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	327.68	9175	32nd
Goals	0.86	24	64th
Assists	0.61	17	64th
Saves	1.11	31	20th
Shots	2.93	82	80th
Demos	0.54	15	13th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Rival
Points	327.68	#600 / 1215	#92 / 164
Goals	0.86	#306 / 1215	#46 / 164
Assists	0.61	#334 / 1215	#48 / 164
Saves	1.11	#678 / 1215	#107 / 164
Demos	0.54	#790 / 1215	#117 / 164

56% of the season is played (28 → ~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 (194 games across 4 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	9175	16384	16450	16450	16311 – 16589
Goals	24	43	42	44	35 – 49
Assists	17	30	30	31	24 – 36
Saves	31	55	57	56	48 – 65
Shots	82	146	144	147	131 – 157
Demos	15	27	29	26	23 – 35
MVPs	4	7	7	7	4 – 10

From 24 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	310.7
Avg boost	50.1
Boost stolen / game	449.8
% time at 0 boost	6.2%
Avg speed (uu/s)	1477.9
% supersonic	9.9%
% time high in air	3.5%
Avg distance to ball	2960.4
% time attacking third	23.8%
Demos / game	0.5
Demos taken / game	1.3
Shooting %	28.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Challenger	15	1.27	0.47	1.07	269
S23	Rival	60	1.05	0.6	1.33	290
S24	Rival	60	0.9	0.68	0.95	305
S25	Rival	59	0.9	0.7	1.12	302
S26	Rival	24	0.88	0.62	1.08	311

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	0.88	0.9	0.87 – 0.97
Assists/game	0.62	0.61	0.55 – 0.7
Saves/game	1.08	1.0	0.95 – 1.22
Shots/game	3.17	2.95	2.91 – 3.05

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
EyeSucka	S24	Rival	0.9	0.68	0.95	0.95
Marcus.	S13	Elite	0.81	0.69	1.0	1.03
x ARC Fives x	S20	Challenger	0.91	0.46	1.0	1.08
Wild Thing	S24	Rival	0.87	0.56	0.98	1.14
DaScrappyDoo	S20	Challenger	0.8	0.7	1.1	1.14
Riko	S24	Rival	0.79	0.55	1.31	1.16
Cronus	S13	Challenger	0.88	0.69	0.88	1.17
Flyerrr85	S24	Challenger	0.9	0.75	1.23	1.20
JoeExotic	S26	Challenger	0.9	0.62	1.07	1.23
JazzMagic.	S25	Rival	0.97	0.58	1.11	1.25

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.