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	333.0	8325	46th
Goals	0.68	17	38th
Assists	0.4	10	21st
Saves	1.12	28	25th
Shots	2.32	58	34th
Demos	1.04	26	62nd

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	333.0	#558 / 1215	#72 / 166
Goals	0.68	#588 / 1215	#83 / 166
Assists	0.4	#725 / 1215	#103 / 166
Saves	1.12	#664 / 1215	#100 / 166
Demos	1.04	#375 / 1215	#50 / 166

60% of the season is played (25 → ~42 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 (54 games across 1 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	8325	13986	14020	14020	13901 – 14139
Goals	17	29	29	29	23 – 34
Assists	10	17	17	18	13 – 22
Saves	28	47	48	47	41 – 55
Shots	58	97	98	99	88 – 108
Demos	26	44	43	43	37 – 50
MVPs	4	7	7	7	4 – 9

From 12 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	379.3
Avg boost	55.1
Boost stolen / game	417.6
% time at 0 boost	7.3%
Avg speed (uu/s)	1527.9
% supersonic	12.0%
% time high in air	4.1%
Avg distance to ball	3026.4
% time attacking third	18.5%
Demos / game	1.4
Demos taken / game	0.8
Shooting %	52.4%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Challenger	54	0.8	0.61	1.07	357
S26	Challenger	16	0.81	0.25	1.25	382

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	0.81	0.75	0.67 – 0.79
Assists/game	0.25	0.35	0.25 – 0.39
Saves/game	1.25	1.29	1.19 – 1.42
Shots/game	2.31	2.3	2.19 – 2.48

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
OurStevie	S25	Challenger	0.74	0.3	1.23	0.74
mew_jr	S17	Master	0.88	0.19	1.25	0.75
HannandGrenade	S17	Veteran	0.67	0.33	1.22	0.94
Its_Lost	S23	Challenger	0.75	0.38	1.38	1.01
Turtle_Supreme	S23	Rival	0.71	0.4	1.19	1.02
Mathews175	S19	Veteran	0.67	0.39	1.33	1.07
Ghostie	S22	Rival	0.95	0.4	1.3	1.08
newk . . .	S25	Elite	0.71	0.29	1.48	1.15
Jacob.	S23	Rival	0.75	0.35	1.08	1.16
Lup	S26	Master	0.68	0.32	1.46	1.17

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.