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CS2 AI Predictions — Machine Learning Match Analysis

AI-powered CS2 match predictions generated by our machine learning model. Every prediction analyzes team form, player statistics, map pool matchups, head-to-head records and real-time betting odds to deliver data-driven picks with transparent confidence ratings and tracked accuracy.

AI

Powered by Machine Learning

Our AI prediction engine analyzes 8+ statistical dimensions per match: 3-month team form, map-specific win rates, head-to-head history, individual player ratings (ADR, KAST%, HLTV 2.0), roster stability, tournament seeding, schedule fatigue and real-time bookmaker odds. Predictions are generated automatically every 6-12 hours for all upcoming professional CS2 matches.

AI Win Rate
64.7%
Correct
297
Wrong
162
Pending
11
AI Prediction Record
297W
162L
459 decided AI predictions 64.7% accuracy

Ongoing AI Predictions 11

AI NOT_STARTED 9 Jul 2026
ADN
vs
PURE

Elimination match: ADN vs PURE — Prediction & Match Analysis

This United21 Season 52 elimination match features two lower-tier European teams with limited data. Alpha Dominion Nation (ADN) hold a 2W-6L record in their last 8 matches, while PURE went 4W-6L in their last 10. Neither team has a career win rate recorded, and there is no H2H history. The betting market strongly favors PURE at 1.22 vs ADN's 3.80, implying roughly an 82% win probability for PURE.However, the player stat comparison tells a different story: ADN average a 0.703 rating vs PURE's 0.639, with higher ADR (53.4 vs 47.3) and KAST (48.9% vs 46.2%). ADN's Kosovo-based roster — sopA, Edzz, Cashmoney, R0Kk-_, and xom — outperforms PURE's squad on every individual metric. PURE lost their opening match in United21 Season 52 to IC Prospects 0-2, suggesting they are struggling in this tournament.The odds heavily favor PURE, but the player stats favor ADN. This discrepancy may reflect PURE's better tournament record or factors not captured in the available data. Given the stat advantage for ADN and PURE's recent 0-2 loss in this same tournament, we lean toward ADN as a value pick — though the low confidence reflects the significant data limitations and the market's strong disagreement.

Predicted: Alpha Dominion Nation 60% conf.
AI NOT_STARTED 9 Jul 2026
RUST
vs
Honvéd

RUST vs Honvéd — Prediction & Match Analysis

This European Pro League Series 8 match pits two lower-tier teams against each other with no H2H history. RUSTEC's recent form is concerning — just 2W-8L in their last 10 (20% win rate) — but their career win rate of 54.0% is significantly better than Honvéd's 33.33%. Honvéd's 5W-5L recent form is more balanced, but their career record suggests they are a weaker team overall.On player stats, RUSTEC hold a clear edge: their roster averages a 1.051 rating vs Honvéd's 0.980, with higher ADR (74.1 vs 71.1) and KAST (69.8% vs 67.6%). RUSTEC's top players — supra, Brilliance, anttzz, youka, and jakekeS — have the individual quality to outperform Honvéd's roster. The stat differential is consistent across all three key metrics.The tension here is between RUSTEC's poor recent form (2W-8L) and their superior player stats and career record. The recent form slump may reflect scheduling variance or opponent quality rather than a fundamental decline. Given the player stat advantage and career win rate edge, RUSTEC are the marginal pick, but this is a low-confidence call given their recent results.

Predicted: RUSTEC 58% conf.
AI NOT_STARTED 9 Jul 2026
ALL
vs
NEM

Quarterfinal 2: ALL vs NEM — Prediction & Match Analysis

This XSE Pro League quarterfinal is a competitive matchup between two ranked teams. Alliance (#61 HLTV) and Team Nemesis (#72 HLTV) are closely matched on paper, but the data points to Nemesis as the slight edge. Nemesis's 7W-3L recent form (70%) is strong, though Alliance's 9W-1L run is exceptional — the best recent form of any team in today's slate.The player stat comparison favors Nemesis: their roster averages a 1.092 rating vs Alliance's 1.042, with higher ADR (75.0 vs 72.3) and KAST (72.2% vs 70.1%). Nemesis's CIS-based roster — featuring SELLTER, r3salt, mag1k3Y, Sdaim, and tex1y — has been building momentum since their peak ranking of #43 in February 2026. The betting market is split: Thunderpick favors Alliance (1.78) while Epicbet favors Nemesis (1.75), reflecting genuine uncertainty.Alliance's 9W-1L form is the strongest counter-argument — that level of consistency suggests the team is peaking. However, Nemesis's superior player stats and career win rate (61.39% vs 57.71%) give them the statistical edge. With no H2H history, we lean on the stats: Nemesis by a slim margin in what should be a close Bo3.

