Neunkirchen-Seelscheid vs Frechen Statistics & Analysis

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Neunkirchen-Seelscheid

Sep 06, 2026 - 13:45

3 1.33

1 1.27

xG Accuracy: 59%

Frechen

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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 (4 gol) ✖ Errato
Entrambe le Squadre Segnano Entrambe le squadre segnano (BTTS) Sì Sì ✔ Corretto
1X2 Neunkirchen-Seelscheid Neunkirchen-Seelscheid ✔ Corretto
Approfondimenti sul Risultato Esatto 1-1, 1-0, 0-1, 2-1, 1-2 3-1 ✖ Errato

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 07:20 UTC Snapshot ID: dp-6360482

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Neunkirchen-Seelscheid win · Neunkirchen-Seelscheid 3–1 Frechen

Prediction ✔ Correct

Decision Grade B-

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: Oberliga Mittelrhein
Fixture: Neunkirchen-Seelscheid vs Frechen
Kickoff: 2026-09-06 13:45:00
1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
xG (showing): Neunkirchen-Seelscheid 1.33 — Frechen 1.27 (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.5% · No 45.5%
Correct score (top bin): 1-1 (12.5%)

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: Validated — Pre-match lean validated against 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 25, 2026 (UTC)

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Torna alle Statistiche

Oberliga Mittelrhein — Classifiche

#	SQUADRA	PG	V	P	S	PT
1	Eintracht Hohkeppel	3	2	1	0	7
2	Wegberg-Beeck	3	2	1	0	7
3	Fortuna Colonia II	3	2	0	1	6
4	VfL Vichttal	3	1	2	0	5
5	Hürth	3	1	2	0	5
6	SSV Merten	3	1	1	1	4
7	Neunkirchen-Seelscheid	3	1	1	1	4
8	Lindenthal-Hohenlind	3	1	1	1	4
9	Siegburger SV	3	1	1	1	4
10	Düren Merzenich	3	1	1	1	4
11	Hennef 05	3	1	1	1	4
12	Bornheim	3	1	0	2	3
13	Frechen	3	1	0	2	3
14	Chlodwig Zulpich	3	1	0	2	3
15	Porz	3	0	2	1	2
16	TuS BW Königsdorf	3	0	0	3	0

#	SQUADRA	PG	GS	GC	+/-	PT
1	Eintracht Hohkeppel	3	11	1	+10	7
2	Wegberg-Beeck	3	10	3	+7	7
3	VfL Vichttal	3	10	6	+4	5
4	Fortuna Colonia II	3	9	6	+3	6
5	SSV Merten	3	7	4	+3	4
6	Neunkirchen-Seelscheid	3	7	6	+1	4
7	Lindenthal-Hohenlind	3	7	7	0	4
8	Frechen	3	7	8	-1	3
9	Bornheim	3	6	6	0	3
10	Siegburger SV	3	6	7	-1	4
11	Düren Merzenich	3	5	7	-2	4
12	Chlodwig Zulpich	3	5	11	-6	3
13	Porz	3	4	6	-2	2
14	Hürth	3	2	0	+2	5
15	Hennef 05	3	2	4	-2	4
16	TuS BW Königsdorf	3	2	18	-16	0