Goal-fests
9/10Daejeon Citizen games went over 2.5 goals in 9 of their last 10 (league 45%).
K-League 1 Predictions & Stats
Free AI predictions for every upcoming K-League 1 match — 1X2, Both Teams to Score, Over/Under goals and Correct Score probabilities.
Predictions updated on 23 October 2026.
K-League 1 Predictions by Market
Season 2026 · Round 33 · Regular Season
Full-Time Result
41%
SUCCESS RATE AVG.
Both Teams To Score
49%
SUCCESS RATE AVG.
Over/Under 2.5 Goals
48%
SUCCESS RATE AVG.
Over/Under 3.5 Goals
71%
SUCCESS RATE AVG.
First Half Result
55%
SUCCESS RATE AVG.
Correct Score
12%
SUCCESS RATE AVG.
K-League 1 2026 prediction accuracy over the last 100 matches: 1X2 41%, BTTS 49%, Over/Under 2.5 48%, Over/Under 3.5 71%, correct score 12%.
K-League 1 stats: goals, BTTS, corners and cards vs other leagues
How this competition ranks among the leagues and cups we cover for goals, chances (xG), corners and cards.
How to read it
last 12 months · 222 matchesrank 1 = highest of 63 competitionsTight and cageyAway days payDraws aplenty
Goals a match
2.45
53rd of 63
xG a match
2.55
53rd of 62
Corners a match
8.76
59th of 62
Cards a match
3.78
48th of 63
Calculated by MyGameOdds · xG: our own model
How it works
We use the league's matches from the last 12 months, without qualifying rounds, and rank it against the 63 leagues and club competitions with 50 or more matches in that time (1 = highest). A label marks a league in the top fifth on goals, home or away wins, draws, cards or corners, or in the bottom fifth on goals. xG is our estimate of each match's chances from its shots.
K-League 1: the stats that stand out
The K-League 1 teams most unusual in their last 10 games.
How to read it
the teamleague averageeach team's last 10 games9/10Shot-shy
6/10Pohang Steelers failed to score in 6 of their last 10 (league 29%).
Leaky
0/10Gwangju kept no clean sheet in their last 10 (league 29%).
Banker as favourites
7/10Seoul won 7 of 10 as favourites (league 43%).
Fast starters
7/10Jeonbuk Motors scored first in 7 of 10 recent matches with goal times (league 44%).
Goals at both ends
7/10Ulsan: both teams scored in 7 of their last 10 (league 53%).
Always chasing
6/10Gangwon conceded first in 6 of 10 recent matches with goal times (league 44%).
Calculated by MyGameOdds
How it works
For each stat we show the club that stands out most, one club per stat. A fact needs at least 6 games and a result far enough from the league average to be unusual (at least one standard deviation).
How we measure →Today's Betting Tips for K-League 1 South Korea
Free predictions for today's K-League 1 matches: 1X2, both teams to score, over/under and correct score.
Sangju Sangmu–
Daejeon Citizen–Winner
X2 69%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Sangju Sangmu–Daejeon Citizen–Winner
X2 69%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 59%
Full Time
131%
X27%
242%
Team Goals Over/Under
| <0.5 | >0.5 | <1.5 | >1.5 | |
|---|---|---|---|---|
 | 32% | 68% | 66% | 34% |
| 24% | 76% | 56% | 44% |
Goals Over/Under
| <2.5 | >2.5 | <3.5 | >3.5 | |
|---|---|---|---|---|
| FT | 46% | 54% | 59% | 41% |
Correct Score
1-1
12.4%
1-2
9.8%
0-1
9.1%
2-1
7.9%
1-0
7.1%
0-0
6.4%
2-2
6.4%
0-2
6.2%
Bucheon 1995–
Gwangju–Winner
1X 69%
BTTS*
Yes 53%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Bucheon 1995–Gwangju–Winner
1X 69%
BTTS*
Yes 53%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 53%
Over/Under 3.5 goals
under 65%
Seoul–
Gangwon–Winner
1 51%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 62%
Seoul–Gangwon–Winner
1 51%
BTTS*
Yes 54%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 51%
Over/Under 3.5 goals
under 62%
Incheon United–
Jeju United–Winner
1X 73%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 54%
Over/Under 3.5 goals
under 66%
Incheon United–Jeju United–Winner
1X 73%
BTTS*
Yes 52%
Correct Score
1-1 13%
Over/Under 2.5 goals
under 54%
Over/Under 3.5 goals
under 66%
Anyang–
Jeonbuk Motors–Winner
2 54%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 62%
Anyang–Jeonbuk Motors–Winner
2 54%
BTTS*
Yes 54%
Correct Score
1-1 11%
Over/Under 2.5 goals
over 52%
Over/Under 3.5 goals
under 62%
Ulsan–
Pohang Steelers–Winner
1 50%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 60%
Ulsan–Pohang Steelers–Winner
1 50%
BTTS*
Yes 57%
Correct Score
1-1 12%
Over/Under 2.5 goals
over 54%
Over/Under 3.5 goals
under 60%
*Probability of each predicted outcome is expressed in percentage (%)
*BTTS - Both teams to score
K-League 1 xG: chances created and allowed
Every K-League 1 team's chances created and allowed a game, measured with our own xG.
