Rangers
Rangers are 2nd in the Premiership after 8 matches in the 2026/2027 season. They have won 6 matches, scored 11 goals and conceded 5.
They average 1.38 goals per match and have kept a clean sheet in 50% of their league matches.
- Competition
- Premiership (Scotland)
- Season
- 2026/2027
- Position
- 2 of 12Based on completed matches
- Team Strength
- 72.5FootyCabin rating, 0–100
- Founded
- 1873
- Form
- Win
- Win
- Win
- Win
- Win
- Win
Team intelligence
What stands out
- High Volume / Low ConversionMore shots than the league average, but a lower scoring rate.
- Possession & TerritoryMore possession and more corners than most teams in the league.
- Clean sheetsClean sheet in 50% of league matches.
Season summary
Calculated from completed matches only. Scheduled matches are never counted.
- Matches played
- 8
- Wins
- 6
- Draws
- 1
- Losses
- 1
- Goals scored
- 11
- Goals conceded
- 5
- Goal difference
- +6
- Points
- 19
2.38 per match
Efficiency Rates
Success rates for passing, shooting, dribbling, duels and defending.
| Statistic | Rate |
|---|---|
| Pass accuracy | 73.2% |
| Shots on target rate | 29.9% |
| Dribble success | 48.9% |
| Duel win rate | 59.6% |
| Aerial win rate | 66.8% |
| Tackle success | 60.6% |
0–100% scale
Team performance
Team totals built from recorded player statistics in 8 completed matches.
| Statistic | Total | Per match | Matches with data |
|---|---|---|---|
| Shots | 117 | 14.63 | 8 |
| Shots on target | 35 | 5.00 | 7 |
| Passes | 2,788 | 348.50 | 8 |
| Accurate passes | 2,042 | 255.25 | 8 |
| Passes into the final third | 314 | 39.25 | 8 |
| Key passes | 82 | 10.25 | 8 |
| Chances created | 83 | 10.38 | 8 |
| Successful dribbles | 46 | 5.75 | 8 |
| Tackles | 109 | 13.63 | 8 |
| Interceptions | 55 | 6.88 | 8 |
| Clearances | 145 | 18.13 | 8 |
| Ball recoveries | 250 | 31.25 | 8 |
| Duels | 659 | 82.38 | 8 |
| Duels won | 393 | 49.13 | 8 |
| Aerial duels | 199 | 24.88 | 8 |
| Aerial duels won | 133 | 16.63 | 8 |
| Goalkeeper saves | 14 | 2.80 | 5 |
These are calculated from player data rather than official team totals. A dash or "not available" means no value was recorded. It never means zero.
How this team plays
See how this team's playing style compares with the rest of the league. Higher scores mean the team shows more of that style, not that it is better.
Team style
Possession & Creation
Keeps the ball more than most league teams and turns that possession into chances.
Style summary: Possession & Attack. A descriptive summary of the profile below, not a rating.
- Possession79
Possession is above the league average. (54.6%, 8 fixtures)
- Attacking output88
Attacking output is well above the league average. (20.13 per match, 8 fixtures)
- Chance creation88
Chance creation is well above the league average. (14.63 per match, 8 fixtures)
- Defensive activity79
Defensive activity is above the league average. (76.88 per match, 8 fixtures)
- Ball security71
Ball security is above the league average. (81.3%, 8 fixtures)
Scores run from 0 to 100 and compare this team with the 12 teams in the same league and season. Higher means more of that characteristic, not better.
Style context
Shows how this team's playing-style characteristics relate to league performance patterns this season.
This is descriptive context, not evidence that a playing style causes better or worse results.
- Attacking outputTeam score: 88High-attacking output teams: 1.97 points / matchLow-attacking output teams: 0.92 points / match
This team is in the league's high-attacking output group.
High-attacking output teams average 1.05 more points per match than low-attacking output teams.
- Chance creationTeam score: 88High-chance creation teams: 2.10 points / matchLow-chance creation teams: 1.14 points / match
This team is in the league's high-chance creation group.
