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Overview of H2 Gambling Capital and Statista reports
In the global gambling data market (iGaming, betting, lotteries), two sources are most often cited: H2 Gambling Capital (H2GC) and Statista. Both give a broad picture, but collect and model numbers in different ways. Below is the "analyst memo": what exactly H2 and Statista publish, how they consider the market, where everyone has strengths and how not to make a mistake when comparing.
1) Who is who and what cover
H2 Gambling Capital. Highly specialized provider for the global gambling industry: historical series> 30 years, onshore/offshore cut,> 150-175 jurisdictions, annual prolongation of 5-year forecasts. The main sources are regulators, governments, monopolies, commercial operators and suppliers.
Statista. Broad statistical platform: consolidates public and private sources and uses driver-based modeling to descend from the global/regional level to the country level when local data is limited. Publishes open methodologies for industry reviews.
Usage practices: regulators and consulting reports often refer specifically to H2GC when assessing sewerage/online share - this is a good indicator of confidence in their industry model.
2) Methodology: where approaches differ
Units and Definitions
H2GC usually leads GGR/revenue and in-depth cuts through channels (ground vs online), including forecasts for "sewers" (the share of bets/games from licensed onshore operators). This is important when assessing the effect of legalization.
Statista often gives synthetic market estimates (revenue, user volume, etc.) with a described frame of sources and distribution algorithms by country/vertical. It is distinguished by the breadth of topics and unified tables.
Data collection and updating
H2GC: industry registers/regulators + commercial sources, periodic quarterly/annual updates and special reports by region/vertical.
Statista: multi-channel aggregation (financial reporting, industrial research, international statistics) with regular revision of models; methodologies are available in open PDF.
Industry depth
H2GC - niche expertise of iGaming/betting/lotteries (including live/in-play, onshore/offshore, channels, regulation).
Statista - cross-industry coverage (including media collaborations and corporate ratings), convenient for benchmarks between iGaming and "neighboring" markets.
3) How to match numbers correctly
1. Check the metric.
Compare GGR to GGR, handle to handle, B2C revenue - separate from B2B. Don't mix operator revenue with supplier revenue. (In H2GC, the GGR/sewer terminology is generally well defined.)
2. Check year/slice.
Statista can "top-down" country split from regional totals, H2GC - "bottom-up" from regulatory and operator data; the same calendar year does not guarantee the same assembly method.
3. Onshore vs Offshore.
H2GC clearly marks channels (license onshore/offshore), which is critical for assessing the share of the "white" market and advertising strategies. If Statista has no sewer allocated, only match the overall market.
4. Regulatory events.
Major changes (state/country online launch, ad limits, new taxes) may be reflected differently in the two source models in the first year. Check revision methodology and table footnotes.
4) Strengths of each source
H2 Gambling Capital - When to Choose
We need deep industry cuts (online/ground, live vs pre-match, sewerage).
Regulatory comparisons across multiple jurisdictions on the same scale are important.
Historical back and narrow metrics are required (for example, in-play share in sports).
Statista - when to choose
We need a wide comparative context (digital markets, media, fintech next to iGaming).
Standardized storefronts with methodology and rapid country split are important, especially in the early stages of research.
5) Typical discrepancies and how to explain them to stakeholders
Different totals by region/year.
Reason: Statista has a top-down distribution by driver; H2GC - bottom-up summary of regulatory and commercial data. Solution: attach a methodological note and clarify the difference by channel/vertical.
A different proportion is online.
H2GC publishes sewage estimates (for example, the share of rates from licensed onshore operators), which regulators further use in public documents - this strengthens the "weight" of such figures.
Different rates of CAGR.
Models are recalculated: in new versions, sources can revise the values of previous years. Record the extraction date and version/release in the reports.
6) Practical "cheat sheet" for working with reports
1. Define the question first. Need a GGR on online casinos in the EU in 2024 or a handle on live betting? The choice of a showcase in H2GC and a set of cards/dashboards in Statista depends on this.
2. Fix the definition records. In the first slide, specify: metric, currency, value (nom/real), taxes included/not, onshore/offshore.
3. Cross check. Check the disputed markets for two sources and, if possible, with the local regulator/association. (Example of a public H2GC reg document - Denmark.)
4. Forecasts - footnotes. Specify the model date and horizon, for H2GC - "+ 5 years," for Statista - the industry Outlook framework.
5. Do not mix B2B and B2C. Studios/aggregators ≠ operators by revenue. The statistical portal can roll up both layers - check the description of the set.
7) For which tasks the sources are best suited
Go-to-market strategy/legalization. H2GC due to sewage and onshore/offshore cuts.
Marketing/invest-pitch/cross-industry comparisons. Statista due to the breadth of topics and uniform layouts with methodology.
Regulatory reports and public benchmarks. Both sources, but with explicit reference to metric definition and upload date; an example of the use of H2GC by a regulator is a report by the Danish regulator.
8) Frequent mistakes and how to avoid them
Addition of "apples and oranges." The amount of Statista (total digital) + H2GC (online) will give an overestimation. Align levels first.
Ignore dates and currencies. Different bases (nominal/real), rates and inflation break the CAGR. Fix the currency/annual average rates in the schedule caption.
Unaccounted revisions. Remote updates in the database change past years; keep a snapshot of the upload and version.
9) Mini-FAQ
Is it possible to take the "average" between sources?
Only after equalizing the methods (metric, channels, geography). Otherwise, you get statistical noise.
How quickly are US/EU data updated?
H2GC have quarterly/monthly updates on key markets; Statista has regular updates to Outlook and cards with sources. Always see "Modified/Updated" in the card.
What reports are better for presentation to the regulator?
Those where onshore shares and RG context are clearly shown are most often slides/tables based on H2GC, supported by local statistics and general market references by Statista.
H2 Gambling Capital and Statista are not mutually exclusive, but complementary sources. H2GC gives the "professional optics" of the gambling market (sewerage, onshore/offshore, live-slices, regulatory metrics), Statista - a "wide lens" with a convenient methodology and intersectoral benchmarks. Choose the source from the task, always align the metric definitions, fix the upload date/version - and then the numbers will work to make decisions, not create a dispute.