FINAL
22 Feb 2023 22:52 UTC
CQ-GESUS CS2-APEX
SHAP
AUC 0.702
54% CONF
WRONG
Young Ninjas 46.0%
54.0% BIG Academy
Why this prediction?
+100.0
Elo advantage
+84.2
Elo implied probability
+75.5
Elo win probability
โ46.2
Schedule difficulty edge
โ37.7
Avg opponent quality diff
+32.5
Consensus Win Prob Team1
+29.3
Days since last match (T1)
+26.6
Glicko2 rating (T2)
+25.2
Elo (T1)
+24.7
Glicko2 rating (T1)
mirage
16
โ
6
Young Ninjas WON
Round timeline loading โ available after demo parsing
Round โ Player Stats
| Player | K | D | A | HS | ADR | KAST |
|---|---|---|---|---|---|---|
|
|
| Player | Rating | K | D | A | HS% | ADR | KAST |
|---|---|---|---|---|---|---|---|
| Young Ninjas โ won this map | |||||||
|
eraa
SE
|
1.54 | 22 | 11 | 0 | 0% | 94.6 | 81.8% |
|
nilo
SE
|
1.48 | 20 | 12 | 0 | 0% | 95.0 | 77.3% |
|
maxster
SE
|
1.22 | 13 | 11 | 0 | 0% | 66.9 | 86.4% |
|
adamb
SE
|
1.13 | 17 | 16 | 0 | 0% | 76.6 | 63.6% |
|
LNZ
SE
|
0.92 | 14 | 14 | 0 | 0% | 68.9 | 68.2% |
| BIG Academy | |||||||
|
prosus
DE
|
0.85 | 12 | 16 | 0 | 0% | 68.7 | 68.2% |
|
s1n
DE
|
0.68 | 12 | 18 | 0 | 0% | 61.9 | 59.1% |
Highlights available for subscribers
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overpass
16
โ
9
Young Ninjas WON
Round timeline loading โ available after demo parsing
Round โ Player Stats
| Player | K | D | A | HS | ADR | KAST |
|---|---|---|---|---|---|---|
|
|
| Player | Rating | K | D | A | HS% | ADR | KAST |
|---|---|---|---|---|---|---|---|
| Young Ninjas โ won this map | |||||||
|
nilo
SE
|
1.70 | 26 | 16 | 0 | 0% | 119.3 | 84.0% |
|
maxster
SE
|
1.29 | 21 | 13 | 0 | 0% | 82.2 | 76.0% |
| BIG Academy | |||||||
|
prosus
DE
|
1.28 | 20 | 18 | 0 | 0% | 86.0 | 76.0% |
|
s1n
DE
|
1.20 | 21 | 17 | 0 | 0% | 83.6 | 64.0% |
| Young Ninjas โ won this map | |||||||
|
adamb
SE
|
1.13 | 18 | 16 | 0 | 0% | 75.1 | 72.0% |
|
LNZ
SE
|
0.91 | 15 | 17 | 0 | 0% | 61.4 | 76.0% |
|
eraa
SE
|
0.88 | 12 | 15 | 0 | 0% | 55.2 | 68.0% |
Highlights available for subscribers
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๐ฐ
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Available after demo parsing completes
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Available after the demo pipeline processes this match
Quantum Locked
Quantum signals require Uranium-tier data: <10% null features.
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