CLAUDE AI · BLENDED FROM 4 MODELS
PRE-MATCH MODEL
CONF 48/100
MED
🔮 PREDICTED FULL-TIME SCORE

KYO

GAM
most likely scoreline · 13.7% probability
🤖 AI BREAKDOWN
BAGAIMANA AI LIHAT PERTANDINGAN
PRE-MATCH
h + d + a = 100% · stacked share
💰 AI BETTING TIP
DOUBLE CHANCE — X2
Tight 1X2 — single-side too risky. Double chance covers 65% of outcomes with smaller payout.
CONF 65%
avoid: 1X2 single
4 models
🤖 AI ANALYSIS
Slight away edge despite home venue; Gamba's league position + away draw form vs Kyoto's poor home record creates near-parity.
🤖 AI REASONING
kenapa AI pilih ini
WHY KYOTO SANGA CHALLENGED
Kyoto home form crisis (LLDL) vs Gamba away discipline (DDWLL — 3 draws in last 5 away)
+20.0%
Kyoto recent mixed (LLWLW) — inconsistency; Gamba recent DLDDW — conservative, hard to beat
+15.0%
WHY GAMBA OSAKA FAVORED
Gamba Osaka 3rd vs Kyoto 5th (4-pt gap); Gamba +3 GD vs Kyoto +2 GD
+25.0%
🤖 CONTEXT · NEUTRAL FACTORS
- Kyoto home form crisis (LLDL) vs Gamba away discipline (DDWLL — 3 draws in last 5 away)
- Kyoto recent mixed (LLWLW) — inconsistency; Gamba recent DLDDW — conservative, hard to beat
🤖 AI LIVE TIMELINE
TIMELINE PROBABILITAS
Bagaimana AI re-proyeksi setelah setiap event
H
DRAW
A
Probabilities re-blended at each event · 0 events marked
→ Derived from goal events + remaining time
🤖 AI SCORE MATRIX
PROBABILITAS SCORELINE
All possible scorelines · Poisson from xG
0%
13.7%+
0
1
2
3
4
5
6+
0
13.5
13.7
6.9
2.3
0.6
0.1
·
1
13.4
13.5
6.8
2.3
0.6
0.1
·
2
6.6
6.7
3.4
1.1
0.3
0.1
·
3
2.2
2.2
1.1
0.4
0.1
·
·
4
0.5
0.6
0.3
0.1
·
·
·
5
0.1
0.1
·
·
·
·
·
6+
·
·
·
·
·
·
·
MOST LIKELY · TOP 5
0 — 1
13.7%
0 — 0
13.5%
1 — 1
13.5%
1 — 0
13.4%
0 — 2
6.9%
Top 5 = 61.0% · rest 39.0%