Bottom line: PandaScore's CS2 statistics start at €400/game/month, and its terms bar building odds products from the data. EsportsOdds is the self-serve alternative: CS2 data plus a de-vigged line at a flat $99/month, with no per-game multiplier and no bar on building odds or analytics products.
The short version
PandaScore is one of the most established esports data providers: around fifteen titles, a deep and mature stats schema, and a serious presence in the betting industry. If you need many games from one vendor, it is a strong choice.
But if you are focused on Counter-Strike 2, two things reshape the decision. First, PandaScore's affordable self-serve tier gives you schedules and results only; actual CS2 statistics start at €400 per game, per month. Second, its cheap stats plans are limited to non-betting use, and its terms separately bar building odds products on the data at all.
EsportsOdds is the alternative for that gap: CS2 match, player, team and tournament data plus a de-vigged market line, self-serve, at a flat $99/month. No per-game multiplier, and the terms let you build odds and analytics products on the data; the one limit is that you can't resell the raw feed itself as a competing data product.
Who looks for a PandaScore alternative
- CS2-only developers who don't want to pay a 15-title vendor's per-game rate for a single game.
- Analysts, traders and odds/media tools whose use case runs into PandaScore's non-betting and odds-product restrictions.
- Small teams and hobbyists for whom €400+/month per title is out of range.
- Anyone who wants a ready-made market line rather than raw stats they then have to price themselves.
PandaScore vs EsportsOdds at a glance
| PandaScore | EsportsOdds | |
|---|---|---|
| Titles | 15+ esports | CS2 (focused) |
| CS2 statistics access | From €400 / game / month | Included in the flat plan |
| Pricing model | Per game, per month | One flat plan |
| Free to start | Schedules & results only (no stats) | 7-day trial (1,000 requests) |
| Odds for developers | Sold to operators, sales-gated | A de-vigged market line, self-serve |
| Use-case terms | Cheap stats plans non-betting-only; terms bar building odds products | Build odds/analytics products freely; only bar is reselling the raw feed |
| Data + line in one key | Separate products | Yes |
| Best for | Multi-title, funded, operator-facing | CS2-focused, self-serve developers |
Where PandaScore genuinely wins
PandaScore is a mature, credible product, and for some teams these strengths are decisive.
Breadth. Around fifteen esports in one API: League of Legends, Dota 2, Valorant and more. EsportsOdds is CS2-only by design. If you need multiple titles from a single vendor, PandaScore wins outright.
Schema depth and maturity. PandaScore's CS2 model is rich: per-round outcomes, detailed player metrics, economy data, weapon reference data, and years of history, with a polished developer portal. For the deepest possible historical stats schema, it is excellent.
A live product, betting credibility and scale. Dedicated live feeds and play-by-play on its top tier, run at volume for years, plus a genuine trading operation selling a licensed odds product to sportsbooks. If you are a licensed operator buying an odds feed, that pedigree matters.
EsportsOdds does not try to beat PandaScore at breadth or schema maturity. It wins on a narrower proposition: CS2, self-serve, one flat price, with a line included.
PandaScore pricing for CS2
This is the difference most CS2 developers feel first. PandaScore's stats pricing is per videogame, per month (per its pricing page, as of July 2026):
| PandaScore stats tier | Price | What CS2 gets you |
|---|---|---|
| Free (Schedules, Results & Context) | €0 | schedules & results only, no post-match statistics |
| Historical | from €400 / game / mo | + post-match & historical CS2 statistics |
| Live Basic | from €1,000 / game / mo | + live feeds (WebSocket) |
| Live Pro | contact sales | + full play-by-play, all statistics |
Because it's priced per game, a CS2-only project pays the full single-title rate for one game. EsportsOdds is a flat $99/month for 20,000 requests, every endpoint included, with a 7-day trial (1,000 requests).
The two aren't cleanly comparable on price. PandaScore bills per game per month in euros with hourly rate limits; EsportsOdds is one flat monthly plan in dollars with a monthly request cap. Pick on structure, not a headline multiplier: a per-game stats commitment on a fifteen-title vendor, versus a single flat plan for the one game.
If you genuinely need many titles with the deepest possible schema and can absorb the per-game cost, PandaScore is the better fit. If you want CS2 done well, self-serve, at a flat price, EsportsOdds is.
The use-case terms most people miss
PandaScore applies two limits that matter for anyone near odds or analytics.
First, its affordable self-serve stats plans are limited to non-betting use, so betting-related customers are pushed to a bespoke sales contract instead of the published tiers.
Second, its terms of service go further: a subscription does not include odds, and a customer must not "develop … distribute, supply, or commercialize odds or odds-related products or services … using the data and services provided." Even on a paid stats plan, you are contractually barred from building an odds product on PandaScore data.
For the segments EsportsOdds serves (data tools, fantasy platforms, analysts, media) that combination is a real constraint. EsportsOdds does not bar odds or analytics products. You can build a stats widget, a fantasy feed or an odds-driven analytics tool on the same $99/month plan. It keeps one narrow, standard restriction of its own (you can't resell, sublicense or redistribute the raw data feed as a competing data product), but building on top of the data is exactly what it's for.
On PandaScore, real CS2 statistics start at €400/game/month, the cheap self-serve stats plans are non-betting-only, and the terms bar building odds products on the data. EsportsOdds is $99/month flat, self-serve, with a market line included and no bar on building odds or analytics products.
The data-and-line bundle
PandaScore keeps stats and odds as two separate products. The stats API is self-serve (above the free tier); the odds product is a bookmaker-facing feed sold to operators through sales, not a neutral line a small developer can buy off the shelf.
EsportsOdds returns both from one key. The same request that returns a CS2 match's teams, players and tournament also returns a de-vigged market line: a market-implied win probability with the bookmaker margin removed and no individual book named. A proprietary model line is on the way, publishable only once it clears validation. For a media or fantasy product, that single-key bundle is the whole point.
Who should choose PandaScore
Choose PandaScore if you need many esports titles from one vendor, want the deepest, most mature stats schema, can absorb per-game pricing, and, if you are on the odds side, are a licensed operator buying through sales. It also isn't all-or-nothing: plenty of teams run EsportsOdds for CS2 depth and a broader vendor for the other titles they need.
Who should choose EsportsOdds
Choose EsportsOdds if you are focused on CS2, want self-serve access at a flat $99/month, need the data and a market line in one key, and want to build odds or analytics products without a betting-use gate. It is the CS2-focused, developer-first alternative to a multi-title, operator-facing incumbent.
Frequently asked questions
How much are CS2 stats on PandaScore vs EsportsOdds?
PandaScore's free tier is schedules and results only; post-match CS2 statistics start at the Historical tier, from €400 per game per month (as of July 2026), with live tiers higher. EsportsOdds includes CS2 data in a flat $99/month plan (20,000 requests, plus a 7-day trial with 1,000 requests).
Can I build a betting or odds product on PandaScore data?
Not on the self-serve stats plans, which PandaScore limits to non-betting use, and its terms separately prohibit developing or commercialising odds products from its data. EsportsOdds does not bar that: you can build odds or analytics products on the data, and the only limit is reselling the raw feed itself as a competing data product.
Does EsportsOdds cover as many games as PandaScore?
No. PandaScore covers around fifteen titles; EsportsOdds is CS2-only by design and deeper within that scope. If you need multiple titles from one vendor, PandaScore is the better fit, and the best esports data APIs roundup or the Abios alternative cover the wider field.