Predicted: Team Nemesis 60% conf.
AI NOT_STARTED 9 Jul 2026
G1
vs
BRUTE

G1 vs BRUTE — Prediction & Match Analysis

GenOne are the clear favorites in this European Pro League Series 8 match, and the betting market agrees — odds of 1.35/1.37 imply roughly a 73% win probability. GenOne's 7W-3L recent form (70%) comfortably outpaces Brute's 6W-4L (60%), and their career win rate of 52.58% vs Brute's 37.39% reflects a significant quality gap. Most importantly, GenOne hold a 2-0 H2H record against Brute, including two clean sweeps.The player stat comparison is nuanced: Brute's roster averages a slightly higher rating (0.991 vs GenOne's 0.953) and ADR (70.9 vs 66.8), which is the main argument for an upset. However, GenOne's French roster — featuring Keoz, Djoko, Brooxsy, Chucky, and bL4SEZ — has demonstrated superior tactical cohesion in their H2H meetings. The KAST averages are nearly identical (68.1% vs 67.9%).The H2H dominance (2-0) is the decisive factor here. Brute's slightly better individual stats haven't translated into wins against GenOne, suggesting a tactical or stylistic mismatch that favors the French side. GenOne are the pick, though Brute's individual firepower means this could be competitive on individual maps.

Predicted: GenOne 67% conf.
AI NOT_STARTED 9 Jul 2026
LAG
vs
OT

Quarterfinal 2: LAG vs OT — Prediction & Match Analysis

This BLAST Open NA Qualifier quarterfinal is the most uncertain match of the day. LAG Gaming carry a 5W-5L record in their last 10 matches and a career win rate of 41.23%, while Overtake have only 3 recent matches on record (1W-2L) with no career stats available — making this a data-limited prediction. There is no H2H history between these teams.On player stats, Overtake hold a slight edge: their roster averages a 1.026 rating vs LAG's 1.012, with sacrifice (1.08 rating, 75.06 ADR) leading the way. LAG's best player Cryptic posts a 1.07 rating but the team's overall ADR (72.0) and KAST (69.7%) are marginally below Overtake's 72.8 ADR and 69.6% KAST. The differences are minimal across the board.Given the limited data on Overtake and LAG's poor career win rate (41.23%), this is effectively a coin flip. Overtake's slightly superior player ratings give them a marginal edge, but bettors should treat this as a high-variance match. The BLAST Open qualifier format means both teams are motivated, and either outcome is plausible.

Predicted: Overtake Sector 55% conf.
AI NOT_STARTED 9 Jul 2026
TYLOO
vs
9z

Quarterfinal 1: TYLOO vs 9z — Prediction & Match Analysis

9z enter this XSE Pro League quarterfinal as the slight favorites, backed by both the betting market (odds of 1.58/1.62 vs TYLOO's 2.24/2.20) and their superior global ranking (#25 vs TYLOO's #30). 9z's career win rate of 67.55% significantly outpaces TYLOO's 62.64%, and their recent IEM Cologne Major 2026 run — defeating Vitality and The MongolZ before falling to FURIA — demonstrates top-tier competitive pedigree.On player stats, 9z hold a marginal edge: their roster averages a 1.103 rating vs TYLOO's 1.091, with higher ADR (75.1 vs 73.6) and comparable KAST (72.0% vs 72.0%). TYLOO's recent form is stronger (7W-3L vs 9z's 5W-5L), which is the main argument for an upset. The H2H record favors 9z 1-0, though the sample is limited.The odds imply roughly a 38/62 split in 9z's favor, which aligns with our assessment. TYLOO's hot recent form (7W-3L) is the key variable — if they carry that momentum into this Bo3, they can compete. But 9z's higher ranking, better career stats, and recent Major experience make them the pick.

Predicted: 9z 62% conf.
AI NOT_STARTED 9 Jul 2026
VOCA
vs
NT

Quarterfinal 3: VOCA vs NT — Prediction & Match Analysis

This BLAST Open NA Qualifier quarterfinal is one of the most lopsided matchups of the day. Voca arrive with a 6W-4L record in their last 10 and a career win rate of 65.67%, while NuTorious have collapsed to just 3W-7L in their last 10 (30% win rate) and carry a career win rate of only 41.18%. The gap in recent form is stark and consistent.The player stat differential is decisive. Voca's roster averages a 1.117 rating with 76.1 ADR and 72.0% KAST, led by dea (1.21 rating, 1.31 K/D), junior (1.20 rating, 1.31 K/D), and Jeorge (1.17 rating, 79.41 ADR). NuTorious, by contrast, average just 0.937 rating with 68.1 ADR and 66.5% KAST — their best player jr24racing posts only a 1.04 rating. Voca's top-3 outperforms NuTorious's entire roster.With no H2H history between these teams, we rely entirely on form and stats — both of which point overwhelmingly to Voca. NuTorious reportedly disbanded in May 2026 and reformed, which may explain their poor recent results. Voca are the strong pick here, though the Bo3 format gives NuTorious a theoretical chance to steal a map.

