Player explorer /LAT 2025

Statistical profile

Brian Peña

Midfielder · Riga FC · 24 yrs · Spain · 172 cm

Compare with another player
1,003Latent LevelLAT 2025 · position average 607
876.0Export Index#6 of 219 in LAT 2025
3,423Minutes3 qualifying seasons
26Goals + assists19G · 7A
Coverage behind this profileVirsliga 2023–2026 · 4 seasons. Nothing earlier exists in our data. Percentiles rank within one competition, season and position group — never across competitions. How every figure is made.

Latent Level by season

The Level is a cross-competition index — a score, never a percentage and never out of 100. Read it next to another Level, not alone. Scale, backtest and stated limits.

897LAT 2023
918LAT 2024
1,003LAT 2025

LAT 2025

Riga FC
1,466Minutes
28Apps
17Starts
876.0Export Index
#6LAT rankof 219 outfield
1,003Latent Levelposition avg 607

Percentile within LAT 2025 midfielders only — cohort of 100–101. Never comparable to a percentile from another competition or season.

Goals /900.3792
Assists /900.1884
Shots /902.893
On target /901.193
Conversion13%78
Shot accuracy39%72
Key passes /901.786
Touches /906679
Long balls /902.035
Pass accuracy83%75
Duels /9020.177
Duels won41%73
Recoveries /905.232
Clearances /900.311
0255075100
Compare to the midfielders median
Brian PeñaMedian
Goals /900.370.12
Assists /900.180.08
Shots /902.81.4
On target /901.10.5
Conversion13%7%
Shot accuracy39%32%
Key passes /901.70.9
Touches /906651
Long balls /902.02.6
Pass accuracy83%78%
Duels /9020.117.6
Duels won41%37%
Recoveries /905.26.3
Clearances /900.30.8

Minutes by match started substitute goal or assist

Full match log (28 matches)
DateMatchScoreStMinGAShKPDuels
2025-11-07vs RFS3–42601011/7
2025-10-24vs Tukums 20000–01100011/2
2025-10-19@ Metta0–13300003/5
2025-09-21@ Jelgava2–3600101/2
2025-09-13vs Auda6–03600111/4
2025-08-30@ Super Nova2–63100112/5
2025-08-10vs Grobiņa2–0S5900114/12
2025-08-03@ Tukums 20000–1S6800136/16
2025-07-27vs Metta3–2S90012313/23
2025-07-19@ Liepāja2–31200000/2
2025-07-06vs Daugavpils1–1S4800202/8
2025-07-01vs Jelgava3–0S6310317/14
2025-06-22vs Super Nova2–0S6400114/11
2025-06-18vs RFS3–12100004/6
2025-06-14@ Grobiņa0–2S7101112/11
2025-05-31vs Tukums 20003–0S5900304/13
2025-05-24@ Metta0–3S5800005/18
2025-05-19vs Liepāja2–0S7800218/20
2025-05-14@ Daugavpils0–14910228/12
2025-05-10vs Jelgava2–03300101/6
2025-04-19vs Grobiņa3–0S4800208/14
2025-04-13@ Tukums 20000–3S61001210/20
2025-04-08vs Metta1–1S83005111/24
2025-04-03@ Liepāja2–5S89103210/22
2025-03-29vs Daugavpils1–25200625/11
2025-03-15@ Jelgava1–1S5100015/9
2025-03-10vs Auda2–2S8510313/13
2025-03-06vs Super Nova2–0S8120414/18

LAT 2024

Riga FC
1,000Minutes
23Apps
10Starts
802.0Export Index
#15LAT rankof 221 outfield
918Latent Levelposition avg 608

Percentile within LAT 2024 midfielders only — cohort of 105. Never comparable to a percentile from another competition or season.

