Always on the scoresheet
0/10Polessya scored in all of their last 10 (league 35% fail to score).
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Polissya Zhytomyr vs Veres Prediction, Stats & Betting Tips
Premier League - Season 2026/2027 (Round 12)
Clinical
Polessya are scoring more goals than their chances (xG) usually bring
+3goals more than their chances (xG) in their last 7 with xG
80% of teams scoring this many more goals than their chances scored fewer in their next 10 games.
Bookmakers: Polessya 79% to winVeres 5%
Polessya vs Veres score prediction
Premier League
The goals we expect each side to score, not an exact score: built from both teams' chances, the bookmakers' view and real goals here.
Polessya expected to score more than twice as many as Veres
2.6 goals in total, a little over the Premier League average of 2.5.
goals expected
Polessya2.0
Veres0.6Calculated by MyGameOdds · xG: our own model
How it works
We look at how many chances each team has created and allowed in its recent games in this league, what the bookmakers expected from those games, and the goals actually scored. Then we compare that with how many goals home and away teams usually score here.
Does it work? Since July 2025, our numbers have been 7% closer to the real goals than just using the league average.
How we measure →Get our AI football prediction and stats for Polessya vs Veres: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Polessya vs Veres — Our Model vs the Bookmakers
Market check · Premier League
For each market: our model’s probability for this match, the bookmakers’ probability from the current odds (margin removed), whether the two agree, and how often our predictions like this one came true over the last 12 months. When they disagree, the bookmakers’ number has usually been the better guide.
How to read it
our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Agrees with bookmakers
Our model’s pick
Polessya to win
Our model 76%Bookmakers 79%
Our track record
In 137 matches over the last 12 months where our model gave the same pick a 75–80% chance and the bookmakers agreed, it came true 84.7% of the time (bookmakers said 80.8%).
Both Teams to Score →Agrees with bookmakers
Our model’s pick
No, not both
Our model 59%Bookmakers 61%
Our track record
In 5,747 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 56.9% of the time (bookmakers said 57.8%).
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Over 2.5 goals
Our model 52%Bookmakers 56%
Our track record
In 5,168 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 57.1% of the time (bookmakers said 56.5%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 70%Bookmakers 66%
Our track record
In 4,585 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 72.2% of the time (bookmakers said 71.4%).
First Half Result →Agrees with bookmakers
Our model’s pick
Polessya ahead at half-time
Our model 55%Bookmakers 57%
Our track record
In 301 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 60.1% of the time (bookmakers said 57.7%).
Polessya Goals →Agrees with bookmakers
Our model’s pick
Polessya 2+ goals
Our model 65%Bookmakers 71%
Our track record
In 2,665 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 69.3% of the time (bookmakers said 67.6%).
Veres Goals →Agrees with bookmakers
Our model’s pick
Veres 0–1 goals
Our model 91%Bookmakers 90%
Our track record
In 124 matches over the last 12 months where our model gave the same pick a 90–95% chance and the bookmakers agreed, it came true 86.3% of the time (bookmakers said 88.6%).
Odds can still move before kick-off. The track record uses closing odds.
Polessya vs Veres — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Polessya vs Veres. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Polessya–
Veres–Winner
1 75%
BTTS*
No 59%
Correct Score
2-0 16%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Polessya–Veres–Winner
1 75%
BTTS*
No 59%
Correct Score
2-0 16%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 60%
Full Time
175%
X17%
27%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 23% | 77% | 48% | 52% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 60% | 40% | 79% | 21% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 11% | 89% | 35% | 65% |
| 63% | 37% | 91% | 9% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 63% | 37% | 83% | 17% |
| 99% | 1% | 100% | 0% |
1st Half
155%
X34%
211%
1st Score
175%
X6%
219%
Half Time/Full Time
1-1
50%
X-1
21%
X-X
11%
1-X
4%
2-2
4%
X-2
3%
2-1
3%
2-X
3%
1-2
1%
Correct Score
2-0
15.7%
1-0
13.8%
3-0
10.5%
2-1
9.8%
1-1
8.3%
3-1
6.2%
0-0
5.9%
0-1
3.4%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Polessya vs Veres: the stats that stand out
Premier League
Where each side is most unusual compared with the rest of the league: clean sheets, scoring first, wins as favourites and more.
How to read it
the teamleague averageshare of games, 0 to 100%Polessya: always on the scoresheet, fast starters and banker as favourites
0/10Fast starters
8/10Polessya scored first in 8 of their last 10 (league 44%).