High-chance creation teams average 0.96 more points per match than low-chance creation teams.
- PossessionTeam score: 79High-possession teams: 2.00 points / matchLow-possession teams: 1.04 points / match
This team is in the league's high-possession group.
High-possession teams average 0.96 more points per match than low-possession teams.
Possession profile
Territory context
Possession & Territory
More possession and more corners than most teams in the league.
- Possession:
- 79 / 100
- Corners:
- 83 / 100
Scores run from 0 to 100 and compare this team with the rest of the league. Higher means more of that characteristic, not better performance.
- Average possession
- 54.6%
- Home
- 57.5%
- Away
- 51.8%
Based on 8 of 8 completed matches.
Recent results
Latest completed matches, newest first.
| Date | Opponent | Venue | Score | Result | Competition |
|---|---|---|---|---|---|
| 10 Oct 2026 | Kilmarnock | Home | 3–1 | Win | Premiership |
| 20 Sept 2026 | Celtic | Away | 1–0 | Win | Premiership |
| 09 Sept 2026 | St. Mirren | Home | 1–0 | Win | Premiership |
| 05 Sept 2026 | Motherwell | Home | 1–0 | Win | Premiership |
| 02 Sept 2026 | Falkirk | Away | 2–1 | Win | Premiership |
| 30 Aug 2026 | Aberdeen | Away | 1–0 | Win | Premiership |
| 09 Aug 2026 | Hibernian | Home | 1–2 | Loss | Premiership |
| 31 Jul 2026 | Dundee United | Away | 1–1 | Draw | Premiership |
Home and away
Home and away records this season.
| Split | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|
| Home | 4 | 3 | 0 | 1 | 6 | 3 | 3 | 9 |
| Away | 4 | 3 | 1 | 0 | 5 | 2 | 3 | 10 |
Attack & defence
How the team has performed in attack and defence across completed league matches this season.
Attack
Defence
Match pattern
Standout players
The team's leading players by FootyCabin Impact Score this season. Players are shown once they have enough match data.
- 2Emmanuel FernandezView player
Centre back
Impact 64.5·Creative Impact 87.5
Aerial Defender
Best category: Creative Impact
Squad
Players used this season, ordered by minutes played. Impact Score is shown once a player has enough match data.
| Player | Role | |||||
|---|---|---|---|---|---|---|
| Emmanuel Fernandez | Centre back | 8 | 720 | — | — | 64.5 |
| Ivor Pandur | Goalkeeper | 8 | 720 | — | — | 50.6 |
| Olwethu Makhanya | Centre back | 7 | 630 | — | — | 48.5 |
| Djeidi Gassama | Winger | 8 | 555 | — | 2 | 65.6 |
| James Penrice | Full back | 6 | 508 | — | 1 | 44.6 |
| Nicolas Raskin | Defensive midfielder | 6 | 505 | — | — | 47.6 |
| Dujon Sterling | Full back | 6 | 496 | — | — | 58.2 |
| Dan Neil | Defensive midfielder | 6 | 483 | — | — | 53.4 |
| Ryan Naderi | Attacking midfielder | 7 | 456 | 4 | 1 | 42.4 |
| Min-su Kim | Attacking midfielder | 6 | 410 | — | — | 64.4 |
| Findlay Curtis | Winger | 8 | 409 | — | — | 62.9 |
| Lawrence Shankland | Striker | 5 | 364 | 3 | — | 57.6 |
| Cammy Devlin | Defensive midfielder | 6 | 335 | — | — | Sample too small |
| Kevin Kelsy | Striker | 4 | 243 | 1 | — | Sample too small |
| Tuur Rommens | Full back | 2 | 180 | — | — | Sample too small |
| Mohamed Diomandé | Defensive midfielder | 2 | 134 | — | — | Sample too small |
| Kosta Nedeljkovic | Full back | 3 | 121 | — | — | Sample too small |
| Daisuke Yokota | Winger | 4 | 117 | — | — | Sample too small |
| Thelo Aasgaard | Attacking midfielder | 2 | 112 | 1 | — | Sample too small |
| Ben Godfrey | Centre back | 5 | 83 | — | — | Sample too small |
| Badredine Bouanani | Winger | 3 | 80 | — | — | Sample too small |
| Youssef Chermiti | Striker | 2 | 80 | — | — | Sample too small |
| Ross McCrorie | Role not established | 3 | 69 | — | 1 | Sample too small |
| Vanja Dragojevic | Full back | 1 | 46 | — | — | Sample too small |
| Tochi Chukwuani | Role not established | 4 | 42 | — | — | Sample too small |
| Bojan Miovski | Role not established | 3 | 24 | 1 | — | Sample too small |
Appearances and minutes are from completed matches. Players who have played for more than one club this season are marked.
