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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 WRONG 30 May 2026
NIP
vs
FaZe

Lower bracket final: NIP vs FaZe — Prediction & Match Analysis

FaZe Clan enter this Bo3 as clear statistical favorites, backed by a 6W-4L run in their last 10 matches compared to NIP's 5W-5L record. More tellingly, FaZe's career winrate of 57.7% significantly outpaces NIP's 50.7%, reflecting a more consistent track record across a larger sample. The head-to-head record is decisive: FaZe lead 6-2 in direct meetings, demonstrating a structural advantage over NIP in series play.At the player level, both teams post an average roster rating of 1.08, making this a close statistical matchup. However, FaZe's top five — frozen (1.17), Twistzz (1.15), broky (1.12), Jcobbb (1.11), and Neityu (1.09) — form a remarkably tight and consistent unit with no weak links in the starting five. NIP's cairne (1.20) and xKacpersky (1.18) are individually impressive, but the team carries THREAT (0.72 rating) as a liability in the lineup, which FaZe can exploit in a Bo3 format.The betting market prices FaZe at 1.58 and NIP at 2.20, implying roughly a 63/37 split — consistent with our data-driven assessment. FaZe's H2H dominance, superior career winrate, and more balanced roster depth make them the pick here, though NIP's individual star power keeps this from being a high-confidence call.

Wrong: FaZe 65% conf.
AI FINISHED CORRECT 29 May 2026
FUT.T
vs
LPH

FUT.T vs LPH — Prediction & Match Analysis

This United21 Season 50 Group B match features FUT Turkuaz against LPH Gaming. LPH Gaming hold a 53.19% career winrate (25W-22L) and their five tracked players average a 0.96 rating, led by Pepo (1.08). FUT Turkuaz carry a 45.61% career winrate (26W-31L) and have no individual player stats available in the database, making a full statistical comparison impossible.LPH's ADR of 68.6 and KAST of 68.0% are modest but represent the only concrete performance data available. FUT Turkuaz is a lower-tier Turkish squad (distinct from the main FUT Esports organization) that has competed in Exort Series and ESEA Season 55. Their below-50% career winrate suggests they have struggled at this level.LPH Gaming are the pick based on their superior career winrate and the only available player stats. Confidence is capped at 57% due to the absence of FUT Turkuaz player data and the limited sample sizes for both teams.

Correct: LPH Gaming 57% conf.
AI FINISHED CORRECT 29 May 2026
HAVU
vs
aAa

Round 3: HAVU vs aAa — Prediction & Match Analysis

HAVU enter this CCT Europe 2026 Series #3 Group Stage match as heavy favorites against against All authority (aAa). The statistical gap is substantial: HAVU average a 1.07 team rating (zehN 1.11, ottoNd 1.08, hoody 1.07) versus aAa's 0.94 (rain240 1.06, Tarkky 0.99, SLIE9000 0.97). HAVU's ADR of 74.1 dwarfs aAa's 64.2, and their KAST of 69.9% exceeds aAa's 67.1%.Career records tell an even starker story. HAVU carry a 55.24% winrate across 668 maps (369W-299L), while aAa have won just 2 of 11 career maps — an 18.18% winrate. aAa only entered the CS2 scene in November 2025 and have a roster (AsI0K, Saax, SLIE9000, Tarkky, rain240) that is still developing. There is no head-to-head history between these sides.Every metric points to HAVU: superior ratings, ADR, KAST, career winrate, and experience. Confidence is set at 74% — strong, but not maximum, as aAa's unknown ceiling and HAVU's own inconsistencies in recent form introduce some uncertainty.

Correct: HAVU 74% conf.
AI FINISHED CORRECT 29 May 2026
MISA
vs
LILMIX

Elimination match: MISA vs LILMIX — Prediction & Match Analysis

Misa Esports face Lilmix in the European Pro League Series 7 Closed Qualifier elimination match. Misa carry a 54.37% career winrate (56W-47L) compared to Lilmix's 44.95% (338W-414L) — a significant gap in historical performance. Misa's KAST of 71.2% also edges Lilmix's 69.2%, indicating better round-by-round consistency. Recent form from web sources shows Misa beat SAW 2-0 in CCT Europe 2026 Challengers #3, while Lilmix entered this match on a losing streak against Young Ninjas, G2 Ares, and Vexar.Lilmix hold a slight edge in average player rating (1.08 vs 1.06) and ADR (74.6 vs 72.4), with Sn0w (1.16) as their standout. Misa's rim3 (1.14) is their top performer. The teams have no head-to-head history. Lilmix's large career sample (752 maps) is notable, but their 44.95% winrate across that sample is a red flag.Misa's superior career winrate, better KAST, and more positive recent form (including a 2-0 win over SAW) make them the pick. Confidence is 60% — a slight edge given Lilmix's individual stat advantage and the lack of H2H data.

