2026-10-28
Sample League (demo data)·2026-10-28·Kickoff 16:00 MU LockedSample

Sample Harbour vs Sample Forest

Forecast stored 2026-10-27 20:00 MU · weights snapshot: form 15 · homeaway 15 · xg 20 · strength 15 · news 10 · tactical 10 · h2h 5 · external 5 · context 5

Full time
1 – 0
1X2: hit (Sample Harbour win) Score: predicted 2-0 O/U 2.5: miss BTTS: hit

Final forecast

Most likely result
Sample Harbour win
Predicted score
2–0
Alternative forecast
Draw
Goals market
Over 2.5 goals (54%)
BTTS
BTTS No (59%)
Expected goals
2.20 – 0.63 (total 2.83)
Confidence89/100

Strong analytical confidence

Data quality90/100

Good coverage

Model probabilities (Poisson)

Sample Harbour win
73.6%
Draw
17.3%
Sample Forest win
9.1%
Over 1.5
77.4%
Over 2.5
53.7%
Over 3.5
31.4%
Under 2.5
46.3%
BTTS Yes
41.4%
BTTS No
58.6%

1X2 sums to 100.0%. Over/Under and BTTS come from the same score grid.

Monte Carlo · 10,000 simulations · seed 2009198176

Home win
74.2%
Draw
16.9%
Away win
9.0%
BTTS Yes
41.6%
Over 2.5
54.3%

Average total: 2.84 goals

Most frequent scorelines (MC | Poisson)
  1. 2-0 14.1%2-0 14.3%
  2. 1-0 13.0%1-0 13.0%
  3. 3-0 10.7%3-0 10.5%
  4. 2-1 9.1%2-1 9.0%
  5. 1-1 7.9%1-1 8.2%
  6. 3-1 7.3%3-1 6.6%

Same expected goals, seeded from team names and date, so the run is reproducible.

Recent form

Sample Harbour
Last 5
WWLWD
Scored / match
1.7
Conceded / match
0.9
Sample Forest
Last 5
LLDLW
Scored / match
0.9
Conceded / match
1.4

Home / away statistics and expected goals

Sample Harbour (home)
Scored at home
1.8
Conceded at home
0.9
xG for
1.7
xGA
1
Strength
70/100
Sample Forest (away)
Scored away
0.9
Conceded away
1.5
xG for
0.9
xGA
1.6
Strength
55/100

Team news

Sample team news for demonstration.

Confirmed by an official or primary source. Absence severity: Sample Harbour 0, Sample Forest 1.

Tactical analysis

Sample tactical note: demonstration only.

Tactical edge 1 · rest days 7 vs 4 · H2H 4-1-0

Analytical explanation

The blended model expects Sample Harbour 2.20 – 0.63 Sample Forest (2.83 goals in total), built from 3 statistical model(s): Recent form, Home / away performance, Expected goals xG / xGA.

Poisson gives Sample Harbour 73.6%, draw 17.3%, Sample Forest 9.1%. The 10,000-run Monte Carlo (seed 2009198176) gives 74.2% / 16.9% / 9.0%, a largest gap of 0.6 points.

Team strength (Model F): shifts Sample Harbour expected goals by +8.2% and Sample Forest by -7.6%.

Team news & availability: shifts Sample Harbour expected goals by +3.0% and Sample Forest by -4.9%.

Tactical matchup: shifts Sample Harbour expected goals by +4.1% and Sample Forest by -3.9%.

Head-to-head (Model E): shifts Sample Harbour expected goals by +3.0% and Sample Forest by -3.0%.

External consensus (Model H): shifts Sample Harbour expected goals by +3.6% and Sample Forest by -3.4%.

Context: rest & congestion: shifts Sample Harbour expected goals by +3.0% and Sample Forest by -3.0%.

External reference (Sample reference) points the same way as the model. It is a reference point only and carries 5% weight.

The most likely scoreline is 2-0, yet any single scoreline is rarely above 15% likely. Over 2.5 goals (54%) and BTTS No (59%) follow from the same goal expectations. This is a probability, not a guarantee.

Risk factors

  • Football has high variance: one red card or deflection can overturn the most likely outcome.

Sources

Retrieved: 2026-10-27 12:00 MU · Sample records point to placeholder links.