Statistics / Football / Nicaragua. Primera Division / Walter Ferretti vs Jalapa

Walter Ferretti vs Jalapa Statistics & Analysis

Oct 04, 2026 - 00:00
1.29
1.31
35% 30% 36%

Final betting verdict

AI may see selective value, but market disagreement blocks a Primary bet — monitor only.

  • No value on 1X2 (Jalapa vs. current odds)
  • Thin edge: Under 2.5 (+1.0% — below default sizing bar)
  • Thin edge: BTTS Yes (+1.9% — below default sizing bar)
  • Significant line move — see market context below.
  • The market has moved away from Jalapa, but the model still strongly favours Jalapa.
Low conviction (Decision Strength 3/10) — prefer smaller stakes or skip.
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Betting Recommendation

OddsGPT AI Confidence Score: 3.0 / 10

1X2 ❌ No bet on 1X2 — no value vs. current odds on this market
Model 35.6% Jalapa Market (no-vig) 22.6% Odds P1.5 4.0 EV -1.1%
Advanced Metrics Raw model EV +42.4% · Adjusted for market disagreement
Small positive edge on a tracked line (~1.9%), below the 2.0% default betting threshold — no Primary pick.
Over / Under 2.5 Lean
Over 2.5: 48.2% Under 2.5: 51.8%
Value lean: Under 2.5
Both Teams To Score Lean
Yes: 54.5% No: 45.5%
Value lean: BTTS Yes
1X2 Poor value
Jalapa
Model probability 35.6%
Market Probability (No-vig) 22.6% @ 4.0
Raw model edge vs market +13.0 percentage points · Moderate
Risk-adjusted EV (P1.5) : -1.1%
Advanced Metrics
Raw model EV: +42.4% — Adjusted for market disagreement
The market has moved away from Jalapa, but the model still strongly favours Jalapa.
Betting decision (model vs. market EV)
No bet (default stance) — No line reaches the configured +EV threshold for a default bet; treat as analysis only.
OddsGPT AI Confidence Score: 3.0 / 10
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
O/U 2.5: EV Over -5.1% · EV Under +1.0% (6 book pairs)
BTTS: EV Yes +1.9% · EV No -9.0%

Lean = tilt only · Selective = below Primary

Should you bet on this match? No default bet: the model does not show +EV at the configured threshold on available lines.

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Primera Division
  • Fixture: Walter Ferretti vs Jalapa
  • Kickoff: 2026-09-20 00:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): Walter Ferretti 1.29 — Jalapa 1.31 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.9%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • 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 (12.6%)

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.

Best Bet + Reason

No bankroll-sized bet is implied here.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a priced +EV ticket. Lean ≠ EV. If book odds are missing, EV cannot be computed — size to zero unless you deliberately accept discretionary risk (keep any experiment small, e.g. ≤0.25–0.5% bankroll).

How is Consensus EV calculated vs No-vig / Raw probability?

Consensus decision EV (P1.5) ≈ model probability × consensus decimal odds − 1 (not a single outlier book). Market Probability (No-vig) is the three-way vig-removed implied % (for pp gap). Consensus implied (with vig) = 1/P1.5 — display only, not used for pp or Primary EV. Probability edge (pp) is not the same number as EV %.

Why is there no “best bet” on this page?

Two different EV gates: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% for selective/context lines only — it is not a default Primary. A line can clear +2% and still fail Primary (e.g. +4.5% < +5.0%), or pass EV and still fail xG/strength gates.

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

September 30, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
Primera Division Primera Division — Standings
# TEAM MP W D L PTS
1 Managua 9 7 2 0 23
2 Diriangén 9 6 3 0 21
3 Real Estelí 9 5 3 1 18
4 UNAN Managua 9 5 2 2 17
5 San Marcos 9 3 2 4 11
6 H&H Export 9 3 2 4 11
7 Matagalpa 9 3 0 6 9
8 Walter Ferretti 10 2 1 7 7
9 Jalapa 10 2 1 7 7
10 Rancho Santana 9 1 2 6 5
# TEAM MP GS GC +/- PTS
1 Managua 9 27 9 +18 23
2 Diriangén 9 18 7 +11 21
3 Real Estelí 9 17 6 +11 18
4 Walter Ferretti 10 12 17 -5 7
5 UNAN Managua 9 11 7 +4 17
6 San Marcos 9 9 12 -3 11
7 H&H Export 9 9 17 -8 11
8 Rancho Santana 9 7 14 -7 5
9 Jalapa 10 5 14 -9 7
10 Matagalpa 9 4 16 -12 9