How to read it
each logo is a team · tap one for detailseach logo is a team · hover one for detailsK-League 1 average · 1.33 xG, 1.32 xGAlast 10 games eachTap a logo to see the team's numbers
↑ Fewer chances allowed (xGA a game)
More chances created (xG a game) →
Teams by box· 12
Good attack, good defence
Good attack, weak defence
Weak attack, good defence
Weak attack, weak defence
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 →K-League 1 Results vs the Odds
Season 2026 and the last 30 days
How often each result has happened in K-League 1 this season (thick bar) and in the last 30 days (thin bar), next to what the bookmakers’ closing odds expected. The last 30 days cover fewer matches, so their normal range is wider and big swings there are still normal. This is not our prediction accuracy.
How to read it
what the closing odds expectednormal range: chance alone lands here 19 times in 20gap to the odds, in percentage pointsgap outside the normal rangethick bar: Season · thin bar: 30 days
Result · happened
◀ fewer −35◀ fewer than expected · −35 pts odds expected+35 more ▶+35 pts · more than expected ▶
Verdict
Home wins
192 matches
32.3%
Season (192) · 32.3% vs 39.4%Fewer than expected
Season
−7.1
±6.6Fewer than expected
30 days (13) · 61.5% vs 47.7%
30 days
+13.8
±26.1
Draws
192 matches
33.3%
Season (192) · 33.3% vs 27.5%
Season
+5.8
±6.3
30 days (13) · 30.8% vs 25.6%
30 days
+5.2
±23.6
Away wins
192 matches
34.4%
Season (192) · 34.4% vs 33.1%
Season
+1.3
±6.4
30 days (13) · 7.7% vs 26.7%
30 days
−19.0
±23.2
Over 2.5 goals
192 matches
46.4%
Season (192) · 46.4% vs 45.2%
Season
+1.1
±7.0
30 days (13) · 61.5% vs 50.3%
30 days
+11.2
±26.8
Both teams scored
192 matches
53.6%
Season (192) · 53.6% vs 49.3%
Season
+4.4
±7.0
30 days (13) · 61.5% vs 51.2%
30 days
+10.3
±27.0
Show more markets (6)Show fewer markets
Over 3.5 goals
192 matches
24.5%
Season (192) · 24.5% vs 24.0%
Season
+0.5
±6.0
30 days (13) · 30.8% vs 28.8%
30 days
+2.0
±24.2
Home side ahead at half-time
192 matches
18.8%
Season (192) · 18.8% vs 30.2%Fewer than expected
Season
−11.5
±6.4Fewer than expected
30 days (13) · 7.7% vs 36.8%Fewer than expected
30 days
−29.1
±25.8Fewer than expected
Level at half-time
192 matches
51.6%
Season (192) · 51.6% vs 44.0%More than expected
Season
+7.5
±7.0More than expected
30 days (13) · 61.5% vs 41.7%
30 days
+19.8
±26.7
Away side ahead at half-time
192 matches
29.7%
Season (192) · 29.7% vs 25.7%
Season
+4.0
±6.1
30 days (13) · 30.8% vs 21.5%
30 days
+9.3
±21.9
Home team scored 2+
192 matches
34.9%
Season (192) · 34.9% vs 37.6%
Season
−2.7
±6.7
30 days (13) · 69.2% vs 47.2%
30 days
+22.1
±26.4
Away team scored 2+
192 matches
35.4%
Season (192) · 35.4% vs 32.3%
Season
+3.1
±6.5
30 days (13) · 30.8% vs 29.0%
30 days
+1.8
±24.0
Outside the normal range this season: Home wins 32.3% vs 39.4% expected (chance alone: about 1 in 30); Home side ahead at half-time 18.8% vs 30.2% expected (chance alone: 1 in 1,000 or less); Level at half-time 51.6% vs 44.0% expected (chance alone: about 1 in 30).
Shows what happened, not what comes next. Closing odds from one bookmaker per match, bookmaker margin removed. Updated daily.