Predicted: Voca 74% conf.
AI NOT_STARTED 9 Jul 2026
MARS
vs
REGAIN

Quarterfinal 4: MARS vs REGAIN — Prediction & Match Analysis

Marsborne enter this BLAST Open North American Qualifier quarterfinal as the clear statistical favorite. Their 7W-3L record in the last 10 matches (70% win rate) outpaces regain's 6W-4L (60%), and their career win rate of 60.36% vs regain's 53.24% reflects a more established pedigree. Marsborne also hold the only H2H meeting on record, a 2-0 victory over regain in January 2026.The player stat comparison further favors Marsborne. Their roster averages a 1.057 rating vs regain's 1.019, with star fragger Wumbo posting a 1.27 rating and 84.49 ADR — the highest individual output in this matchup. marekiew (1.15 rating) and ogwizard (1.13) provide a deep top-3 that regain cannot match, as their best player Zucar sits at 1.16 but the drop-off to the rest of the roster is steeper.Both teams have similar KAST averages (70.4% vs 70.3%), suggesting comparable round consistency, but Marsborne's superior form, H2H edge, and higher individual ceiling make them the pick in this Bo3. This is a BLAST Open qualifier with significant stakes — Marsborne's experience in this format gives them an additional edge.

Predicted: Marsborne 63% conf.
AI RUNNING 8 Jul 2026
LDP
vs
FDB

Quarterfinal 2: LDP vs FDB — Prediction & Match Analysis

largadosypelados (LDP) face Fake do Biru (FDB) in the CCT South America Playoffs. LDP arrive with a 6W-4L record in their last 10 (60% win rate) versus FDB's 5W-5L (50%). LDP's career winrate of 65.29% (79W-42L) is significantly higher than FDB's 52.17% (36W-33L), reflecting a more established and successful organization. LDP's roster is deep: desh leads at 1.10 rating (71.52 ADR, 70.42% KAST), supported by realz1n (1.07 rating, 73.55% KAST), Alisson (1.06 rating), zmb (1.05 rating), and happ (1.05 rating). Their team average of ~1.06 rating across the top five is solid.Head-to-head history favors Fake do Biru at 4-2 in direct meetings, which is the main concern for LDP. However, the most recent H2H result went to LDP — they beat FDB 2-0 on June 27, 2026, suggesting the momentum has shifted. FDB's roster shows hardzao (1.11 rating) and detr0ittJ (1.11 rating) as their top performers, with Tuurtle (1.09) and pesadelo (1.09) providing strong support. FDB's team average is comparable to LDP's, making this a close individual matchup.The betting market prices LDP at 1.64 (implied ~61% probability) and FDB at 2.13 (implied ~47%), aligning with our assessment. LDP's superior career winrate, better recent form, and the momentum from their June 27 win over FDB give them the edge. The H2H deficit (2-4) is the main counterargument, but the trend is moving in LDP's favor. This is a competitive match with LDP holding a slight statistical advantage.

Predicted: largadosypelados 60% conf.
AI NOT_STARTED 8 Jul 2026
LEO
vs
Prestige Academy

Elimination match: LEO vs Prestige Academy — Prediction & Match Analysis

This United21 Season 52 Group B elimination match between LEO and Prestige Academy presents significant analytical challenges due to limited data for both teams. LEO have gone 0W-3L in their last 3 matches, losing to FaZe Up Next (0-2), venom (0-2), and train launcher (1-2). Prestige Academy have only 1 recorded match in the database — a 1-2 loss to Västerås. With no career stats available for either team and no head-to-head history, this is effectively a coin flip based on available data.LEO's roster shows three players with recorded stats: Kronkzz leads with a 1.11 rating and an impressive 81.57 ADR and 77.4% KAST — the highest KAST figure in this match. didde6 contributes at 0.98 rating, and DeeP at 0.94. However, two LEO players (Milo3k and FRONTEZZZ) have no recorded stats, suggesting they are newer or less experienced. Prestige Academy has no roster data available in the system, making any player-level comparison impossible.The betting market shows 1.00/1.00 odds — no market pricing available — confirming the extreme uncertainty. Given LEO's slight roster data advantage (at least three players with measurable stats vs. zero for Prestige Academy), we give LEO a marginal edge. However, this prediction carries very low confidence and should be treated as a near-coin-flip. Limited data available for both teams.

