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	403.22	7258	86th
Goals	1.11	20	86th
Assists	0.72	13	83rd
Saves	1.0	18	12th
Shots	2.83	51	73rd
Demos	1.72	31	91st

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Challenger
Points	403.22	#119 / 1213	#18 / 166
Goals	1.11	#91 / 1213	#18 / 166
Assists	0.72	#178 / 1213	#22 / 166
Saves	1.0	#722 / 1213	#107 / 166
Demos	1.72	#91 / 1213	#12 / 166

53% of the season is played (18 → ~34 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 (15 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	7258	13710	13405	13405	13277 – 13532
Goals	20	38	36	33	30 – 43
Assists	13	25	24	23	18 – 29
Saves	18	34	35	37	29 – 42
Shots	51	96	95	94	84 – 105
Demos	31	59	55	53	47 – 63
MVPs	3	6	6	6	3 – 8

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	429.9
Avg boost	55.1
Boost stolen / game	630.2
% time at 0 boost	9.6%
Avg speed (uu/s)	1561.3
% supersonic	15.3%
% time high in air	6.3%
Avg distance to ball	2932.8
% time attacking third	23.4%
Demos / game	1.7
Demos taken / game	0.9
Shooting %	40.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Veteran	15	0.4	0.53	1.47	401
S26	Challenger	18	1.11	0.72	1.0	430

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	1.11	1.0	0.91 – 1.05
Assists/game	0.72	0.71	0.66 – 0.75
Saves/game	1.0	1.17	1.07 – 1.24
Shots/game	2.83	2.88	2.67 – 2.93

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
Slayerof666	S23	Challenger	1.13	0.63	1.07	0.91
Jetwind17	S25	Challenger	0.9	0.66	1.09	1.18
oofitsfine	S26	Contender	1.09	0.62	1.28	1.19
S_ckz	S24	Veteran	1.02	0.8	1.17	1.19
Feen	S21	Veteran	0.94	0.69	1.0	1.20
M0NKEE .	S25	Veteran	0.83	0.65	1.17	1.24
duffy	S23	Master	1.17	0.75	1.25	1.28
Captain Daddy	S24	Veteran	0.95	0.81	1.39	1.32
Dark Odst RW7	S21	Challenger	1.0	0.73	1.09	1.33
mushroom	S25	Veteran	0.86	0.74	1.0	1.35

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.