Canada won 3 of the last 5LWWDW2–0Peru won 0 of the last 5LLDLL
Match statistics
Full-time statistics
Canada
Peru
17
Shots
4
3
Shots on target
0
6
Corners
5
27
Fouls
13
1
Yellow cards
2
—
Red cards
—
1
Offsides
3
497
Passes
320
61%
Possession %
39%
—
xG
—
51%
24%
25%
1 · CanadaXPeru · 2
Over 1.5
81%
Over 2.5
58%
Over 3.5
36%
Both score
60%
Model pick
Canada 51%
Likely score
1-1 11%
Expected goals
1.81 – 1.22
Advised bets
No advised bet on this fixture. The available prices are close enough to our own numbers that there is nothing worth backing. Most fixtures end up here, and manufacturing a selection for every game is exactly how tipster records get destroyed.
Our probabilities against the market
Our probability and fair price for every market we publish, next to the best price we last captured and the probability it implies (bookmaker margin included).
Market
Selection
Ours
Fair
Best price
Implied
Gap
Match result
Canada
50.6%
1.98
1.57 Betano
63.7%
-13.1
Match result
Draw
24.3%
4.11
4.20 Bet365
23.8%
+0.5
Match result
Peru
25.0%
4.00
6.00 Betfair
16.7%
+8.4
Total goals
Over 1.5
81.1%
1.23
1.32 Betano
75.8%
+5.4
Total goals
Under 1.5
18.9%
5.30
3.60 Betfair
27.8%
-8.9
Total goals
Over 2.5
58.3%
1.72
2.00 Betfair
50.0%
+8.3
Total goals
Under 2.5
41.7%
2.40
1.87 Betano
53.5%
-11.8
Total goals
Over 3.5
35.9%
2.79
3.40 Bet365
29.4%
+6.5
Total goals
Under 3.5
64.1%
1.56
1.33 Betano
75.2%
-11.1
Both teams to score
Both teams to score — Yes
59.5%
1.68
2.10 Bet365
47.6%
+11.9
Both teams to score
Both teams to score — No
40.5%
2.47
1.83 William Hill
54.6%
-14.2
A positive gap means our probability is higher than the price implies. That is information, not a recommendation: a pick is only published where the gap clears our bar after allowing for model error, and those appear above.
Canada favoured against Peru
Our model makes Canada 51% to win this Friendlies fixture, with the draw at 24% and Peru at 25%. The goal projection is 1.81 for Canada against 1.22 for Peru — a substantial edge to Canada on expected output. A combined 3.03 goals points to an open game around the league average, which puts over 2.5 at 58% and both teams to score at 59%. The single most likely scoreline is 1-1 at 11%, though no individual scoreline is ever likely in absolute terms — that is the nature of a low-scoring sport. This sits in the awkward middle of the distribution, where the model has a view but not a strong one. All figures come from a Dixon–Coles adjusted Poisson model fitted on recent results and expected goals. They are estimates, not forecasts of fact.
Most likely scores
1-1 11%
2-1 10%
1-0 8%
2-0 8%
1-2 6%
This season
Season records for Canada and Peru
Canada
Peru
8
Played
8
4-3-1
W-D-L
1-2-5
1.88
Pts / game
0.63
1.13
Goals for / game
0.88
0.50
Goals against / game
2.13
13%
Over 2.5
50%
25%
BTTS
63%
63%
Clean sheets
0%
25%
Failed to score
38%
4-3-0
Home record
0-1-1
0-0-1
Away record
1-1-4
L1
Streak
L2
2026 league matches only, computed from results on record. Canada · Peru
Full-match statistics, per game this season
Produced
Season per-match averages, produced
9.7
Shots
3.3
3.0
Shots on target
1.0
5.3
Corners
3.0
1.00
Cards
3.33
18.0
Fouls
10.8
54
Possession %
34
—
xG
—
3 matches
sample
4 matches
Conceded
Season per-match averages, conceded
4.0
Shots
9.3
1.0
Shots on target
3.3
3.7
Corners
4.7
2.67
Cards
1.00
14.7
Fouls
13.5
46
Possession %
67
—
xG
—
3 matches
sample
4 matches
Form comparison
Per-match averages over the last 5 matches (5 in sample), captured when this prediction was published and never recomputed since.
Canada
Metric
Peru
1.80 (better)
Goals scored
1.20
1.00 (better)
Goals conceded
2.40
2.11
Expected goals (xG)
—
—
Big chances *
—
6.00 (better)
Shots on target
2.75
14.40 (better)
Total shots
7.50
—
Touches in opp. box *
—
8.60 (better)
Corners
4.00
52.8 (better)
Possession %
45.8
369
Passes
402 (better)
—
Tackles
—
13.60 (better)
Fouls
14.25
1.20 (better)
Offsides
1.50
—
Throw-ins *
—
1.80 (better)
Yellow cards
3.00
0.00
Red cards
—
* Big chances, Touches in opp. box, Throw-ins are not supplied by our current data provider (api-football). Rather than estimate them and present the estimate as a measurement, we show nothing.
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