CS2PREDCT.gg
Match Prediction Engine
Top models accuracy · top-tier TRIBUNAL 81.7%    SENTINEL 81.1%    STRONGHOLD 79.9%    VANGUARD 75.3%    TIER3ELO 75.0%    NEXUS 73.0%    TIERELO 73.0%    ELOHQ 71.1%    TIER2ELO 70.8%    HIGHORACLE 68.2%   
Last refresh: 2026-08-01 23:42 UTC · Next:
Completed
BetBoom Circuit X Base Recife 2026 · Live · 19:00 · 2026-05-29 · OTHER · HLTV →
54%
46%
BESTIA: $36.68 (2) · x1.85 Pool $67.74 Bounty Hunters: $31.06 (1) · x2.18
Predictions locked — match finished
Predictions on this match · 3 latest
erners
May 29, 11:06
BESTIA
$8.53
+$15.75
won
Trash
May 28, 23:00
BESTIA
$28.15
+$51.99
won
Bakorino
May 28, 22:45
Bounty Hunters
$31.06
lost
Model Predictions (16)
APEX
ELO + Form + Streak + SOS (optimized)
70.6%
win probability
BESTIA
64.0%
accuracy
WR10C
Win rate top-10 + ELO + form
70.1%
win probability
Bounty Hunters
62.2%
accuracy
NEXUS
APEX + ORACLE both >65% same direction
69.5%
win probability
BESTIA
73.0%
accuracy
FORM
Win rate last 10 matches
69.0%
win probability
Bounty Hunters
53.2%
accuracy
ORACLE
ELO + ELOHQ + Form + Tilt + SOS
68.3%
win probability
BESTIA
64.9%
accuracy
HIGH-ORACLE
Oracle filtered to high confidence only (>67%)
68.3%
win probability
BESTIA
68.2%
accuracy
EAGLE
Rank + ELO + ELOHQ + Form + WinRate
67.5%
win probability
BESTIA
59.5%
accuracy
PHANTOM
ELO + TierELO + WinRate + Tilt (max accuracy)
64.7%
win probability
BESTIA
65.6%
accuracy
OPEN
Rank + form + head-to-head
63.1%
win probability
Bounty Hunters
59.6%
accuracy
XGPRO
Rank + H2H for top matches
63.1%
win probability
Bounty Hunters
62.1%
accuracy
MAJOR
Rank + H2H + Form for major events
63.1%
win probability
Bounty Hunters
62.4%
accuracy
MIND
Psychology + tilt + H2H
58.4%
win probability
Bounty Hunters
50.8%
accuracy
SQUAD
Player ratings
57.6%
win probability
Bounty Hunters
58.7%
accuracy
ELO
Team ELO rating
56.1%
win probability
Bounty Hunters
64.3%
accuracy
ELOFACE
ELO + training activity
54.0%
win probability
Bounty Hunters
64.9%
accuracy
SOS
Rank + form + opponent strength
52.3%
win probability
BESTIA
64.2%
accuracy
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