San Diego vs Philadelphia Union Bet Builder Tip
A research tool, not a bookmaker, we build the picks, you place them with your own bookie. We don't take bets. 18+
Our Model's Picks
Live bookie odds · verified record coming soonMore to Build With
Extra markets · not trackedPlayer Form
Projected from club-season form, informational, not part of our verified record. Build your own bet.
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M. Iloski Philadelphia UnionShots on Target 1+ 70%
M. Iloski averages 1.33 SoT/match (21 apps), away vs opp conceding 4.5 SoT/game → lambda 1.20, P(1+)=70% P(2+)=34%
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M. Ingvartsen San DiegoShots on Target 1+ 63%
M. Ingvartsen averages 0.90 SoT/match (21 apps), home vs opp conceding 4.5 SoT/game → lambda 1.00, P(1+)=63% P(2+)=26%
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Cavan Sullivan Philadelphia UnionShots on Target 1+ 48%
Cavan Sullivan averages 0.74 SoT/match (19 apps), away vs opp conceding 4.5 SoT/game → lambda 0.66, P(1+)=48% P(2+)=14%
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O. Valakari San DiegoShots on Target 1+ 47%
O. Valakari averages 0.57 SoT/match (21 apps), home vs opp conceding 4.5 SoT/game → lambda 0.63, P(1+)=47% P(2+)=13%
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M. Ingvartsen San DiegoAnytime Scorer 35%
M. Ingvartsen on 0.52 goals/match (21 apps), home vs opp conceding 1.00 goals/game → lambda 0.43, P(anytime scorer)=35%
Projections from club-season form only. We never record or grade player markets. They sit outside our verified record by design. 18+ · BeGambleAware.
How is this built?
This bet builder is auto-generated by our football model across hundreds of weekly picks. Every leg is a team market (match result, goals, BTTS). Each leg shows the model's probability alongside the fair odds, so you can see exactly where we think the edge is. We don't cherry-pick wins; we log every prediction we publish, win or lose. Player markets shown above are informational only and never count toward that record. This is a league we don't have a proven record on yet, so these legs are the model's read on the bookies' odds, not yet part of our verified record.
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