Correct: Misa Esports 60% conf.
AI FINISHED CORRECT 29 May 2026
BCA
vs
ALGO

Round of 16 match 5: BCA vs ALGO — Prediction & Match Analysis

This Thunderpick World Championship 2026: European Series #1 Round of 16 Bo3 is a tight matchup. ALGO Esports hold a statistical edge in average player rating (1.11 vs Apogee's 1.08) and ADR (76.6 vs 72.6), with adeX (1.13), nukkye (1.12), Diviiii (1.11), and aNdu (1.10) forming a strong top-four. Betclic Apogee's hades (1.13) is their standout, but the team's collective ADR of 72.6 trails ALGO's 76.6 by a notable margin.Career winrates are nearly identical — Apogee at 51.22% (105W-100L) and ALGO at 52.56% (82W-74L). There is no head-to-head history between these sides. Apogee carry a higher global ranking (~49-101 vs ALGO's ~163), which suggests they have competed at a higher tier, but ALGO's individual stats in this dataset are superior.ALGO's higher ADR and deeper top-end ratings give them a slight statistical edge in a Bo3 format where map depth is tested. However, Apogee's tournament pedigree and ranking advantage introduce uncertainty. Confidence is set at 58% — a marginal lean toward ALGO based on the raw numbers.

Correct: ALGO Esports 58% conf.
AI FINISHED CORRECT 29 May 2026
NEMI
vs
ex-RUBY

Round of 16 match 8: NEMI vs ex-RUBY — Prediction & Match Analysis

Nemiga and ex-RUBY meet in the BC Game Masters: Europe Series #2 Round of 16, with a meaningful head-to-head record to draw from. Nemiga lead the H2H 2-1, and crucially, they won the two most recent meetings: a 2-1 Bo3 on May 13, 2026 (CCT Europe Series 1 playoffs) and a 2-1 Bo3 on April 25, 2026 (NODWIN Clutch Series Season 7). ex-RUBY's only win came in January 2026 (CCT Europe Series #13).Statistically, the teams are nearly identical. Nemiga average a 1.10 team rating (khaN 1.12, syph0 1.12, KaiR0N 1.11, sowalio 1.11) versus ex-RUBY's 1.10 (Kaide 1.17, relaxxie 1.14). ex-RUBY hold a slight edge in ADR (76.3 vs 74.5) and career winrate (61.25% vs 57.2%), while Nemiga's KAST (71.8%) is essentially level with ex-RUBY's (71.9%).The H2H momentum is the decisive factor here. Nemiga have beaten ex-RUBY twice in the last six weeks, both in Bo3 formats. Their career record (457W-342L) also reflects a much larger and more battle-tested sample than ex-RUBY's 80 maps. Nemiga are the pick at 63% confidence.

Correct: Nemiga 63% conf.
AI FINISHED CORRECT 29 May 2026
AM
vs
JS

Quarterfinal 4: AM vs JS — Prediction & Match Analysis

This Playoffs Quarterfinal is a closely contested matchup. Johnny Speeds hold a 62.03% career winrate across 345 maps (214W-131L), compared to AM Gaming's 53.92% over 102 maps (55W-47L). Johnny Speeds also edge AM in average player rating (1.11 vs 1.09), ADR (74.5 vs 73.0), and KAST (72.0% vs 71.6%), suggesting a slight statistical advantage across the board.The only head-to-head meeting went to AM Gaming — a 2-1 Bo3 victory on March 10, 2026 in the Parken Challenger Championship Season 2. That result is notable, but a single data point in a playoff context carries limited predictive weight. Johnny Speeds' roster — draken (1.14), nawwk (1.12), jocab (1.11) — is marginally stronger on paper than AM's syrsoN (1.14), Marix (1.09), kyuubii (1.08).Johnny Speeds' superior career record and slightly better team stats make them the narrow pick, but AM's H2H win and competitive individual ratings keep this close. Confidence is set at 60% — a slight edge only.

Correct: Johnny Speeds 60% conf.
AI FINISHED CORRECT 29 May 2026
OMG
vs
DM

OMG vs DM — Prediction & Match Analysis

This Group B match at 1xBet FRAG Season 17 presents a significant data imbalance. Omega's five active players average a 1.08 rating, led by SNk and Botpa1 (both 1.11) and adai (1.10). Their ADR of 72.6 and KAST of 69.8% reflect a functional, experienced lineup. Dark Moon, by contrast, have only one player with meaningful career stats on record — Leoo at 0.81 rating — with the remaining four showing no tracked data.Dark Moon carry a 0% career winrate in the database, indicating they are a newly registered or very low-activity team. Omega's career record of 40.3% winrate (27W-40L) is below average, but their roster depth and individual stats are vastly superior to what Dark Moon can show. There is no head-to-head history between these sides.The prediction favors Omega based on the overwhelming statistical gap in player ratings and the near-total absence of data for Dark Moon. Confidence is capped at 62% due to Omega's own below-average career winrate and the uncertainty that comes with an opponent whose form is essentially unknown.

