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 Rival)

Stat	Per game	Total	Percentile in tier
Points	315.94	5687	27th
Goals	0.5	9	16th
Assists	0.33	6	13th
Saves	1.61	29	81st
Shots	2.06	37	23rd
Demos	0.89	16	40th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	315.94	#671 / 1215	#98 / 164
Goals	0.5	#791 / 1215	#111 / 164
Assists	0.33	#813 / 1215	#113 / 164
Saves	1.61	#166 / 1215	#25 / 164
Demos	0.89	#522 / 1215	#79 / 164

56% of the season is played (18 → ~32 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 (197 games across 5 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	5687	10110	10219	10219	10112 – 10326
Goals	9	16	17	19	13 – 22
Assists	6	11	11	12	8 – 15
Saves	29	52	50	50	43 – 58
Shots	37	66	68	69	59 – 76
Demos	16	28	29	30	23 – 35
MVPs	3	5	5	5	3 – 8

From 14 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	368.3
Avg boost	54.8
Boost stolen / game	571.9
% time at 0 boost	9.6%
Avg speed (uu/s)	1550.1
% supersonic	13.2%
% time high in air	5.0%
Avg distance to ball	3021.2
% time attacking third	21.0%
Demos / game	0.9
Demos taken / game	0.9
Shooting %	17.0%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S21	Challenger	8	1.0	0.88	1.0	321
S22	Rival	23	0.61	0.65	1.22	328
S23	Rival	51	0.98	0.74	1.2	350
S24	Rival	60	1.02	0.35	1.28	347
S25	Rival	55	1.06	0.55	1.4	362
S26	Rival	14	0.36	0.29	1.21	368

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	0.36	0.5	0.43 – 0.55
Assists/game	0.29	0.32	0.29 – 0.38
Saves/game	1.21	1.18	1.08 – 1.3
Shots/game	2.14	2.17	2.05 – 2.25

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
Treefrog	S21	Challenger	0.3	0.3	1.3	0.90
Nukem_IV	S24	Rival	0.55	0.27	1.18	0.91
holypope5	S14	Veteran	0.5	0.3	1.3	1.09
GreenSleeves	S25	Premier	0.5	0.3	1.2	1.10
GoodDay	S17	Elite	0.47	0.33	1.07	1.11
GameGang	S24	Elite	0.51	0.34	1.07	1.12
vAirwick	S19	Challenger	0.44	0.28	1.06	1.13
peach	S22	Premier	0.4	0.34	1.34	1.27
Croutqn	S17	Elite	0.42	0.33	1.08	1.32
Legend	S23	Elite	0.38	0.38	1.54	1.32

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.