Predicted: LEO 52% conf.
AI RUNNING 8 Jul 2026
Keyd
vs
MIBR.A

Keyd vs MIBR.A — Prediction & Match Analysis

Keyd take on MIBR Academy in the Thunderpick World Championship 2026 South American Series #2 Group B. Keyd arrive with a 6W-4L record in their last 10 (60% win rate), edging MIBR Academy's 5W-5L (50%). More importantly, Keyd's individual player stats are significantly stronger: their top five players average around 1.09 rating, led by lash (1.11 rating, 72.68 ADR), naitte (1.10 rating, 79.04 ADR), and ckzao (1.09 rating, 76.74 ADR). MIBR Academy's best player Jerr1 sits at just 1.03 rating, with the rest of the squad below 1.00 — a clear statistical disadvantage.Head-to-head history slightly favors MIBR Academy at 2-1, but the most recent data shows Keyd beating Isurus 2-1 (May 22) and METANOIA WOLVES 2-0 (May 22), while MIBR Academy beat Isurus twice 2-0 in late June. Keyd's recent wins include a 2-1 over Game Hunters (July 6) and 2-0 over Yawara Esports (June 26). MIBR Academy's form is mixed — they lost to ex-Vexa 1-2 (July 4) and RED Canids Academy 1-2 (June 30), showing vulnerability to mid-tier opponents.The odds at 1.33-1.38 for Keyd (implied ~72-75% probability) reflect the market's confidence in Keyd's individual quality. Despite the H2H deficit, Keyd's superior player ratings and better recent form make them the pick. MIBR Academy's career winrate of 48.77% (198W-208L) is higher than Keyd's 40% (86W-129L), suggesting MIBR Academy has more experience — but Keyd's current roster quality appears to outperform their historical record.

Predicted: Keyd 63% conf.

Finished 489

AI FINISHED CORRECT 2 Jun 2026
SNG
vs
NAVI.J

Elimination match: SNG vs NAVI.J — Prediction & Match Analysis

NAVI Junior get a high-confidence stacked lean in the United21 Season 50 Group C Bo3 against Sangal ALTERS. Every visible metric aligns the same way: 56.81% career rate on 521 matches vs Sangal's 33.33% on 69, 4W-6L recent form vs Sangal's 2W-8L, and a clean 2-0 head-to-head record against the Sangal academy.The Sangal ALTERS caseSangal ALTERS bring the NiP-academy template — Tier 1 organisational backing, coaching infrastructure, and scrim partners. None of that changes the brutal recent reality of 2W-8L over the last 10 matches against a season-low career rate of 33.33%. The 0-2 H2H record confirms NAVI Junior has historically dominated the matchup.Why 76Career rate, recent form, head-to-head, and sample depth all align on NAVI Junior. The 76 confidence reflects the complete data stack — backing the academy with the stronger overall trajectory. No book line published, but the absence of a market signal doesn't change the structural read.

Correct: NAVI Junior 76% conf.
AI FINISHED CORRECT 2 Jun 2026
LDP
vs
BST.A

Decider Match: LDP vs BST.A — Prediction & Match Analysis

largadosypelados get a very high-confidence lock-pick lean in the Gamers Club Liga Série A Group A Bo3 against BESTIA Academy. The book signal is extreme: Epicbet prices largadosypelados at 1.07 vs BESTIA Academy's 6.60, implying roughly a 93% true win probability. Every structural metric agrees on the same side.The complete data stackCareer rate: largadosypelados 65.29% (79-42) vs BESTIA Academy 36.49% (27-47)Recent form: largadosypelados 7W-3L vs BESTIA Academy 5W-5LHead-to-head: largadosypelados 3-0Market: 1.07 / 6.60That's a 29-point career rate gap, a two-game form edge, a 3-0 head-to-head record, and a market price implying ~93% true win rate. There's effectively no upset signal anywhere in the data.Why 80The data is one-sidedly decisive. The only reason the confidence isn't above 85 is that a single Bo3 in a Brazilian league play-off always carries one-map variance even at a 1.07 favourite price — BESTIA Academy taking one map is genuinely plausible, even if a series win isn't.

Correct: largadosypelados 80% conf.
AI FINISHED CORRECT 2 Jun 2026
CSH.P
vs
G1

CSH.P vs G1 — Prediction & Match Analysis

GenOne get a low-confidence depth-side lean in the European Pro League play-in Bo3 against CYBERSHOKE Prospects. Both sides come in at 7W-3L recent form, which removes form as a tiebreaker. The structural differentiator is sample depth: GenOne's 523 career matches at 52.58% vs CYBERSHOKE's 72 matches at 50%.The CYBERSHOKE caseCYBERSHOKE's career rate (50%) is essentially tied with GenOne's (52.58%), and the 7-3 form line is identical. The main counter-case is that CYBERSHOKE are the visibly fresher project and at this Tier 2/3 level the in-form side often carries enough scrim quality to flip the depth gap. No book line removes the market tiebreaker entirely.Why 60This is essentially a coin flip between two evenly-matched rosters with similar career rates and identical recent form. GenOne's 523-match sample is the only meaningful differentiator. Backing the depth case at 60 confidence — the honest floor when both sides are matched on every other axis.

