League One
Notts County – Oxford United match report
ScoreMondo · Published: · Updated:
Oxford United got the better of Notts County, winning 2-1 at Meadow Lane. It was 0-1 at half-time. The top ScoreMondo rating of the match went to Oxford United's C. Brannagan: 9.3. The match was played on Saturday, 10 October 2026 at Meadow Lane in Nottingham.
Key moments
Oxford United took the lead on 18 minutes thanks to M. Harris. Oxford United led 1-0 at the break.
Oxford United extended their lead to 2-0 in the 88th minute through C. Brannagan, set up by L. Lynch. Just 2 minutes later (90') Notts County pulled one back to make it 1-2, R. Finneran on target, set up by N. Tsaroulla.
What the numbers say
Notts County's yellow cards went to R. McDonald in the 7th minute, O. Cooper in the 23rd minute, M. H. Sanders in the 47th minute, J. Bedeau in the 58th minute and R. Finneran in the 70th minute. Booked for Oxford United: L. Sibley (44'), P. Kioso (82') and M. Helik (87').
Ratings and substitutions
The best ScoreMondo ratings after the player of the match went to I. Samuels-Smith (Notts County, 9.1), M. Harris (Oxford United, 8.0) and R. Finneran (Notts County, 7.4). From the Notts County bench came M. H. Sanders on 46 minutes, N. Tsaroulla on 46 minutes, R. Finneran on 46 minutes and L. Smyth on 65 minutes. Oxford United made 5 changes: K. Andrews for L. Sibley (58'), G. O'Donkor for M. Missanga (66'), L. Snowden for T. Goodrham (66') and B. Spencer for J. Currie (76').
Before the match
Notts County came into the match with 1 win, 1 draw and 2 defeats from their last 4 matches. Their most recent game was a 2-1 win over Grimsby Town for Notts County. Before kick-off, Oxford United's last 3 matches had brought 1 win and 2 draws. Oxford United drew 2-2 with Exeter City last time out. C. Brook was the referee, averaging 4.3 yellow cards per match across 65 matches in our records.
The bigger picture
Oxford United are now unbeaten in 4 matches.
This text is written automatically from our match data; every number and name in it comes from that data.