Banker as favourites
7/9Polessya won 7 of 9 as favourites (league 56%).
Calculated by MyGameOdds
How it works
We compare each team's last 10 games in this competition with how often the same thing happens across the whole league (last 12 months). A fact only shows when the team is noticeably different from a typical team. For example, if teams here score first in half their games, a team needs 7 or more out of 10 (or 3 or fewer). We show up to three facts, the most unusual first, never two about the same thing. They describe what happened, not a forecast.
How we measure →Polessya vs Veres: attack vs defence
Premier League
Both sides' chances created and allowed a game, next to the rest of the league, measured with our own xG.
How to read it
other Premier League teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- Polessya: good attack, good defence (1.70 xG, 0.63 xGA a game)
- Veres: weak attack, weak defence (0.91 xG, 1.33 xGA)
Calculated by MyGameOdds · xG: our own model
How it works
xG is our estimate of how many goals a team's chances were worth, from the shots in each match; xGA is the same for the chances it allowed. The dashed lines are the average of the teams shown. A team close to a line is about average. Teams with fewer than 5 games here aren't in the chart yet.
How we measure →Polessya vs Veres form and luck check
Premier League
Whether each side is taking more or fewer points than its chances usually bring.
How to read it
what their chances usually bringoutside the normal range (±4)last 10 Premier League gamesBoth results in line with their chances
- PolessyaBookmakers: 79% to win today. · 7 of 10 gamesClinical · +3 goals+2.2
- VeresBookmakers: 5% to win today. · 9 of 10 games−0.5
Last 5 matches
PolessyaW
W
D
W
W
VeresL
L
L
L
W
W
D
L
Strength rank: Polessya 3rd of 16 · Veres 13th of 16
Calculated by MyGameOdds · xG: our own model
How it works
For each of a team's last 10 games, we work out how many points a team usually gets from a game with those chances (xG) for and against, add them up and compare with the points it actually got. We do the same for goals. Strong teams often get a bit more than their chances suggest, so we compare each team with sides of similar strength in this league. That way nobody is flagged just for being good.
We flag a team when the gap is 4 points or more (or 3 goals or more). If some games have no xG data, we use the ones that do.
Does it mean anything? 85% of teams 4+ points ahead of their chances got fewer points in their next 10 games, and 83% of teams 4+ points behind got more. Bookmakers already expect these gaps to even out, so it's a fan's read, not a betting edge.
Strength rank: we rank this season's 16 teams by how much better their attack is than their defence, using chances (xG), the odds and goals. Does it work? Over the first half of a season, this rank predicted the second half better than the league table did.
How we measure →Polessya vs Veres: Over 2.5 & BTTS?
Premier League
How often each side's recent league games had over 2.5 goals and both teams scoring.
How to read it
a game where it happenedleague averagelast 10 Premier League gamesBTTS = both teams scoredPolessya games go over 2.5 goals more often than the Premier League average (49%), Veres games less often.
Over 2.5 goalsleague 49%
Polessya7 of 10
Veres4 of 10
BTTSleague 42%
Polessya6 of 10
Veres5 of 10
Calculated by MyGameOdds
How it works
For each team we take its last 10 games in this competition from the past 12 months (fewer if it hasn't played 10) and count how many went over 2.5 goals and how many had both teams scoring. The league figure uses all 233 games played here in the last 12 months.
How we measure →Polessya vs Veres corners, cards and goal times
Premier League
Each side's corners and cards a game, and when it scores and concedes, from its recent league games.
How to read it
league averagelast 10 in the league · corners and cards per game- Corners won: league 4.7
- Cards: league 2.0
- Goals before half-time: league 44%
- Goals after 75': league 21%
Calculated by MyGameOdds
How it works
We use each team's last 10 games here. Corners and cards only count games where those stats were recorded, and goal times only count games with reliable goal minutes, so some teams have fewer than 10. We compare with the whole league over the last 12 months.
How we measure →Our prediction record
Our last 5 predictions in each team’s matches, by market.
Full-Time Result
Veres4/5
Polessya4/5
Both Teams to Score
Veres3/5
Polessya4/5
Over/Under 2.5 Goals
Veres3/5
Polessya3/5
Over/Under 3.5 Goals
Veres4/5
Polessya2/5
First Half Result
Veres1/5
Polessya5/5
Correct Score
Veres0/5
Polessya1/5
correct predictionwrong prediction