Player explorer /USLC 2020

Statistical profile

Jack McGlynn

Midfielder · Philadelphia Union II · 23 yrs · USA · 180 cm

Compare with another player
583Latent LevelUSLC 2020 · position average 376
935.0Export Index#1 of 569 in USLC 2020
1,123Minutes1 qualifying season
8Goals + assists5G · 3A
Coverage behind this profileUSL Championship 2020–2026 · 7 seasons. Nothing earlier exists in our data. Percentiles rank within one competition, season and position group, never across competitions. How every figure is made.

USLC 2020

Philadelphia Union II
1,123Minutes
14Apps
13Starts
935.0Export Index
#1USLC rankof 569 outfield
583Latent Levelposition avg 376

Percentile within USLC 2020 midfielders only, cohort of 226–229. Never comparable to a percentile from another competition or season.

Goals /900.4094
Assists /900.2482
Shots /901.566
On target /900.986
Conversion26%92
Shot accuracy58%90
Key passes /902.492
Touches /907089
Long balls /908.794
Pass accuracy73%20
Duels /907.819
Duels won59%88
Recoveries /907.087
Clearances /900.652
0255075100
Compare to the midfielders median
Jack McGlynnMedian
Goals /900.400.09
Assists /900.240.10
Shots /901.51.1
On target /900.90.3
Conversion26%7%
Shot accuracy58%31%
Key passes /902.41.1
Touches /907057
Long balls /908.73.9
Pass accuracy73%80%
Duels /907.89.8
Duels won59%49%
Recoveries /907.05.3
Clearances /900.60.6

Minutes by match started substitute goal or assist

Full match log (14 matches)
DateMatchScoreStMinGAShKPDuels
2020-10-03@ Pittsburgh2–1S9010405/8
2020-09-30vs None2–3S9000136/7
2020-09-26@ NY Red Bulls II5–4S7020207/10
2020-09-23@ None1–1S9010114/6
2020-09-20vs None0–3S9000233/9
2020-09-16vs Loudoun United4–0S8701346/13
2020-09-12@ Loudoun United1–1S5801252/3
2020-09-09@ NY Red Bulls II6–0S7800337/9
2020-09-07@ Tampa Bay2–0S8200021/2
2020-08-05vs NY Red Bulls II3–2S9011144/4
2020-08-01@ Pittsburgh4–0S9000013/11
2020-07-25@ None3–2S9000025/8
2020-07-22vs NY Red Bulls II1–5S9000012/5
2020-03-08vs Loudoun United0–0—2800012/2
This page is the free layer A 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. The first one is free.

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