to compare the statistics of your collection between two reference dates, typically December 31 N-1 versus December 31 N. This annual view provides a reading that is impossible to reproduce mentally and which reveals underlying dynamics invisible in the monthly monitoring. The module displays a comparative table on each of the ten essential KPIs, with absolute variation, relative variation and color code (green for improvement, red for degradation, gray for neutrality).
The first reading is about total value and ROI. A collection whose total value increased by 8% over the year while the cumulative ROI increased by only 2% reveals a significant acquisition effort (you bought a lot) but a modest market performance on the existing base. Conversely, a stable total value but an ROI up 4% reveals low acquisition activity and organic portfolio appreciation. These two profiles call for opposing decisions for the following year.
The second reading concerns the publisher and genre splits. A Marvel split that goes from 42% to 51% in one year signals either a voluntary strategy of concentration on the publisher (because you believe in its cinema momentum), or an uncontrolled drift of opportunistic purchases. Comparative reading forces the question: was it conscious or suffered? If suffered, your next year of budget must correct by directing acquisitions towards DC, Image or the independents to rebalance.
The third reading is about completing runs. The number of complete runs increased from 7 to 11 during the year is an excellent indicator of acquisition discipline: you finished what you started rather than opening new projects. Conversely, a stable number of complete runs but an increasing number of active series from 28 to 41 signals dispersion: you accumulate starts of runs without finishing them. This reading triggers a clear decision for the following year: freeze the opening of new runs and concentrate the budget on completing the existing ones.
The fourth reading concerns 12-month growth. This is the purest indicator of market performance: would your collection have gained or lost value without any purchases or resales over the year? Organic growth of +6% to +12% is typical of favorable years in the secondary comics market. Negative or zero growth reveals either a general bearish cycle or too much exposure to losing sub-segments (for example the modern 2020-2022 spec which corrected after the bubble).
The Compare module also allows multi-year comparisons, for example 2024 vs 2025 vs 2026, to identify underlying trends over 36 months. It is on this scale that the real winning or losing theses are revealed. To prepare for the following year budgetarily based on this retrospective reading, the articleannual budget comics collector 2026 planningoffers the complete allocation and planning methodology.
Practical case: MCC stats analysis of a collection of 500 comics
To make the use of the Stats module concrete, let's take a practical case. Cyril, 38 years old, has been collecting for 12 years, MCC base of 503 issues, total discounted value 9,240 euros, cumulative acquisition cost 6,850 euros. Mixed profile with a dominant Marvel superhero Bronze Age and around twenty Modern Image incursions. The Stats module displays the following indicators as of December 31, 2026, which we analyze one by one.
Total value and ROI.Value 9,240 euros, cumulative cost 6,850 euros, gross ROI +34.9%. Over 12 years of formation, the annualized ROI approaches 2.5% per year, which is below a bond investment but consistent with a logic of pleasure and not pure investment. The drill-down shows that 78% of the ROI is concentrated on 14 major issues, the other 489 issues having an average ROI of only +5%. First insight: performance comes from a handful of structuring positions, not volume.
Top performer and sleepers.The top performer of the year is Amazing Spider-Man #129 (first appearance of the Punisher), purchased for 380 euros in raw VF/NM in 2018, today estimated at 1,250 euros, ROI +229%. The Sleeper Radar reports 4 active candidates this month: Werewolf by Night #32 (first appearance Moon Knight) on which MCC detects an eBay volume up 38%, Ultimate Spider-Man #1 whose 30-day rating increased by 14%, and two recent independent Image companies which are accelerating. Insight: the combination of historic top performers and emerging sleepers directs future acquisitions towards the first appearances of secondary characters, a segment where Cyril demonstrated a personal alpha.
Runs in completion.35 active series, 4 complete runs, average completion rate 47%. The module identifies 6 series close to completion (above 80%): Daredevil Frank Miller 168-191 at 91%, Sandman Vol. 1 at 88%, Saga of the Swamp Thing Alan Moore at 84%, X-Men classic 94-150 at 82%, Watchmen mini at 100%, Hellboy Seed of Destruction at 100%. Insight: finishing Daredevil 168-191 requires the acquisition of 2 issues estimated at 350 euros in total, i.e. a moderate completion effort for an immediate editorial consistency bonus effect.
Splits and anomalies.Publisher split: Marvel 68%, DC 14%, Image 11%, Vertigo and others 7%. Split decade: Bronze Age 51%, Modern 22%, Copper 15%, Recent 12%. Insight: strong Marvel Bronze Age concentration which calls for gradual rebalancing. Price anomalies show 7 issues down more than 15% over 90 days, mainly modern post-2021 specs which correct. Decision: defensive resale of 3 of these 7 positions to free up 240 euros to be redeployed on the Sleeper Radar.
12-month growth and annual stats compared.Organic growth +7.2%, which is consistent with the average evolution of the Bronze Age market in 2026. The 2025 vs 2026 comparison shows that the cumulative ROI increased from +27% to +34.9%, the number of complete runs from 3 to 4, and the Image split from 7% to 11%. Insight: the diversification strategy towards Image is bearing fruit without degrading overall performance, to be continued the following year.
This practical case illustrates the logic of using MCC stats: no isolated indicator is enough, it is their cross-reading that produces actionable decisions. Cyril will come out of his session with a clear roadmap: finish Daredevil Miller, resell 3 moderns at a loss, allocate 600 euros on 2 Radar sleepers, freeze Marvel Bronze acquisitions for 3 months to let the split rebalance naturally.