Correct: Omega 62% conf.
AI FINISHED CORRECT 29 May 2026
HOTU
vs
PCF

HOTU vs PCF — Prediction & Match Analysis

HOTU enter this 1xBet FRAG Season 17 Group A match as clear statistical favorites. Their five-man starting lineup averages a 1.13 rating — led by mizu (1.17), frontales (1.14), and gokushima (1.13) — compared to PCIFIC's team average of just 1.01. HOTU's ADR of 74.6 versus PCIFIC's 69.6 reflects a meaningful fragging edge, and their KAST of 71.8% versus 68.9% shows greater round-by-round consistency.Career records further support HOTU: they carry a 57.45% winrate across 322 maps (185W-137L), while PCIFIC sit at 50.7% over 71 maps (36W-35L). The two sides have no prior head-to-head meetings, so there is no H2H data to factor in. HOTU's deeper experience base and superior individual stats make them the pick here.With no H2H history and PCIFIC's roster showing no player above a 1.04 rating, HOTU's statistical edge is consistent across every metric. Confidence is set at 67% — a clear advantage, but not dominant given the limited sample size for PCIFIC.

Correct: HOTU 67% conf.
AI FINISHED WRONG 28 May 2026
PSN.A
vs
RT

PSN.A vs RT — Prediction & Match Analysis

ReThink hold a 6W-4L record in their last 10 matches, including wins over ENRAGE, ZOTIX, Glitchtech Esports, Clutchain Female, SE7ENS Esport, and MANA eSports (2-1). Their career record of 11W-20L (35.48% winrate) is modest, but their recent form is stronger than Passion Academy's. Passion Academy have limited career data (0 wins/losses recorded in career stats) and a 3W-4L record in their last 7 matches, with losses to MASQ (0-2), LPH Gaming (1-2 twice), and INFURITY Gaming (0-2).The head-to-head record shows ReThink won their only prior meeting 2-0 on April 29, 2026, which is a meaningful data point. Passion Academy's recent wins came over Oldboys (2-0), LPH Gaming (2-1), and Sangal ALTERS (2-1), suggesting they can compete but face tougher opposition poorly. No betting odds are available for this match, limiting market context.With limited data on both teams, this is a lower-confidence prediction. ReThink's better recent form, the H2H win, and Passion Academy's lack of career stats in the database lead us to lean ReThink. However, the limited sample sizes and absence of odds mean uncertainty is high — confidence is set accordingly.

Wrong: ReThink 58% conf.
AI FINISHED WRONG 28 May 2026
ex-RUBY
vs
OMG

Round of 16 match 2: ex-RUBY vs OMG — Prediction & Match Analysis

ex-RUBY are in outstanding form heading into this Round of 16 match, posting an 8W-2L record in their last 10 matches. Their recent wins include ASTRAL (2-1), PsychoFace (2-0), Rune Eaters (2-1), GenOne (2-1), Phantom (2-0), Just Players (2-0), and Rune Eaters again (2-1). Their only losses came to Ursa (1-2) and HOTU (1-2), both competitive series. Career winrate of 61.25% (49W-31L) is strong for their sample size.Omega, by contrast, have a 4W-6L record in their last 10 and a career winrate of just 40.3% (27W-40L) — the lowest of any team in today's predictions. Their recent losses include HAVU (1-2), INOX Division (1-2), Lavked (1-2), EYEBALLERS (1-2), and ASTRAL (0-2). The head-to-head record is 2-0 in ex-RUBY's favor, with wins of 2-0 (March 19) and 2-1 (March 1) in 2026.Thunderpick odds of 1.24 / 3.53 imply roughly an 81% win probability for ex-RUBY, which is well-supported by the data. The combination of dominant recent form, superior career winrate, and a clean 2-0 H2H record makes ex-RUBY a strong favorite. This is one of the clearest calls in today's slate.

Wrong: ex-RUBY 74% conf.
AI FINISHED WRONG 28 May 2026
M8
vs
G1

Round of 16 match 1: M8 vs G1 — Prediction & Match Analysis

GenOne are in exceptional form heading into this Round of 16 match, posting an 8W-2L record in their last 10 matches with wins over HEROIC Academy (2-1), ASTRAL (2-1), Leo Team (2-0), megoshort (2-0), Esport Academy Copenhagen (2-0), MANA eSports (2-0), Oramond (2-0), and SPARTA (2-1). Ranked #95 globally with a 59% win rate over the last month, GenOne are clearly in peak form. Their career record of 275W-248L (52.58% winrate) reflects a large, experienced sample.Gentle Mates, by contrast, are 5W-5L in their last 10, with losses to magic (0-2 twice), FURIA (1-2), MOUZ (1-2), and Sinners (1-2) — all strong opponents. Their wins include Heroic (2-0), K27 (2-1), ASTRAL (2-0), FOKUS (2-0), and ALGO Esports (2-0). The head-to-head record shows Gentle Mates won their only prior meeting 2-0 in January 2026, but GenOne's current form is dramatically better.The betting market strongly favors Gentle Mates (Thunderpick: 1.15 / 4.80; Epicbet: 1.15 / 4.70), implying roughly an 87% win probability for Gentle Mates. This is a significant market lean that we partially disagree with — GenOne's 8W-2L form and #95 ranking suggest they are undervalued at 4.70-4.80. However, Gentle Mates' wins over Heroic and FURIA show they can compete at a higher level. We lean GenOne as a value pick, but acknowledge the market's strong contrary view.

Wrong: GenOne 72% 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.