Flop as favourites
0/6Lokomotiv Moskva won none of 6 as favourites (league 53%).
Fakel vs Lokomotiv Moskva Prediction, Stats & Betting Tips
Premier League - Season 2026/2027 (Round 10)
Flop as favourites
Lokomotiv Moskva won none of 6 as favourites (league 53%).
0/6Wins as favourite · Lokomotiv Moskva
Bookmakers: Lokomotiv Moskva 38% to winFakel 33%
Fakel vs Lokomotiv Moskva 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.
Evenly matched in front of goal
2.4 goals in total, a little under the Premier League average of 2.5.
goals expected
Fakel1.1Lokomotiv Moskva1.3Calculated 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 Fakel vs Lokomotiv Moskva: our model’s probabilities next to the bookmakers’ odds in each market, how often similar predictions came true, and both teams’ recent form.
Fakel vs Lokomotiv Moskva — 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
Lokomotiv Moskva to win
Our model 45%Bookmakers 38%
Our track record
In 3,483 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 46.7% of the time (bookmakers said 46.9%).
Both Teams to Score →Disagrees with bookmakers
Our model’s pick
No, not both
Our model 54%Bookmakers 49%
Our track record
In 3,039 matches over the last 12 months where our model gave the same pick a 50–55% chance but the bookmakers favoured a different outcome, it came true 46.5% of the time: closer to the bookmakers’ 46.4% than to our 50–55%.
Over/Under 2.5 Goals →Agrees with bookmakers
Our model’s pick
Under 2.5 goals
Our model 60%Bookmakers 56%
Our track record
In 3,008 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 61.6% of the time (bookmakers said 62.5%).
Over/Under 3.5 Goals →Agrees with bookmakers
Our model’s pick
Under 3.5 goals
Our model 81%Bookmakers 78%
Our track record
In 1,740 matches over the last 12 months where our model gave the same pick a 80–85% chance and the bookmakers agreed, it came true 80.5% of the time (bookmakers said 81.3%).
First Half Result →Agrees with bookmakers
Our model’s pick
Draw at half-time
Our model 46%Bookmakers 47%
Our track record
In 4,145 matches over the last 12 months where our model gave the same pick a 45–50% chance and the bookmakers agreed, it came true 47.8% of the time (bookmakers said 47.3%).
Fakel Goals →Agrees with bookmakers
Our model’s pick
Fakel 0–1 goals
Our model 76%Bookmakers 66%
Our track record
In 825 matches over the last 12 months where our model gave the same pick a 75–80% chance and the bookmakers agreed, it came true 74.2% of the time (bookmakers said 76.7%).
Lokomotiv Moskva Goals →Agrees with bookmakers
Our model’s pick
Lokomotiv Moskva 0–1 goals
Our model 63%Bookmakers 63%
Our track record
In 2,605 matches over the last 12 months where our model gave the same pick a 60–65% chance and the bookmakers agreed, it came true 63.0% of the time (bookmakers said 63.8%).
Odds can still move before kick-off. The track record uses closing odds.
Fakel vs Lokomotiv Moskva — AI Prediction & Probabilities by Market
Below are our AI-generated match predictions for Fakel vs Lokomotiv Moskva. Each market shows the probability of each outcome based on our model's analysis of team form, historical data and current season performance.
Fakel–
Lokomotiv Moskva–Winner
X2 73%
BTTS*
No 54%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 60%
Over/Under 3.5 goals
under 71%
Fakel–Lokomotiv Moskva–Winner
X2 73%
BTTS*
No 54%
Correct Score
0-1 13%
Over/Under 2.5 goals
under 60%
Over/Under 3.5 goals
under 71%
Full Time
127%
X29%
245%
Goals Over/Under
| <1.5 | >1.5 | <2.5 | >2.5 | |
|---|---|---|---|---|
| FT | 34% | 66% | 60% | 40% |
| <3.5 | >3.5 | <4.5 | >4.5 | |
|---|---|---|---|---|
| FT | 71% | 29% | 90% | 10% |
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
| 41% | 59% | 76% | 24% |
| 28% | 72% | 63% | 37% |
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| 93% | 7% | 98% | 2% |
| 86% | 14% | 95% | 5% |
1st Half
123%
X46%
231%
1st Score
141%
X11%
248%
Half Time/Full Time
2-2
23%
X-X
18%
1-1
16%
X-2
16%
X-1
11%
1-X
6%
2-X
5%
1-2
3%
2-1
2%
Correct Score
0-1
13.4%
1-1
13.1%
0-0
10.8%
1-0
9.6%
1-2
8.8%
0-2
8.7%
2-1
6.2%
2-0
4.6%
2-2
4.2%
0-3
3.9%
1-3
3.6%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
Fakel vs Lokomotiv Moskva: 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%Lokomotiv Moskva: flop as favourites and hard to break · Fakel: shot-shy
0/6Shot-shy
5/9Fakel failed to score in 5 of their last 9 (league 26%).
Hard to break
2/10Lokomotiv Moskva conceded first in only 2 of their last 10 (league 46%).
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 →Fakel vs Lokomotiv Moskva: attack vs defence
Premier League
How to read it
other Premier League teamsleague averagelast 10 games↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
- Fakel: weak attack, weak defence (0.87 xG, 1.61 xGA a game)
- Lokomotiv Moskva: weak attack, weak defence (1.20 xG, 1.73 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 →Fakel vs Lokomotiv Moskva 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
- FakelBookmakers: 33% to win today. · 9 of 10 games−3.8
- Lokomotiv MoskvaBookmakers: 38% to win today.−3.6
Last 5 matches
Lokomotiv MoskvaD
L
W
L
L
FakelL
D
L
L
D
W
D
L
Strength rank: Fakel 14th of 16 · Lokomotiv Moskva 7th 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 →Fakel vs Lokomotiv Moskva: Over 2.5 & BTTS?
Premier League
How to read it
a game where it happenedleague averageup to 10 recent Premier League gamesBTTS = both teams scoredBoth teams score in Lokomotiv Moskva games more often than the Premier League average (55%), in Fakel games less often.
Over 2.5 goalsleague 48%
Fakel4 of 9
Lokomotiv Moskva4 of 10
BTTSleague 55%
Fakel4 of 9
Lokomotiv Moskva7 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 224 games played here in the last 12 months.
How we measure →Fakel vs Lokomotiv Moskva corners, cards and goal times
Premier League
How to read it
league averagelast 10 in the league · corners and cards per gameFakel: last 9 with these statsLokomotiv Moskva score early, Fakel late
Fakel
Lokomotiv Moskva
4.3
Corners won · league 4.6
3.3
5.2
Corners conceded · league 4.6
3.9
1.8
Cards · league 2.3
2.6
1.9
Opponents' cards · league 2.3
1.3
33%
Goals before half-time · league 45%
56%
50%
Goals after 75' · league 23%
11%
23%
Conceded before half-time · league 45%
14%
31%
Conceded after 75' · league 23%
14%
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
Lokomotiv Moskva2/5
Fakel3/5
Both Teams to Score
Lokomotiv Moskva4/5
Fakel2/5
Over/Under 2.5 Goals
Lokomotiv Moskva5/5
Fakel3/5
Over/Under 3.5 Goals
Lokomotiv Moskva4/5
Fakel3/5
First Half Result
Lokomotiv Moskva4/5
Fakel3/5
Correct Score
Lokomotiv Moskva0/5
Fakel2/5
correct predictionwrong prediction