Leaky
2/10Zorya kept only 2 clean sheets in their last 10 (league 35%).
Zorya Luhansk vs Chornomorets Prediction, Stats & Betting Tips
Premier League - Season 2026/2027 (Round 9)
Leaky
Zorya kept only 2 clean sheets in their last 10 (league 35%).
2/10Clean sheets · Zorya
Bookmakers: Zorya 60% to winChornomorets 16%
Zorya vs Chornomorets 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.
Zorya expected to create clearly more
2.4 goals in total, a little under the Premier League average of 2.5.
goals expected
Zorya1.5
Chornomorets0.9Calculated 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 Zorya vs Chornomorets: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Zorya vs Chornomorets — 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
Zorya to win
Our model 36%Bookmakers 60%
Our track record
In 2,079 matches over the last 12 months where our model gave the same pick a 35–40% chance and the bookmakers agreed, it came true 43.6% of the time (bookmakers said 43.9%).
Both Teams to Score →Agrees with bookmakers
Our model’s pick
No, not both
Our model 51%Bookmakers 53%
Our track record
In 6,406 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 55.3% of the time (bookmakers said 55.0%).
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Under 2.5 goals
Our model 57%Bookmakers 52%
Our track record
In 5,248 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 58.6% of the time (bookmakers said 59.1%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 78%Bookmakers 74%
Our track record
In 3,645 matches over the last 12 months where our model gave the same pick a 75–80% chance and the bookmakers agreed, it came true 76.0% of the time (bookmakers said 76.3%).
First Half Result →Disagrees with bookmakers
Our model’s pick
Draw at half-time
Our model 45%Bookmakers 41%
Our track record
In 2,179 matches over the last 12 months where our model gave the same pick a 40–45% chance but the bookmakers favoured a different outcome, it came true 36.9% of the time: closer to the bookmakers’ 37.4% than to our 40–45%.
Zorya Goals →Disagrees with bookmakers
Our model’s pick
Zorya 0–1 goals
Our model 67%Bookmakers 48%
Our track record
In 76 matches over the last 12 months where our model gave the same pick a 65–70% chance but the bookmakers favoured a different outcome, it came true 51.3% of the time: closer to the bookmakers’ 45.1% than to our 65–70%.
Chornomorets Goals →Agrees with bookmakers
Our model’s pick
Chornomorets 0–1 goals
Our model 69%Bookmakers 81%
Our track record
In 3,228 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 68.2% of the time (bookmakers said 67.8%).
Odds can still move before kick-off. The track record uses closing odds.
Zorya vs Chornomorets — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Zorya vs Chornomorets. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Zorya–
Chornomorets–Winner
12 71%
BTTS*
No 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 57%
Over/Under 3.5 goals
under 68%
Zorya–Chornomorets–Winner
12 71%
BTTS*
No 51%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 57%
Over/Under 3.5 goals
under 68%
Full Time
136%
X29%
235%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 32% | 68% | 57% | 43% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 68% | 32% | 89% | 11% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 33% | 67% | 67% | 33% |
| 34% | 66% | 69% | 31% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 88% | 13% | 96% | 4% |
| 89% | 11% | 97% | 3% |
1st Half
130%
X44%
225%
1st Score
145%
X11%
244%
Half Time/Full Time
1-1
22%
X-X
20%
2-2
17%
X-2
14%
X-1
13%
1-X
5%
2-X
5%
1-2
2%
2-1
2%
Correct Score
1-1
13.0%
0-1
11.0%
0-0
10.7%
1-0
10.5%
1-2
8.0%
2-1
7.7%
2-0
6.3%
0-2
5.7%
2-2
4.6%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Zorya vs Chornomorets: 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%Zorya: leaky
2/10Calculated 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 →Zorya vs Chornomorets: 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) →
- Zorya: weak attack, weak defence (0.92 xG, 1.37 xGA a game)
- Chornomorets: weak attack, weak defence (0.69 xG, 1.37 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 →Zorya vs Chornomorets 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
- ZoryaBookmakers: 60% to win today. · 8 of 10 games+3.4
- ChornomoretsBookmakers: 16% to win today. · 7 of 10 games+0.3
Last 5 matches
ZoryaW
L
D
D
L
ChornomoretsL
D
L
D
W
W
D
L
Strength rank: Zorya 11th of 16 · Chornomorets 14th 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 →Zorya vs Chornomorets: 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 averageup to 10 recent Premier League gamesBTTS = both teams scoredChornomorets games go over 2.5 goals less often than the Premier League average (48%), Zorya games more often.
Over 2.5 goalsleague 48%
Zorya5 of 10
Chornomorets2 of 7
BTTSleague 42%
Zorya6 of 10
Chornomorets3 of 7
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 235 games played here in the last 12 months.
How we measure →Zorya vs Chornomorets 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 gameChornomorets: last 7 with these statsGoal times close to the Premier League average
Zorya
Chornomorets
4.2
Corners won · league 4.7
2.7
5.1
Corners conceded · league 4.7
5.3
2.3
Cards · league 2.0
1.9
1.8
Opponents' cards · league 2.0
1.9
42%
Goals before half-time · league 43%
50%
17%
Goals after 75' · league 21%
25%
31%
Conceded before half-time · league 43%
56%
23%
Conceded after 75' · league 21%
11%
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
Chornomorets2/5
Zorya2/5
Both Teams to Score
Chornomorets2/5
Zorya3/5
Over/Under 2.5 Goals
Chornomorets3/5
Zorya1/5
Over/Under 3.5 Goals
Chornomorets5/5
Zorya4/5
First Half Result
Chornomorets3/5
Zorya1/5
Correct Score
Chornomorets1/5
Zorya2/5
correct predictionwrong prediction