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Player stats 26/27

Rangers v Aberdeen

Your slip follows you between games.

How often each Rangers and Aberdeen player has hit the lines bookmakers price — 1+ shots on target, 2+ shots, 1+ fouls, a card — across their recent matches. How hit rates work ↓

Going into Rangers v Aberdeen on Sat 31 Oct: Min-su Kim (Rangers) leads the home side for 1+ shots on target — 5 of 6 (83%); Kevin Nisbet (Aberdeen) tops the visitors on 6 of 10 (60%). Raw hit rates from recent matches, not odds.

Predicted line-up — not the team sheet Our best guess at the shape, from recent selections. Team sheets usually land about an hour before kick-off.
What sits behind these numbers

Line-ups aren't confirmed, so the players shown are a likely XI from each club's recent selections — injuries and suspensions are filtered out where we know them. Hit rates are their recent form, not a forecast for this match.

Window
Last
What a window counts

Hit rates count the most recent completed games, newest first — reaching back into earlier seasons when the current one is short, and into games for a previous club, including in another league we cover.

Market
Line
Team
How hit rates and windows work

Each row's hit rate is the share of a player's games in the window where the bet would have landed. These are 26/27 figures from completed matches: Last N is their last N games; Season is their whole 26/27; H2H is only games against this opponent.

Rangers
Youssef ChermitiF 100%10 of 10 Pro 🔒
Min-su KimF 100%6 of 6 Pro 🔒
Kevin KelsyF 100%4 of 4 Pro 🔒
Thelo AasgaardM 90%9 of 10 Pro 🔒
Djeidi GassamaF 90%9 of 10 Pro 🔒
Lawrence ShanklandF 90%9 of 10 Pro 🔒
Findlay CurtisF 80%8 of 10 Pro 🔒
Bojan MiovskiF 80%8 of 10 Pro 🔒
Ryan Don NaderiM 80%8 of 10 Pro 🔒
Daisuke YokotaM 75%3 of 4 Pro 🔒
Emmanuel FernandezD 70%7 of 10 Pro 🔒
Nicolas RaskinM 70%7 of 10 Pro 🔒
James PenriceD 70%7 of 10 Pro 🔒
Dan NeilM 67%4 of 6 Pro 🔒
Aberdeen
Kevin NisbetF 90%9 of 10 Pro 🔒
Connor RonanM 83%5 of 6 Pro 🔒
Lewis SmithF 70%7 of 10 Pro 🔒
Ayoub MoulouaF 62%5 of 8 Pro 🔒
Findlay MarshallM 60%3 of 5 Pro 🔒

Rangers
Youssef ChermitiF 100%10 of 10 Pro 🔒
Lawrence ShanklandF 90%9 of 10 Pro 🔒
Min-su KimF 83%5 of 6 Pro 🔒
Djeidi GassamaF 80%8 of 10 Pro 🔒
Ryan Don NaderiM 80%8 of 10 Pro 🔒
Kevin KelsyF 75%3 of 4 Pro 🔒
Thelo AasgaardM 60%6 of 10 Pro 🔒
Aberdeen
Kevin NisbetF 60%6 of 10 Pro 🔒

Rangers
Min-su KimF 83%5 of 6 Pro 🔒
Djeidi GassamaF 70%7 of 10 Pro 🔒
Youssef ChermitiF 70%7 of 10 Pro 🔒
Aberdeen
No Aberdeen player in this window.

Rangers
Min-su KimF 83%5 of 6 Pro 🔒
Lawrence ShanklandF 80%8 of 10 Pro 🔒
Ryan Don NaderiM 80%8 of 10 Pro 🔒
Kevin KelsyF 75%3 of 4 Pro 🔒
Youssef ChermitiF 70%7 of 10 Pro 🔒
Aberdeen
Kevin NisbetF 60%6 of 10 Pro 🔒

Rangers
Emmanuel FernandezD 90%9 of 10 Pro 🔒
Nicolas RaskinM 90%9 of 10 Pro 🔒
Dan NeilM 83%5 of 6 Pro 🔒
Youssef ChermitiF 80%8 of 10 Pro 🔒
Cameron DevlinM 80%8 of 10 Pro 🔒
James PenriceD 80%8 of 10 Pro 🔒
Kevin KelsyF 75%3 of 4 Pro 🔒
Olwethu MakhanyaD 71%5 of 7 Pro 🔒
Tuur RommensD 70%7 of 10 Pro 🔒
Ryan Don NaderiM 70%7 of 10 Pro 🔒
Lawrence ShanklandF 60%6 of 10 Pro 🔒
Aberdeen
Toyosi OlusanyaF 80%8 of 10 Pro 🔒
Aremu AfeezM 70%7 of 10 Pro 🔒
Lewis MayoD 70%7 of 10 Pro 🔒
Lewis SmithF 70%7 of 10 Pro 🔒
Ayoub MoulouaF 62%5 of 8 Pro 🔒
Jack MilneD 60%6 of 10 Pro 🔒

Rangers
Youssef ChermitiF 60%6 of 10 Pro 🔒
Nicolas RaskinM 60%6 of 10 Pro 🔒
Aberdeen
Toyosi OlusanyaF 60%6 of 10 Pro 🔒

