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	383.16	12261	87th
Goals	1.09	35	88th
Assists	0.62	20	76th
Saves	1.28	41	65th
Shots	2.69	86	82nd
Demos	2.0	64	95th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Contender
Points	383.16	#203 / 1213	#14 / 134
Goals	1.09	#101 / 1213	#12 / 134
Assists	0.62	#293 / 1213	#25 / 134
Saves	1.28	#483 / 1213	#39 / 134
Demos	2.0	#38 / 1213	#3 / 134

64% of the season is played (32 → ~50 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 (55 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	12261	19158	18917	18917	18791 – 19043
Goals	35	55	53	55	47 – 60
Assists	20	31	31	30	26 – 36
Saves	41	64	64	63	56 – 71
Shots	86	134	133	135	122 – 144
Demos	64	100	96	96	87 – 104
MVPs	6	9	9	9	6 – 12

From 32 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	413.0
Avg boost	52.9
Boost stolen / game	598.5
% time at 0 boost	10.0%
Avg speed (uu/s)	1553.4
% supersonic	14.3%
% time high in air	3.0%
Avg distance to ball	3014.5
% time attacking third	23.5%
Demos / game	2.0
Demos taken / game	0.9
Shooting %	39.1%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Prospect	55	1.11	0.38	1.07	372
S25	Prospect	4	1.0	0.5	1.75	401
S26	Contender	32	1.09	0.62	1.28	413

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	1.09	1.0	0.92 – 1.13
Assists/game	0.62	0.63	0.57 – 0.69
Saves/game	1.28	1.28	1.24 – 1.39
Shots/game	2.69	2.86	2.63 – 2.95

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	0.74
Kanye_West_ 2028	S24	Veteran	0.92	0.61	1.42	1.01
Hxccxp	S26	Challenger	1.11	0.72	1.0	1.19
Polashjl	S23	Veteran	1.19	0.53	1.47	1.24
Honey x Badger3	S25	Challenger	0.96	0.67	1.24	1.24
M0NKEE .	S25	Veteran	0.83	0.65	1.17	1.24
Eclipse	S26	Premier	1.03	0.44	1.25	1.25
nate	S23	Prospect	1.09	0.75	1.3	1.30
Super	S24	Master	0.8	0.62	1.25	1.31
JayX	S22	Elite	1.21	0.54	1.33	1.31

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.