Correct: GenOne 60% conf.
AI FINISHED CORRECT 2 Jun 2026
LPH
vs
UNiTY

Winners match: LPH vs UNiTY — Prediction & Match Analysis

UNiTY esports get a clean market-aligned lean in the United21 Season 50 Group B Bo3 against LPH Gaming. Thunderpick prices the match decisively: UNiTY at 1.26 vs LPH at 3.40, implying roughly 79% true win probability. The structural case is mostly the sample depth: UNiTY's 484 career matches at 49.59% vs LPH's 47 at 53.19%.The LPH Gaming caseLPH carry a marginally higher career rate (53.19% on 47 matches) and a slightly better recent form line (5W-5L vs UNiTY's 4W-6L). The head-to-head is a clean 2-2 split which removes the historical-pattern tiebreaker. On paper LPH look genuinely competitive — but the market's 1.26 price suggests private practice data points the other way.Why 70Market consensus plus the 484-match career sample depth outweigh LPH's narrow form and rate edges. The 70 confidence reflects backing the book read while honestly weighting LPH's 2-2 H2H — UNiTY have not historically dominated the matchup, so a Bo3 upset is genuinely viable.

Correct: UNiTY esports 70% conf.
AI FINISHED CORRECT 2 Jun 2026
FUT.T
vs
INF

Elimination match: FUT.T vs INF — Prediction & Match Analysis

INFURITY Gaming get a clear market-and-form lean in the United21 Season 50 Group B Bo3 against FUT Turkuaz. Every visible metric aligns the same way: 50% career rate vs FUT's 45.61%, 5W-5L recent form vs FUT's 4W-6L, and a Thunderpick line of 1.37 / 2.85 confirming the book consensus.The FUT Turkuaz caseFUT bring a slightly smaller career sample (57 vs 88) and a marginally worse rate (45.61% vs 50%). No head-to-head data exists, so the matchup is unanchored historically. The recent 4W-6L form line trails INFURITY's 5W-5L by one match — not decisive in isolation but consistent with the broader structural read.Why 68Career rate, recent form, and market consensus all align on INFURITY. The 68 confidence reflects the clean structural stack while honestly weighting the absence of head-to-head data — when two rosters have never met, Bo3 variance can produce sudden upsets that the surface numbers don't predict.

Correct: INFURITY Gaming 68% conf.
AI FINISHED WRONG 2 Jun 2026
BL
vs
Atreides

BL vs Atreides — Prediction & Match Analysis

Atreides get a high-confidence stacked lean in the European Pro League play-in Bo3 against brazylijski luz. Every visible metric aligns the same way: 8W-2L recent form vs brazylijski luz's 4W-6L, a 56.25% career rate edge, a 2-0 head-to-head record, and a Thunderpick line of 1.51 / 1.94 confirming the book consensus.The brazylijski luz casebrazylijski luz carry the deeper career sample (59 vs 16) and the Polish Tier 2/3 reps that go with it. But the recent form line — 4W-6L over the last 10 — is the cold patch, and the 0-2 head-to-head record means there's no historical matchup case to lean on. Career sample depth doesn't usually beat a 40-point recent winrate gap in Bo3 play-in format.Why 75Form gap of 40 points plus market consensus plus a 2-0 head-to-head record plus career-rate edge all stack on Atreides. The 75 confidence reflects the complete data stack while honestly weighting Bo3 play-in variance — brazylijski luz's career sample is large enough that one good map is plausible, but the matchup pattern is decisive.

Wrong: Atreides 75% conf.
AI FINISHED WRONG 2 Jun 2026
YN
vs
Entropy

YN vs Entropy — Prediction & Match Analysis

Entropy get a low-confidence sample-depth lean in the European Pro League play-in Bo3 against Young Ninjas. The structural case rests entirely on the depth gap: Entropy carry 140 career matches at 36.43% (51-89), while Young Ninjas enter with no visible career sample. Recent form has Young Ninjas at 4W-6L vs Entropy's 5W-5L — a one-game edge that isn't decisive.The Young Ninjas caseThe NiP-affiliated academy roster comes in with no visible career data and a 4W-6L recent form line. There's no book price published, which removes the market tiebreaker entirely. The case for an upset is the standard unknown-roster-with-Tier-1-academy-backing template — real, but unanchored by concrete data.Why 60Entropy's 36.43% career rate isn't impressive in isolation, but 140 matches of visible competitive history is far more than Young Ninjas can match. Backing the depth-and-form combination while honestly weighting the unknown-roster scouting risk and the absence of any market signal to confirm the structural lean.