Rangers
No Rangers player in this window.
Aberdeen
Toyosi OlusanyaF 60%6 of 10 Pro 🔒

Rangers
Djeidi GassamaF 100%10 of 10 Pro 🔒
Dan NeilM 83%5 of 6 Pro 🔒
Min-su KimF 83%5 of 6 Pro 🔒
Emmanuel FernandezD 80%8 of 10 Pro 🔒
Youssef ChermitiF 80%8 of 10 Pro 🔒
Dujon SterlingD 80%8 of 10 Pro 🔒
Cameron DevlinM 80%8 of 10 Pro 🔒
Findlay CurtisF 70%7 of 10 Pro 🔒
Mohammed DiomandeM 60%6 of 10 Pro 🔒
Nicolas RaskinM 60%6 of 10 Pro 🔒
James PenriceD 60%6 of 10 Pro 🔒
Aberdeen
Tony YoganeF 80%8 of 10 Pro 🔒
Kevin NisbetF 80%8 of 10 Pro 🔒
Toyosi OlusanyaF 80%8 of 10 Pro 🔒
Lewis SmithF 80%8 of 10 Pro 🔒
Aremu AfeezM 70%7 of 10 Pro 🔒
Stuart ArmstrongM 70%7 of 10 Pro 🔒
Mitchy NteloF 67%2 of 3 Pro 🔒
Mats KnoesterD 60%6 of 10 Pro 🔒

Rangers
Djeidi GassamaF 80%8 of 10 Pro 🔒
Findlay CurtisF 60%6 of 10 Pro 🔒
Dujon SterlingD 60%6 of 10 Pro 🔒
Aberdeen
Toyosi OlusanyaF 70%7 of 10 Pro 🔒

Rangers
James PenriceD 100%10 of 10 Pro 🔒
Dan NeilM 100%6 of 6 Pro 🔒
Cameron DevlinM 80%8 of 10 Pro 🔒
Tuur RommensD 80%8 of 10 Pro 🔒
Olwethu MakhanyaD 71%5 of 7 Pro 🔒
Dujon SterlingD 70%7 of 10 Pro 🔒
Nicolas RaskinM 70%7 of 10 Pro 🔒
Mohammed DiomandeM 60%6 of 10 Pro 🔒
Youssef ChermitiF 60%6 of 10 Pro 🔒
Findlay CurtisF 60%6 of 10 Pro 🔒
Aberdeen
Ayoub MoulouaF 88%7 of 8 Pro 🔒
Aremu AfeezM 80%8 of 10 Pro 🔒
Stuart ArmstrongM 80%8 of 10 Pro 🔒
Lewis MayoD 80%8 of 10 Pro 🔒
Lewis SmithF 80%8 of 10 Pro 🔒
Alexander BriedlM 80%4 of 5 Pro 🔒
Gavin MolloyD 70%7 of 10 Pro 🔒
Chris CaddenD 70%7 of 10 Pro 🔒
Toyosi OlusanyaF 70%7 of 10 Pro 🔒
Mats KnoesterD 60%6 of 10 Pro 🔒
Bradley LyonsM 60%6 of 10 Pro 🔒

Rangers
Cameron DevlinM 70%7 of 10 Pro 🔒
James PenriceD 70%7 of 10 Pro 🔒
Tuur RommensD 70%7 of 10 Pro 🔒
Dan NeilM 67%4 of 6 Pro 🔒
Dujon SterlingD 60%6 of 10 Pro 🔒
Nicolas RaskinM 60%6 of 10 Pro 🔒
Aberdeen
Aremu AfeezM 60%6 of 10 Pro 🔒
Alexander BriedlM 60%3 of 5 Pro 🔒

Rangers
No Rangers player in this window.
Aberdeen
Aremu AfeezM 60%6 of 10 Pro 🔒

Rangers
No Rangers player in this window.
Aberdeen
Lewis MayoD 60%6 of 10 Pro 🔒

Rangers
Lawrence ShanklandF 50%5 of 10 Stats only
Thelo AasgaardM 40%4 of 10 Stats only
Ryan Don NaderiM 40%4 of 10 Stats only
Youssef ChermitiF 30%3 of 10 Stats only
Bojan MiovskiF 30%3 of 10 Stats only
Aberdeen
Kevin NisbetF 30%3 of 10 Stats only

Rangers
Youssef ChermitiF 30%3 of 10 Stats only
Aberdeen
No Aberdeen player in this window.

Rangers
No Rangers player in this window.
Aberdeen
Marius MüllerG 75%6 of 8 Stats only

🔒 Model is the paid layer — the model's +EV verdict on each line, per fixture in the tool. The hit rates here are free.

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New to these markets? The player stats guide explains what each line means and how to read a hit rate, and the glossary defines the terms.

Match officials

Not appointed yet — referees are usually confirmed two to three days before kick-off. See the referee panel

Form is only half the picture. A player hitting a line 5 of 5 can still be poor value if the true chance is lower than the streak suggests. The SharpXI tool pairs every one of these with the model's real probability — and flags the runs it doesn't back, so you're not chasing a streak about to regress. That honest verdict is the layer we're building into the tool.

Hit rates are raw recent form from public match data, for context — not a prediction or a guarantee. 18+ — please gamble responsibly.