How are these calculated?

Composite: each per-game stat (goals, assists, saves, shots, demos, shooting %, MVPs) is turned into a z-score vs the player's tier peers, weighted by how much it correlates with winning, summed, then shrunk toward the tier average for small samples (games / (games + 8)).

Tier dominance: that composite expressed two ways - a percentile within the tier (rank), and a margin in standard deviations above the tier average (how big an outlier). The margin is what flags genuine outliers vs. someone merely top of a tight tier.

Overall rating (0-100): the composite plus a tier-strength bonus (Premier counts most), turned into a league-wide percentile - so it's comparable across tiers, unlike tier dominance.

Projects as: re-sorting every player by overall skill into the tiers' real sizes, the tier this player would land in. Projecting up a tier (and being an outlier) = "overskilled." A model estimate.

Per-game production (percentile within Challenger)

Stat	Per game	Total	Percentile in tier
Points	318.64	4461	33rd
Goals	0.79	11	56th
Assists	0.57	8	56th
Saves	0.93	13	9th
Shots	3.21	45	95th
Demos	1.64	23	92nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	318.64	#657 / 1215	#89 / 166
Goals	0.79	#417 / 1215	#57 / 166
Assists	0.57	#401 / 1215	#56 / 166
Saves	0.93	#828 / 1215	#121 / 166
Demos	1.64	#102 / 1215	#11 / 166

60% of the season is played (14 → ~23 games). Projected (this season) blends the current rate with the tier average (regression to the mean). Projected (all data) instead regresses toward the player’s own career rate (68 games across 2 past seasons). Pace is the naive "keep current rate" number. Range = 80% prediction interval on the this-season projection.

Stat	Now	Pace	Projected (season)	Projected (all data)	80% range
Points	4461	7329	7403	7403	7320 – 7485
Goals	11	18	18	19	14 – 22
Assists	8	13	13	13	10 – 16
Saves	13	21	23	24	18 – 27
Shots	45	74	72	72	64 – 79
Demos	23	38	36	37	30 – 41
MVPs	2	3	3	3	2 – 5

From 14 ballchasing replays (matches + scrims). Advanced OVR is a percentile among the 762 players with enough replay data - separate from the box-score OVR above.

Boost / min	371.7
Avg boost	50.5
Boost stolen / game	463.5
% time at 0 boost	10.1%
Avg speed (uu/s)	1575.2
% supersonic	14.9%
% time high in air	3.7%
Avg distance to ball	3089.4
% time attacking third	21.1%
Demos / game	1.6
Demos taken / game	1.0
Shooting %	26.0%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Challenger	44	1.04	0.55	1.43	367
S25	Challenger	24	0.62	0.38	2.0	372
S26	Challenger	14	0.79	0.57	0.93	372

Historical analysis - data: Official · All seasons (change in the nav)

Where the 25 most similar players from 11 completed past season(s) landed for each per-game stat (median + middle-50% range). A "players like you finished here" anchor that complements the pace projection above.

Stat	This season	Comparables median	Typical range
Goals/game	0.79	0.8	0.75 – 0.88
Assists/game	0.57	0.67	0.61 – 0.68
Saves/game	0.93	1.11	1.0 – 1.21
Shots/game	3.21	2.92	2.75 – 3.04

Most similar players (across RSC history)

Nearest matches by per-game production & play-style (goals, assists, saves, shots, boost, speed, positioning, demos), standardized across 6659 player-seasons. Lower distance = more similar.

Player	Season	Tier	Goals/g	Assists/g	Saves/g	Similarity
SleepyCrimson_	S25	Challenger	0.8	0.7	0.9	1.28
branthedan	S23	Challenger	0.98	0.52	1.21	1.32
Blender	S21	Elite	0.67	0.56	0.89	1.34
Chase	S20	Challenger	0.75	0.67	0.92	1.35
Squatch .	S25	Veteran	0.95	0.51	1.14	1.36
spposse	S24	Veteran	0.75	0.5	1.0	1.37
JoJo-sepy	S24	Veteran	0.95	0.67	1.14	1.41
cel	S19	Veteran	0.75	0.5	1.12	1.44
Panick	S22	Veteran	0.78	0.64	1.0	1.49
Joxtrot	S21	Master	0.91	0.68	1.25	1.52

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

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Data source: live (rscna.com) - standings & schedule refresh hourly.