Wrong: Entropy 60% conf.
AI FINISHED WRONG 2 Jun 2026
BIG
vs
TL

Round 1: BIG vs TL — Prediction & Match Analysis

BIG enter this IEM Cologne Major 2026 Stage 1 Bo1 as slight favorites over Team Liquid. BIG's career record of 470W-360L (56.63%) is comparable to Liquid's 451W-328L (57.89%), making career stats a near-wash. The key differentiators are individual player ratings and recent form. BIG's roster is headlined by blameF (1.24 rating, 84.96 ADR, 1.20 K/D) and gr1ks (1.21 rating, 78.50 ADR, 1.23 K/D) — two elite performers. Liquid counters with EliGE (1.17 rating, 82.28 ADR) and NAF (1.15 rating). BIG's top two outrate Liquid's top two by a meaningful margin.The head-to-head record heavily favors Liquid 6-2 in eight historical meetings, but the most recent H2H matches are from 2023 and earlier — making this data less relevant to current form. The rosters have changed significantly since those meetings. Web research indicates BIG are ranked 27th globally (VRS) versus Liquid at 45th, a meaningful gap that reflects BIG's stronger recent performance. The betting market at 1.65/2.10 implies BIG win ~60% of the time.BIG's individual firepower advantage — blameF's 1.24 rating and 84.96 ADR are the highest of any player in this matchup — combined with their superior VRS ranking (27th vs 45th) makes them the data-driven pick. Liquid's siuhy (1.03 rating, 68.94 KAST) is a potential weak link that BIG can exploit in a Bo1 format. The historical H2H favors Liquid, but the outdated nature of those records and BIG's current form edge tips the balance.

Wrong: BIG 63% conf.
AI FINISHED CORRECT 2 Jun 2026
BB
vs
GG

Round 1: BB vs GG — Prediction & Match Analysis

BetBoom Team are heavy favorites in this IEM Cologne Major 2026 Stage 1 Bo1 against Gaimin Gladiators. BetBoom's career record of 198W-112L (63.87%) is substantially better than Gaimin Gladiators' 133W-98L (57.58%). BetBoom's roster is led by Magnojez (1.17 rating, 82.65 ADR) and zorte (1.15 rating, 1.21 K/D), while Gaimin Gladiators counter with Luken (1.19 rating, 80.78 ADR) and HEN1 (1.16 rating, 1.23 K/D). The individual ratings are closely matched at the top, but BetBoom's depth is superior.The head-to-head record favors BetBoom 1-0, with their only meeting resulting in a 2-0 Bo3 victory for BetBoom in September 2024. The betting market at 1.32/3.10 (Thunderpick) implies BetBoom win ~76% of the time — a strong market consensus. Notably, web research indicates BetBoom are fielding stand-in d1Ledez (1.15 rating) in place of regular player s1ren, which introduces some roster uncertainty. However, d1Ledez's 1.15 rating suggests he is a capable replacement.BetBoom's superior career winrate (63.87% vs 57.58%), H2H advantage (1-0), and deeper roster make them the clear pick. Gaimin Gladiators' veteran-heavy lineup (fer, HEN1, JOTA) has experience but their 57.58% career winrate and lower-ranked opposition history limit confidence in an upset. The stand-in situation for BetBoom is the primary risk factor, but d1Ledez's stats mitigate this concern.

Correct: BetBoom Team 71% conf.
AI FINISHED WRONG 2 Jun 2026
HERO
vs
SHK

Round 1: HERO vs SHK — Prediction & Match Analysis

Heroic enter this IEM Cologne Major 2026 Stage 1 Bo1 as moderate favorites over Sharks. Heroic's career record of 393W-274L (58.92%) is slightly below Sharks' 398W-254L (61.04%), but Heroic's experience against higher-tier international competition is the key differentiator. Sharks' winrate is built primarily against South American opposition, while Heroic have consistently competed in European Tier 1 events. There is no head-to-head history between these sides.In terms of individual player ratings, Sharks hold a slight edge at the top: doc leads with 1.18 rating and 82.88 ADR, while Heroic's best performer nilo rates at 1.15 with 79.34 ADR. However, Heroic's roster is more balanced — all five players rate between 1.06 and 1.15, while Sharks' bottom performer Gafolo rates at 1.08. The team averages are close: Heroic ~1.11 vs Sharks ~1.13. The betting market at 1.52/2.35 implies Heroic win ~66% of the time.Heroic's tactical structure and experience in high-pressure Bo1 formats at Major events gives them the edge here. Their recent roster restructuring in 2026 has stabilized around a core of nilo, alkarenn, xfl0ud, susp, and Chr1zN — a lineup with proven European Tier 1 experience. Sharks' aggressive Brazilian playstyle can be dangerous in a Bo1, but Heroic's disciplined approach and map pool depth make them the justified favorite.

