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	337.6	3376	50th
Goals	0.7	7	42nd
Assists	0.5	5	41st
Saves	1.5	15	74th
Shots	2.5	25	50th
Demos	0.5	5	15th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	337.6	#521 / 1215	#67 / 166
Goals	0.7	#553 / 1215	#77 / 166
Assists	0.5	#516 / 1215	#71 / 166
Saves	1.5	#240 / 1215	#31 / 166
Demos	0.5	#806 / 1215	#110 / 166

60% of the season is played (10 → ~17 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 (116 games across 3 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	3376	5739	5751	5751	5677 – 5824
Goals	7	12	12	11	9 – 15
Assists	5	8	9	8	6 – 11
Saves	15	26	25	25	20 – 30
Shots	25	42	42	40	36 – 49
Demos	5	8	10	10	7 – 13
MVPs	1	2	2	2	1 – 3

From 8 ballchasing replays (matches + scrims). Not enough replays for an Advanced OVR yet.

Boost / min	354.3
Avg boost	54.9
Boost stolen / game	500.6
% time at 0 boost	6.6%
Avg speed (uu/s)	1456.6
% supersonic	10.0%
% time high in air	4.7%
Avg distance to ball	3092.7
% time attacking third	22.0%
Demos / game	0.5
Demos taken / game	0.5
Shooting %	29.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Challenger	50	0.48	0.46	1.54	343
S24	Challenger	44	0.73	0.39	1.34	361
S25	Challenger	22	0.36	0.59	1.5	353
S26	Challenger	8	0.88	0.38	1.62	354

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	0.88	0.89	0.78 – 1.0
Assists/game	0.38	0.43	0.36 – 0.5
Saves/game	1.62	1.56	1.46 – 1.62
Shots/game	2.75	2.62	2.5 – 2.78

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
im_link42	S24	Amateur	1.0	0.44	1.61	0.59
Cryke	S26	Veteran	0.94	0.44	1.5	1.01
Mulliganisoup	S23	Prospect	0.96	0.43	1.43	1.06
kyddie.	S14	Rival	1.0	0.44	1.67	1.07
Mulliganisoup	S26	Prospect	0.78	0.44	1.56	1.10
Chronic Lies	S13	Rival	0.83	0.5	1.5	1.11
Geherpaderp	S22	Master	0.85	0.58	1.56	1.11
JazzMagic.	S23	Rival	0.9	0.39	1.46	1.11
Benny!	S22	Rival	1.07	0.43	1.5	1.17
Saucy Rexy	S18	Veteran	1.0	0.33	1.42	1.18

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.