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	307.83	5541	46th
Goals	0.5	9	12th
Assists	0.33	6	15th
Saves	1.78	32	96th
Shots	1.67	30	8th
Demos	0.33	6	8th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Contender
Points	307.83	#713 / 1215	#60 / 134
Goals	0.5	#791 / 1215	#91 / 134
Assists	0.33	#813 / 1215	#90 / 134
Saves	1.78	#78 / 1215	#4 / 134
Demos	0.33	#901 / 1215	#102 / 134

64% of the season is played (18 → ~28 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 (167 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	5541	8619	8648	8648	8564 – 8732
Goals	9	14	15	16	11 – 18
Assists	6	9	10	9	7 – 13
Saves	32	50	48	49	42 – 54
Shots	30	47	49	50	42 – 55
Demos	6	9	11	10	8 – 14
MVPs	2	3	3	3	2 – 5

From 17 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	317.2
Avg boost	52.3
Boost stolen / game	321.8
% time at 0 boost	6.9%
Avg speed (uu/s)	1426.3
% supersonic	8.5%
% time high in air	1.0%
Avg distance to ball	3332.2
% time attacking third	15.6%
Demos / game	0.2
Demos taken / game	0.7
Shooting %	35.6%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Amateur	56	0.84	0.29	1.62	299
S24	Amateur	55	0.66	0.18	1.53	294
S25	Amateur	56	1.29	0.54	1.29	327
S26	Contender	17	0.53	0.24	2.24	317

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	0.53	0.5	0.38 – 0.62
Assists/game	0.23	0.31	0.21 – 0.37
Saves/game	2.23	1.88	1.75 – 2.0
Shots/game	1.82	2.0	1.67 – 2.17

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
Chicken	S21	Rival	0.5	0.25	2.12	1.07
Goum	S13	Veteran	0.55	0.18	2.54	1.43
iProfessorEx	S20	Elite	0.42	0.33	1.92	1.61
Miserable	S20	Master	0.75	0.12	2.0	1.72
Shraggaholic	S18	Contender	0.33	0.42	1.92	1.77
Nova_	S17	Elite	0.38	0.12	1.88	1.86
BRG	S21	Prospect	0.36	0.27	1.82	1.86
ADeadM0053	S18	Master	0.12	0.12	2.38	1.86
SCEET	S25	Elite	0.5	0.38	2.0	1.87
ADeadM0053	S21	Master	0.38	0.25	1.62	2.00

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.