Goals /900.6396
Assists /900.2791
Shots /903.093
On target /901.294
Conversion21%91
Shot accuracy39%68
Key passes /901.478
Touches /906072
Long balls /900.85
Pass accuracy85%83
Duels /9024.493
Duels won35%41
Recoveries /906.651
Clearances /900.27
0255075100
Compare to the midfielders median
Brian PeñaMedian
Goals /900.630.11
Assists /900.270.07
Shots /903.01.3
On target /901.20.4
Conversion21%9%
Shot accuracy39%34%
Key passes /901.40.8
Touches /906051
Long balls /900.83.2
Pass accuracy85%79%
Duels /9024.417.8
Duels won35%37%
Recoveries /906.66.6
Clearances /900.20.7

Minutes by match started substitute goal or assist

Full match log (23 matches)
DateMatchScoreStMinGAShKPDuels
2024-11-03vs Metta4–0S8000128/20
2024-10-27vs Tukums 200010–14711428/17
2024-10-05@ Jelgava0–2S4500107/12
2024-09-19vs Valmiera1–0S8200126/15
2024-09-14@ Auda2–2S5300104/14
2024-08-31vs Grobiņa6–1S8721414/19
2024-08-25vs RFS0–0S4700004/15
2024-08-10@ Metta2–4S6920408/22
2024-08-04@ Tukums 20000–5S7510434/16
2024-07-19vs Jelgava6–12500101/3
2024-07-07@ Liepāja0–32100205/16
2024-06-22@ Grobiņa0–64600106/13
2024-05-29vs Tukums 20003–02000012/5
2024-05-24@ Daugavpils0–21900011/3
2024-05-19@ Jelgava1–51700001/7
2024-05-05@ Auda1–2S4500200/5
2024-05-02vs Grobiņa2–02800102/9
2024-04-27vs RFS1–21200101/5
2024-04-21@ Metta1–2S65001010/25
2024-04-16@ Tukums 20002–15301135/10
2024-04-12vs Daugavpils2–02500113/6
2024-04-08vs Jelgava2–02710105/10
2024-04-04vs Liepāja4–01200101/4

LAT 2023

Riga FC
957Minutes
18Apps
10Starts
777.0Export Index
#19LAT rankof 221 outfield
897Latent Levelposition avg 607

Percentile within LAT 2023 midfielders only — cohort of 101–102. Never comparable to a percentile from another competition or season.

Goals /900.5698
Assists /900.0958
Shots /904.2100
On target /901.698
Conversion13%73
Shot accuracy38%72
Key passes /900.952
Touches /906887
Long balls /900.52
Pass accuracy88%95
Duels /9032.398
Duels won43%88
Recoveries /905.529
Clearances /900.411
0255075100
Compare to the midfielders median
Brian PeñaMedian
Goals /900.560.12
Assists /900.090.07
Shots /904.21.5
On target /901.60.5
Conversion13%9%
Shot accuracy38%32%
Key passes /900.90.9
Touches /906852
Long balls /900.53.0
Pass accuracy88%78%
Duels /9032.319.8
Duels won43%35%
Recoveries /905.57.3
Clearances /900.41.0

Minutes by match started substitute goal or assist

Full match log (18 matches)
DateMatchScoreStMinGAShKPDuels
2023-11-11@ Valmiera1–13300217/10
2023-11-05@ Metta1–32110303/7
2023-10-29vs Super Nova1–13100128/16
2023-10-21@ Daugavpils0–2S90003410/19
2023-10-06vs Tukums 20004–01710106/9
2023-09-30@ Auda0–1S8000208/24
2023-09-25vs Liepāja3–1S7000105/20
2023-09-16@ RFS0–04000107/19
2023-09-01vs Jelgava3–5S57002012/36
2023-08-26vs Valmiera3–0S79103013/29
2023-08-13vs Metta1–0S7800406/15
2023-08-06@ Super Nova1–5S59104010/23
2023-07-30vs Daugavpils3–0S5600607/14
2023-07-23@ Tukums 20000–64801018/23
2023-07-08vs Auda1–0S6400128/23
2023-07-04vs Liepāja3–1S86109017/35
2023-06-30vs RFS2–21810204/5
2023-06-25@ Jelgava1–33000008/16

Also on record

Below the 270-minute floor — no percentile and no index is published for these seasons.

  • LAT 2026 · FK Auda — 158 min in 6 matches (low sample)
This page is the free layer A commissioned report adds what a database cannot: trend curves read season over season, comparable transfers out of the same corridor, destination fit, and a written verdict with the caveats attached. Enquire about a report on Brian Peña.