· CONCACAF Nations League
Dominica
ATT
5/10
DEF
5/10
1:5
Guyana
5/10
ATT
6/10
DEF
Full-time
Best Pick
BTTS
62%
Correct Score47′
Top
1-1
10.7%
13.00
Top
2-1
9.1%
34.00
1-0
7.6%
26.00
1-2
7.5%
10.00
2-0
6.5%
51.00
2-2
6.4%
34.00
0-1
6.2%
7.00
3-1
5.2%
101.00
145%
2.23TOP
X24%
4.25
232%
3.17
1X69%
X256%
1277%
xG — Expected Goals
Dominica
Dominica exp
Guyana
Guyana exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Dominica
Guyana
Confirmed XI5-3-2
1
Newton
13
Bredas
2
Jnohope
3
Jr
5
Johnville
16
Sandy
11
Anselm
20
Edwards
9
George
23
Laville
14
Cuffy
Impact Player Hot Head
Dominica10 players
47.2/ 99Average
Top Rated
1Audel LavilleFWD59
2Tobi JnohopeDEF54
3Savio AnselmMID54
Guyana13 players
50.4/ 99Average
Top Rated
1Nathan Moriah-Welsh MID63
2Elliot BondsMID60
3Darron NilesMID59
Player Rankings
Snipers
Top goal threats
1
Osaze De RosarioGuyana
60
2
Troy JulesDominica
50
3
Audel LavilleDominica
48
4
Reon CuffyDominica
45
5
Enoch GeorgeGuyana
45
Wall
Top defenders
1
Tobi JnohopeDominica
56
2
Jalen JonesGuyana
55
3
Eustace MarshallDominica
52
4
T. VancootenGuyana
48
5
Liam GordonGuyana
45
Control
Top playmakers
1
Omari GlasgowGuyana
73
2
Nathan Moriah-Welsh Guyana
60
3
Savio AnselmDominica
56
4
Briel ThomasDominica
51
5
Javid GeorgeDominica
49
Bad Boys
Most likely to get booked
1
Briel ThomasDominica
1
2
Bryan WhartonGuyana
7
3
Omari GlasgowGuyana
7
4
Eustace MarshallDominica
23
5
Osaze De RosarioGuyana
28
Power Rankings
Strongest overall
1
Nathan Moriah-Welsh Guyana
63
2
Elliot BondsGuyana
60
3
Audel LavilleDominica
59
4
Darron NilesGuyana
59
5
Nathan FergusonGuyana
58

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Dominica vs Guyana based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the Dominica vs Guyana match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If Dominica has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for Dominica vs Guyana without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Dominica a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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