Show as a tableHide the table
| Result | Period | Matches | Happened | Odds expected | Gap (pts) | Normal range (± pts) | Verdict |
|---|---|---|---|---|---|---|---|
| Home wins | Season | 192 | 32.3% | 39.4% | −7.1 | ±6.6 | Fewer than expected |
| Home wins | 30 days | 13 | 61.5% | 47.7% | +13.8 | ±26.1 | Normal range |
| Draws | Season | 192 | 33.3% | 27.5% | +5.8 | ±6.3 | Normal range |
| Draws | 30 days | 13 | 30.8% | 25.6% | +5.2 | ±23.6 | Normal range |
| Away wins | Season | 192 | 34.4% | 33.1% | +1.3 | ±6.4 | Normal range |
| Away wins | 30 days | 13 | 7.7% | 26.7% | −19.0 | ±23.2 | Normal range |
| Over 2.5 goals | Season | 192 | 46.4% | 45.2% | +1.1 | ±7.0 | Normal range |
| Over 2.5 goals | 30 days | 13 | 61.5% | 50.3% | +11.2 | ±26.8 | Normal range |
| Both teams scored | Season | 192 | 53.6% | 49.3% | +4.4 | ±7.0 | Normal range |
| Both teams scored | 30 days | 13 | 61.5% | 51.2% | +10.3 | ±27.0 | Normal range |
| Over 3.5 goals | Season | 192 | 24.5% | 24.0% | +0.5 | ±6.0 | Normal range |
| Over 3.5 goals | 30 days | 13 | 30.8% | 28.8% | +2.0 | ±24.2 | Normal range |
| Home side ahead at half-time | Season | 192 | 18.8% | 30.2% | −11.5 | ±6.4 | Fewer than expected |
| Home side ahead at half-time | 30 days | 13 | 7.7% | 36.8% | −29.1 | ±25.8 | Fewer than expected |
| Level at half-time | Season | 192 | 51.6% | 44.0% | +7.5 | ±7.0 | More than expected |
| Level at half-time | 30 days | 13 | 61.5% | 41.7% | +19.8 | ±26.7 | Normal range |
| Away side ahead at half-time | Season | 192 | 29.7% | 25.7% | +4.0 | ±6.1 | Normal range |
| Away side ahead at half-time | 30 days | 13 | 30.8% | 21.5% | +9.3 | ±21.9 | Normal range |
| Home team scored 2+ | Season | 192 | 34.9% | 37.6% | −2.7 | ±6.7 | Normal range |
| Home team scored 2+ | 30 days | 13 | 69.2% | 47.2% | +22.1 | ±26.4 | Normal range |
| Away team scored 2+ | Season | 192 | 35.4% | 32.3% | +3.1 | ±6.5 | Normal range |
| Away team scored 2+ | 30 days | 13 | 30.8% | 29.0% | +1.8 | ±24.0 | Normal range |
K-League 1 luck check: the last 10 games
K-League 1 teams taking more or fewer points than their chances usually bring, measured with our own xG.
How to read it
what their chances usually bringnormal range (±4)outside it−4.7 = 5 points fewer than their chances usually bringUnlucky1
- GangwonWasteful · −3 goals−4.7
Points in line, but wasteful: Sangju Sangmu (−3 goals). Clinical: Daejeon Citizen (+8), Seoul (+4, 9 games).
In line with their chances: Pohang Steelers, Jeju United, Anyang, Ulsan, Incheon United, Bucheon 1995, Jeonbuk Motors and Gwangju.
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.
How we measure →K-League 1 last week: smash-and-grab wins and upsets
Smash-and-grab wins (the side with clearly fewer chances won) and upsets (results the closing odds gave under 20%) from the last 7 days.
How to read it
Oct 16–Oct 23 · 6 matches · odds: closing, margin removedCalculated by MyGameOdds · xG: our own model
How it works
Smash-and-grab: the winner had at least 0.8 less xG than the loser (our xG, from shots). Upset: the result the closing odds gave under 20%, with the bookmaker margin removed. Across our leagues about 6% of matches are smash-and-grab wins and about 5% are upsets.
How we measure →K-League 1 Standings
Check the current league table, team positions, points, and form. Click to view complete standings with detailed statistics.
#TEAM | MP | PTS | W | D | L | G | GD | FORM |
|---|---|---|---|---|---|---|---|---|
1  Seoul | 32 | 66 | 20 | 6 | 6 | 60:28 | +32 | D W L W L |
2  Ulsan | 32 | 50 | 15 | 5 | 12 | 50:45 | +5 | W L L W W |
3  Jeonbuk Motors | 32 | 47 | 12 | 11 | 9 | 42:32 | +10 | W L D L D |
4  Gangwon | 32 | 47 | 11 | 14 | 7 | 39:29 | +10 | D W D L D |
5  Daejeon Citizen | 32 | 46 | 12 | 10 | 10 | 51:40 | +11 | W W D D W |
Championship Round
Relegation Round
MP=Matches Played
PTS=Points
W=Wins
D=Draws
L=Losses
G=Goals (For:Against)
GD=Goal Difference
FORM=Last 5 Matches
The league profile compares K-League 1 with the 63 leagues and cups we rank over the last 12 months (rank 1 = highest). The stats that stand out pick the most unusual numbers from each team's last 10 games. The attack vs defence chart puts each team in one of four boxes: top right creates more and allows fewer chances than the league average. The luck check shows who got more or fewer points than their chances in the last 10 games, and Last week lists wins with fewer chances and results the bookmakers gave under 20%.
These statistics represent prediction accuracy based on the last 100 matches in the league. Accuracy reflects how often the model correctly predicted the outcome for each market. Our football predictions are generated using advanced AI techniques combined with historical match data, team form, player availability and head-to-head records to deliver reliable forecasts. Explore our prediction results tracker for live accuracy across all completed matches, our league accuracy data for competition-level breakdowns, or prediction performance for team-level insights.
About K-League 1
The K League 1 is the top professional football league in South Korea. It consists of 12 teams and operates on a system of promotion and relegation. The K League 1 is known for its technical quality and disciplined play. Jeonbuk Hyundai Motors and FC Seoul are the most successful clubs in K League 1 history.