Amal Tiznit
vs
Ittihad Tanger
Botola Pro prediction
Our model says: Amal Tiznit 1–0 Ittihad Tanger
The model makes it 36% Amal Tiznit, 34% draw, 30% Ittihad Tanger — fair odds of 2.78, 2.94 and 3.33. Fair odds are simply 100 ÷ the probability; they are the model's own number, not a bookmaker's price.
Most likely scoreline: 1-0.
Expected goals: Amal Tiznit 0.97, Ittihad Tanger 0.78.
Both teams to score: 34%. Over 2.5 goals: 25%, under 2.5: 75%.
Model confidence: Low.
Published · updated
Live win probability
From kick-offThese update every few seconds once the match kicks off, as the model re-reads the score, the clock and any red cards. The second figure is fair odds — 100 ÷ probability, the price with no margin in it.
Model insights: Amal Tiznit vs Ittihad Tanger
Every scoreline the model considered
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| 0 | 18 | 13 | 5 | 1 | ||
| 1 | 16 | 14 | 5 | 1 | ||
| 2 | 8 | 6 | 2 | |||
| 3 | 3 | 2 | ||||
| 4 | ||||||
| 5 |
Each cell is one exact result, shaded against the likeliest one; figures below 1% are left blank rather than rounded to zero. Blue cells are Amal Tiznit wins, grey are draws, red are Ittihad Tanger wins — the three shaded areas ARE the 1/X/2 split above, which is the sum of the cells in each. The most likely scoreline is simply the darkest cell inside whichever area the model favours.
Has the model earned this number?
It puts Amal Tiznit at 36% here. Across 2437 settled matches, 1728 forecasts have landed in the 30–40% band; those outcomes actually happened 33.4% of the time, against an average forecast of 33.7%. In this range the two line up, so the figure above can be read literally.
Every settled prediction on this site is scored against an uninformed baseline, band by band, and published whether or not it flatters the model — see the full record.
Two sides the ratings cannot separate
Amal Tiznit carry a model rating of 6.35 against 6.37 for Ittihad Tanger. The scale is anchored so that an average side in one of Europe's big five leagues sits at 6.85, and it is adjusted for the strength of each team's league, so the two numbers are comparable even across borders.
A gap that small is inside the noise of the rating itself — treat the two as level.
The model expects a tight, low-scoring game
Under the hood the model expects 0.97 goals for Amal Tiznit and 0.78 for Ittihad Tanger. Those two numbers, not the scoreline, are what the model actually estimates; everything else is derived from them.
Amal Tiznit rate 0.43 in attack and 1.27 in defence, where 1 is league average and a lower defensive number is better; Ittihad Tanger rate 0.51 and 1.38.
How this was produced
Publicly tracked record so far: 1151 correct results out of 2437 settled predictions (47%), with 230 exact scorelines (9%). That log is updated automatically after every match and is never edited.
Full method: how the model works.
From the first whistle this page keeps going: the win probabilities at the top are recalculated as the match plays out, reading the score, the clock and any sendings-off. The same model, asked how many goals are left rather than how many there will be.
Team comparison
Bars show each side's share of the two-team total, based on the model's attack/defence ratings and expected goals for this fixture.
Why the model favours this side
The model gives Amal Tiznit the highest probability at 36%, based on each side's rolling attack and defence ratings estimated from recent match data. The model projects 0.97 expected goals for Amal Tiznit against 0.78 for Ittihad Tanger. Amal Tiznit's attack/defence rating is 0.43/1.27 versus the league average (1.00 = average), compared with 0.51/1.38 for Ittihad Tanger.