Wrong: Heroic 61% conf.
AI FINISHED CORRECT 2 Jun 2026
GL
vs
NRG

Round 1: GL vs NRG — Prediction & Match Analysis

GamerLegion enter this IEM Cologne Major 2026 Stage 1 Bo1 with significant momentum, having just reached the grand final of IEM Atlanta 2026 (losing 0-3 to NAVI). Their career record of 324W-297L (52.17%) is lower than NRG's 293W-175L (62.61%), but GamerLegion's recent form and tournament pedigree are the key differentiators here. NRG's career winrate is inflated by results against lower-tier opposition, while GamerLegion have been competing at the highest level consistently.The head-to-head record favors GamerLegion 2-1 in three meetings: wins in March 2025 (2-1 Bo3) and September 2025 (2-0 Bo3), with NRG's only win coming in January 2026 (2-0 Bo3). GamerLegion's most recent H2H win was in September 2025, while NRG's win was in January 2026 — making the H2H record genuinely contested. NRG's roster is led by oSee (1.19 rating, 1.29 K/D) and XotiC (1.17 rating), while GamerLegion counters with PR (1.13), Kursy (1.12), and REZ (1.10). NRG holds a slight individual rating edge at the top end.The betting market at 1.38/2.80 (Thunderpick) implies GamerLegion win ~72% of the time — a strong market consensus. GamerLegion's IEM Atlanta grand final run demonstrates their ability to perform under Major pressure, and their 2-1 H2H advantage over NRG supports the pick. However, NRG's January 2026 2-0 win and their superior individual ratings at the top end keep this from being a high-confidence call.

Correct: GamerLegion 67% conf.
AI FINISHED WRONG 2 Jun 2026
MIBR
vs
TdU

Round 1: MIBR vs TdU — Prediction & Match Analysis

MIBR are heavy favorites in this IEM Cologne Major 2026 Stage 1 Bo1 against THUNDER dOWNUNDER, and the data strongly supports this assessment. MIBR's career record of 462W-330L (58.33%) dwarfs THUNDER dOWNUNDER's 34W-5L (87.18%), though the latter's small sample size (39 maps) against predominantly regional opposition makes direct comparison difficult. MIBR's roster is headlined by kl1m (1.30 rating, 84.38 ADR, 1.42 K/D) — the highest-rated player in this entire matchup — alongside insani (1.21 rating, 83.42 ADR). MIBR's team average across five players sits at approximately 1.17.There is no head-to-head history between these sides. THUNDER dOWNUNDER, formed in October 2025, has competed primarily in Oceanic regional events and the Asian Champions League. Their roster (asap 1.22, aliStair 1.16, Liazz 1.09) is capable but lacks the international top-tier experience that MIBR brings. The betting market at 1.26/3.40 (Thunderpick) implies MIBR win ~79% of the time — a market consensus that aligns with the statistical advantage.MIBR's kl1m is the standout performer with a 1.42 K/D ratio, the highest in this matchup by a significant margin. In a Bo1 format, individual impact matters enormously, and MIBR's top-end firepower — kl1m and insani combining for 1.255 average rating — gives them a decisive edge. THUNDER dOWNUNDER's Oceanic-focused preparation is a significant disadvantage against a battle-hardened MIBR squad.

Wrong: MIBR 74% conf.

How Our CS2 AI Predictions Work

Our CS2 AI prediction engine uses machine learning to analyze every upcoming professional Counter-Strike 2 match. The AI model processes 8+ statistical dimensions simultaneously: team form over the last 90 days, map-specific win rates, head-to-head history between the two rosters, individual player performance metrics (HLTV 2.0 rating, ADR, KAST%, opening duel win rates), roster stability, tournament seeding context, schedule fatigue and real-time betting odds from multiple bookmakers.

Unlike manual predictions that rely on human intuition and can be influenced by bias, our AI predictions are purely data-driven. The model weighs each factor according to its predictive power, with recent performance carrying the highest weight. Every 6-12 hours, the AI scans for upcoming matches without predictions and generates a complete analysis including a recommended pick, confidence rating, pros/cons for each team and a written analytical summary.

CS2 AI Predictions vs Traditional Predictions

Traditional CS2 predictions rely on human analysts who may be influenced by narrative bias, recency bias or emotional attachment to specific teams. AI predictions eliminate these biases by processing raw statistical data objectively. The AI model evaluates every match using the same rigorous methodology, whether it's a tier-1 grand final or a tier-2 qualifier match. This consistency produces more reliable results over large sample sizes.

Our AI prediction accuracy is tracked transparently at the top of this page. Every prediction is logged with its outcome, allowing you to verify the model's reliability across different tournament tiers, match formats and confidence ranges. The model continuously improves as more data accumulates, refining its understanding of which statistical signals are most predictive of match outcomes.

