Callum Frogson

Observed in more than one division. D2 2022-2023 at 9 involvements in 35 nineties (0.26/90), then D1 2024-2025 at 0.13/90. Surname is unique in the population, so the match is high confidence. These two rates are not directly comparable, which is exactly what the level model is being built to resolve.

After college

Career

Season	Div	Team	Pos	GP	90s	G	A	raw/90	adj/90	sched	rank	pct
2025	D1	North Carolina	DEF	16	15.8	0	1	0.086	0.088	1.07	2270	13
2024	D1	Fla. Atlantic	DEF	16	15.5	1	2	0.176	0.170	0.95	1744	36
2023	D2	Fort Hays St.	DEF	18	18.0	0	1	0.075	0.072	0.96	2253	13
2022	D2	Fort Hays St.	DEF	19	16.7	5	3	0.378	0.337	0.88	824	67
Career	D1 + D2	3 teams		69	66.0	6	7	0.145	0.136

The career row totals only what can be totalled. Schedule, rank and percentile are blank because each one is a position inside a single division-season, so there is no career version of them, and the best season's percentile is not one. The career raw/90 and adj/90 are every season put on the D1 scale and weighted by minutes, which is the only way to total a rate across divisions. The level ladder is measured from 665 players observed in two divisions, in both directions, so it is a within-player comparison rather than a guess. A goal in D2 counts as 0.72 of a D1 goal. Treat it as a translation, not a projection. The ladder is an average over players who moved, and most of them were mid-table, so applying it to someone far out in his division's tail assumes the gap is the same size up there. The mover sample cannot check that.

2025 · every game by opponent strength

Each circle is one game, placed by how strong the opponent was and how many goal involvements he had. Filled circles are games he scored or assisted in. He drew 0% of his involvements against the weaker half where 39% was expected given the schedule he played (p = 1.000). That is within the normal range.

2025 game log