Squad by role
Players grouped by position. Impact data is shown only when there is enough match data.
Centre back
- View player
- Olwethu MakhanyaView player
Impact 48.5·Defensive Activity 39.1
Full back
- Dujon SterlingView player
Impact 58.2·Defensive Reliability 78.1
- View player
Defensive midfielder
- View player
- Nicolas RaskinView player
Impact 47.6·Defensive Reliability 86.1
Attacking midfielder
- Min-su KimView player
Impact 64.4·Attacking Threat 83.3
- Ryan NaderiView player
Impact 42.4·Attacking Threat 61.1
Winger
- View player
- Findlay CurtisView player
Impact 62.9·Defensive Reliability 93.8
Striker
Team impact leaders
The team's highest Impact Scores this season, alongside each player's playing style. Playing style describes how they play, not how good they are. How this is built
- 1Djeidi GassamaWingerDirect Winger65.6/100
- 2Emmanuel FernandezCentre backAerial Defender64.5/100
- 3Min-su KimAttacking midfielderArchetype not available64.4/100
Squad archetype profile
The most common playing styles in the squad this season.
- Aerial Defender120%
- Creative Full-Back120%
- Creative Midfielder120%
- Direct Winger120%
- Goal-Focused Forward120%
Based on 5 players with enough data for a playing-style classification.
Player contributions
Team leaders for minutes, goals, assists and Impact Score this season.
Most minutes
All completed fixtures this season.
- 1Emmanuel Fernandez720minutes
- 2Ivor Pandur720minutes
- 3Olwethu Makhanya630minutes
- 4Djeidi Gassama555minutes
- 5James Penrice508minutes
Most goals
Season totals from imported match data.
- 1Ryan Naderi4goals
- 2Lawrence Shankland3goals
- 3Kevin Kelsy 1goals
- 4Thelo Aasgaard1goals
- 5Bojan Miovski1goals
Most assists
Season totals from imported match data.
- 1Djeidi Gassama2assists
- 2James Penrice1assists
- 3Ryan Naderi1assists
- 4Ross McCrorie1assists
Highest Impact Score
Only players who meet the publishable sample and coverage rules.
- 1Djeidi Gassama65.6/ 100
- 2Emmanuel Fernandez64.5/ 100
- 3Min-su Kim64.4/ 100
- 4Findlay Curtis62.9/ 100
- 5Dujon Sterling58.2/ 100
Methodology
Data source
Match, lineup, event and player statistics come from Sportmonks and are stored per fixture. Only completed fixtures with recorded minutes are aggregated. Announced lineups and future fixtures are excluded.
Per 90 minutes
A per-90 value scales a season total to a full match: total × 90 ÷ minutes played. It is not calculated when minutes are missing or zero.
Missing data
The provider omits some statistics instead of sending a zero. A missing value is shown as "not available" and never converted to 0, so rates and percentiles are only produced where the underlying fields genuinely exist.
Impact Score
The Football Performance Lab Impact Score is an experimental in-house model that combines role-relative percentile families with explicit weights. It is not an official rating and not a measure of transfer value.
Minimum samples
Values are calculated internally from 180 minutes, but a player is only shown publicly with a ranked Impact Score from 360 minutes and 5 appearances, with at least 90% metric coverage and an established role. A single appearance contributes a match impact observation from 30 minutes.