Viitorul Curiţa vs CSM Adjud Statistics & Analysis

Viitorul Curiţa

Sep 19, 2026 - 14:00

1 1.45

2 1.15

xG Accuracy: 70%

CSM Adjud

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Mercati tracciati vs risultato finale

Ogni riga confronta la tendenza del modello pre-partita con il risultato finale.

Mercato Previsione Risultato Esito
Over / Under 2.5 Under 2.5 Over 2.5 (3 gol) ✖ Errato
Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì Sì ✔ Corretto
1X2 Viitorul Curiţa CSM Adjud ✖ Errato
Approfondimenti sul Risultato Esatto 1-1, 1-0, 2-1, 0-1, 2-0 1-2 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 02:24 UTC Snapshot ID: dp-8689649

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result CSM Adjud win · Viitorul Curiţa 1–2 CSM Adjud

Prediction ✖ Missed

Decision Grade F

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

Briefing AI della partita

Riepilogo AI della partita

Quick read on how the model reads this matchup.

League: Liga III - Serie 1
Fixture: Viitorul Curiţa vs CSM Adjud
Kickoff: 2026-09-19 14:00:00
1X2 (model): Home 42.4% · Draw 29.2% · Away 28.4%
xG (showing): Viitorul Curiţa 1.45 — CSM Adjud 1.15 (total xG ≈ 2.6)
Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 53.9% · No 46.1%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 53.9% · No 46.1%
Correct score (top bin): 1-1 (12.4%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Raccomandazione Storica

Decisione Storica: No Primary Bet

Esito: Missed — Pre-match 1X2 lean did not match the full-time result.

Fattori di Rischio Considerati Prima del Calcio d'Inizio

Price movement: implied probabilities and EV move with odds.
Sample / data gaps: low-information leagues widen forecast bands.
In-play state: goals and red cards are not modelled here.
Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Ultimo aggiornamento

September 29, 2026 (UTC)

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Torna alle Statistiche

Liga III - Serie 1 — Classifiche

#	SQUADRA	PG	V	P	S	PT
1	CSM FC Vaslui	6	5	1	0	16
2	USV Iaşi	6	5	1	0	16
3	CSM Adjud	6	4	1	1	13
4	Odorheiu Secuiesc	6	2	4	0	10
5	FC Bacău II	6	3	1	2	10
6	Aerostar Bacău	6	3	0	3	9
7	Târgu Secuiesc	6	2	2	2	8
8	Bradul Putna	6	2	1	3	7
9	Gheorgheni	6	2	0	4	6
10	Viitorul Curiţa	6	1	1	4	4
11	Paşcani	6	0	1	5	1
12	Ceahlăul Piatra Neamţ	6	0	1	5	1

#	SQUADRA	PG	GS	GC	+/-	PT
1	Bradul Putna	6	16	12	+4	7
2	CSM FC Vaslui	6	15	6	+9	16
3	CSM Adjud	6	14	6	+8	13
4	Târgu Secuiesc	6	13	12	+1	8
5	USV Iaşi	6	9	3	+6	16
6	Viitorul Curiţa	6	9	10	-1	4
7	Gheorgheni	6	9	11	-2	6
8	Aerostar Bacău	6	8	8	0	9
9	FC Bacău II	6	8	12	-4	10
10	Odorheiu Secuiesc	6	7	4	+3	10
11	Paşcani	6	7	17	-10	1
12	Ceahlăul Piatra Neamţ	6	1	15	-14	1