Export CSV and PDF stats: archiving, sharing, auditing
The Stats module's CSV and PDF exports serve four distinct functions that any serious collector benefits from enabling. First function: historical archiving. A dated monthly PDF constitutes an enforceable logbook which traces the evolution of the collection month after month. After 36 months, the stack of PDFs forms an exhaustive heritage memory, particularly valuable in the event of a disaster (fire, water damage, theft) where it will be necessary to prove to the insurer the value and composition of the collection to date.
Second function: sharing with an insurer. MCC offers a specific PDF export "Insurance Report" which summarizes on 4 to 6 pages the composition of the collection, the total insurable value, the detailed list of the 30 major pieces with photos and grades, and a certificate of valuation methodology (eBay 90-day medians, GoCollect cross-reference). This standardized document makes it easier to take out valuable home insurance coverage and speeds up compensation in the event of a loss. Without this report, the insurer generally applies a fixed ceiling well below the actual value.
Third function: tax audit. For collectors whose collection exceeds 30,000 euros and who could be required to declare capital gains on the sale of collectibles (French regime for precious goods and objects), keeping a dated annual export makes it possible to justify the acquisition price and the holding period. This is particularly useful to benefit from the reduction per year of detention beyond the 2nd year, which gradually reduces the tax base. The raw CSV export is used to reconstruct ad hoc calculations requested by the administration.
Fourth function: sharing with a buyer or heir. If you are considering selling all or part of your collection to a colleague or a reseller, a presentation PDF gives credibility to the offer. If you are preparing the inheritance transfer, the documented PDF prevents your heirs from having to reconstruct the value and composition for you, at a time when they will have better things to do. This preventive dimension is rarely addressed but it is part of mature asset management.
The CSV format is more technical but more powerful for power users. It allows import into an Excel or Numbers spreadsheet, into Looker Studio to build custom dashboards, or into a Python or R script for advanced statistical analyzes (regression on the explanatory factors of ROI, classification of sleepers by machine learning algorithm, value forecast over 12 months). For the majority of collectors, the monthly PDF and quarterly CSV export are more than sufficient. Archiving discipline matters more than frequency: a PDF archived quarterly in an encrypted cloud folder is better than a monthly PDF never accessed.
To explore the uses of a comics portfolio tracker more broadly, the articlecomics tracker monthly price track portfoliohandles the case outside MCC. For collectors who plan to resell part of their positions based on stat signals, the guidecomics sell resale guide pillarcovers the entire operational process. And to frame the 2027 investment strategy on the basis of the 2026 statistics lessons, the articlecomics investment update 2027 strategy pillarproposes the annual prospective framework. Finally, the toolfree estimateallows you to validate the consistency of the ratings displayed by MCC on a few reference parts before making a resale decision.
FAQ — MCC statistics and top performers of a comic collection
At what collection size does the Stats MCC module really become useful?
The practical threshold is around 300 to 500 numbers, but activation is interesting from 150 numbers to get used to the monthly routine. Below 150, the total value and monitoring can be managed mentally or on a simple spreadsheet. At 300 numbers, the number of active series often exceeds 15 and the top performer begins to represent a real arbitration issue. At 500 numbers, all ten essential indicators deliver actionable decisions every month. Beyond 1,000 issues, the advanced modules (Sleeper Radar, Annual Comparison, custom exports) become useful for managing the collection like a real portfolio.
How does MCC calculate 12-month relative market performance?
For each issue identified as a top performer, MCC constructs a reference basket according to three axes: same publisher, same decade, same grade or state. For Amazing Spider-Man #129 in raw VF/NM for example, the basket includes the other Marvel Bronze Age key issues in raw VF/NM. MCC then calculates the weighted average change of that basket over 12 months from closed eBay transactions, then displays the difference between your individual performance and that of the basket. This difference is the personal alpha: a positive alpha signals true stock picking, a negative or zero alpha signals performance attributable to market movement alone. The methodology is documented in the Help section of the Top Performers module.
What is the ideal frequency for consulting the MCC stats dashboard?
The optimal routine combines three frequencies. An in-depth monthly consultation (20 to 35 minutes) on the first Saturday of each month, to review the ten essential KPIs, drill-down on the top performer and price anomalies, archive the PDF export. A quick weekly consultation (5 to 10 minutes) every Sunday, to scan the Sleeper Radar and run completion alerts. And an in-depth annual review (1 to 2 hours) on December 31 or January 1, which uses the Compare module to produce a structured annual review and prepare the roadmap for the following year. This tri-frequency covers all decision-making horizons without becoming time-consuming.
Does the MCC Sleeper Radar work for European and independent comics?
Yes but with coverage limits. The eBay database on which the Sleeper Radar relies is very dense for US Marvel, DC, Image, Dark Horse and IDW comics, which makes the signals reliable in these segments. For the most recent US independent comics (post-2020) and for French publishers of translated comics (Panini, Urban Comics), the coverage of secondary transactions is thinner and the signals less robust. MCC displays a reliability indicator (high, medium, low) on each Sleeper candidate, to be taken into account in the final decision. For traditional European comics and manga, the Sleeper Radar works in a degraded manner and is better to cross-reference with other market sources.
How to export your MCC stats to an insurer or tax specialist?
MCC offers two specific formats accessible from the Exports menu of the Stats module. The “Insurance Report” format generates a PDF of 4 to 6 pages with signed header, total insurable value to date, valuation methodology, detailed list of 30 major documents with photos and grades, and certificate of record keeping. This document is designed to be attached to the subscription to valuables insurance or to a claim declaration. The "Tax Export" format generates a structured CSV with all the columns useful for a declaration of capital gains on valuable goods and objects: acquisition date, purchase price, incidental costs, possible transfer date, transfer price, holding period. Both formats are free in the MCC paid offer and are archived in the encrypted cloud for long-term preservation.