Using AI Predictions for CS2 Betting

AI-generated CS2 predictions are particularly valuable for identifying value bets. When the AI assigns a confidence rating that implies a higher win probability than what bookmaker odds suggest, that represents a statistical edge. For example, if the AI predicts Team A at 68% confidence but the bookmaker odds imply only a 55% probability, the discrepancy suggests potential value on Team A.

Each AI prediction includes a detailed analytical summary explaining the reasoning behind the pick, plus individual pros and cons for both teams. This transparency allows you to understand the AI's logic and make informed decisions. Combine AI predictions with your own knowledge of the CS2 scene for the most effective betting strategy.

CS2 AI Predictions FAQ

How does CS2 AI prediction work?

Our CS2 AI prediction system uses machine learning to analyze match data. For each upcoming match, the AI processes team form (last 90 days), map pool win rates, head-to-head records, individual player statistics (rating, ADR, KAST%, HS%), roster stability, tournament context and real-time betting odds. The model weighs these factors and outputs a predicted winner with a confidence percentage. Predictions are generated automatically every 6-12 hours.

How accurate are CS2 AI predictions?

Our AI prediction accuracy is tracked transparently on this page with a full win/loss record. The accuracy varies by match type and tournament tier — the model typically performs best on tier-1 BO3 matches where more historical data is available. Each prediction includes a confidence rating that reflects how strongly the statistical signals align. Higher confidence predictions (70%+) tend to have significantly better accuracy than lower confidence ones.

What is the difference between AI predictions and expert predictions?

AI predictions are generated entirely by machine learning models using statistical data, eliminating human bias. Expert predictions combine data analysis with qualitative insights like player motivation, team dynamics and map meta shifts. Both approaches have strengths — AI excels at processing large datasets consistently, while human experts can factor in intangible elements. On CS2Bet, all predictions are generated by our AI model for maximum objectivity and consistency.

How often are CS2 AI predictions updated?

The AI prediction engine runs every 6-12 hours, scanning for upcoming matches without predictions and generating new analyses. Predictions are typically published 12-48 hours before match start time, giving you ample time to review the analysis and compare against bookmaker odds. Once published, predictions are not revised — the original pick and confidence rating stand as a permanent record.

Can I use CS2 AI predictions for PrizePicks and player props?

AI match predictions focus on match winners and series outcomes. For player-specific projections like PrizePicks and player props, visit our dedicated CS2 PrizePicks and Player Props pages which provide individual player statistical projections. However, AI match predictions can inform player prop decisions — if the AI predicts a team to win convincingly, star players on that team may be more likely to exceed their projected stats.

What data sources does the CS2 AI prediction model use?

The AI model uses professional CS2 match data covering all major tournaments, leagues and qualifiers. Data includes match results, round-by-round scores, individual player statistics per map, roster composition history, tournament brackets and real-time betting odds from multiple bookmakers. The model only uses verified, structured data — it does not scrape social media or use unverified sources.

Inside the CS2 AI Prediction Model

Our AI prediction engine is built on a machine learning pipeline trained on thousands of professional Counter-Strike 2 match results. The model learns which statistical patterns most reliably predict match outcomes, then applies those learned relationships to every upcoming match in real time.

Data Inputs and Feature Engineering

The AI ingests structured data across eight dimensions for every match: team form over the last 90 days weighted by recency, map-specific win rates for each team across the active map pool, head-to-head records between the two rosters, individual player statistics including HLTV 2.0 rating, ADR and KAST percentage, roster stability scores reflecting recent lineup changes, tournament context such as group stage versus playoffs, schedule density measuring potential fatigue, and real-time bookmaker odds from multiple sportsbooks. Each data point is normalized and fed into the model as a numerical feature.

Confidence Ratings and Transparency

Every AI prediction includes a confidence percentage that reflects how strongly the statistical signals align. A 75% confidence rating means the model's internal probability estimate heavily favors one side across most input dimensions. A 55% rating indicates a closely contested matchup where signals are mixed. We publish these ratings transparently so you can calibrate your trust in each prediction. High-confidence picks above 70% historically outperform lower-confidence outputs, but lower-confidence predictions often correspond to matches where bookmaker odds offer the most value.

Track Record and Continuous Improvement

The AI model's full win/loss record is displayed at the top of this page with no selective filtering. Every prediction is logged permanently with its outcome, allowing you to evaluate accuracy across tournament tiers, match formats and confidence ranges. The model retrains periodically on new match data, incorporating the latest results to refine its understanding of which features carry the most predictive power. This continuous learning loop means the AI adapts to meta shifts, roster changes and evolving competitive dynamics without manual intervention.

Combining AI Predictions with Betting Strategy

AI predictions are most valuable when compared against bookmaker odds to identify statistical edges. When the AI's confidence rating implies a higher win probability than the odds suggest, that discrepancy may represent a value betting opportunity. Use the AI's analytical summary and team-level pros and cons to understand the reasoning, then apply disciplined bankroll management to size your wagers appropriately.