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 Contender)

Stat	Per game	Total	Percentile in tier
Points	366.48	7696	83rd
Goals	0.86	18	71st
Assists	0.52	11	61st
Saves	1.52	32	87th
Shots	2.81	59	86th
Demos	0.81	17	55th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	366.48	#295 / 1215	#19 / 134
Goals	0.86	#306 / 1215	#31 / 134
Assists	0.52	#497 / 1215	#43 / 134
Saves	1.52	#232 / 1215	#14 / 134
Demos	0.81	#591 / 1215	#50 / 134

64% of the season is played (21 → ~33 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 (128 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	7696	12094	11930	11930	11831 – 12029
Goals	18	28	28	29	23 – 33
Assists	11	17	17	17	13 – 21
Saves	32	50	49	48	43 – 55
Shots	59	93	91	93	82 – 100
Demos	17	27	27	28	22 – 32
MVPs	5	8	8	8	5 – 10

From 18 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	323.2
Avg boost	47.2
Boost stolen / game	348.9
% time at 0 boost	9.1%
Avg speed (uu/s)	1376.9
% supersonic	6.3%
% time high in air	3.3%
Avg distance to ball	3085.3
% time attacking third	16.4%
Demos / game	0.8
Demos taken / game	1.0
Shooting %	30.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S21	Contender	41	1.27	0.37	0.73	326
S22	Contender	46	1.13	0.63	1.04	336
S24	Prospect	41	0.8	0.42	1.39	320
S26	Contender	18	0.94	0.44	1.61	323

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	0.94	0.89	0.85 – 1.0
Assists/game	0.44	0.5	0.44 – 0.54
Saves/game	1.61	1.46	1.39 – 1.6
Shots/game	3.11	2.88	2.58 – 2.97

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
GeneralZippy	S21	Master	0.89	0.42	1.44	1.16
StaRazor	S17	Amateur	1.07	0.54	1.43	1.35
Eternalsun	S17	Rival	0.81	0.44	1.81	1.40
Fluffles	S13	Rival	1.0	0.38	1.5	1.45
ReedyOrange	S17	Challenger	1.12	0.5	1.62	1.51
FlavoredBawls	S26	Prospect	1.0	0.42	1.58	1.51
RyGuy2flie	S25	Contender	1.02	0.67	1.64	1.55
MiniTechniks	S24	Prospect	0.8	0.42	1.39	1.56
The_Killerwon	S23	Rival	0.74	0.65	1.6	1.59
Scomps	S24	Challenger	0.88	0.5	1.48	1.60

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.