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 Prospect)

Stat	Per game	Total	Percentile in tier
Points	353.0	6354	65th
Goals	0.39	7	10th
Assists	0.5	9	41st
Saves	1.67	30	93rd
Shots	1.72	31	11th
Demos	1.39	25	88th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	353.0	#399 / 1215	#47 / 161
Goals	0.39	#877 / 1215	#120 / 161
Assists	0.5	#516 / 1215	#71 / 161
Saves	1.67	#127 / 1215	#9 / 161
Demos	1.39	#178 / 1215	#16 / 161

60% of the season is played (18 → ~30 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 (157 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	6354	10590	10507	10507	10407 – 10607
Goals	7	12	13	13	9 – 17
Assists	9	15	15	15	11 – 19
Saves	30	50	48	48	42 – 55
Shots	31	52	54	54	47 – 62
Demos	25	42	40	44	34 – 46
MVPs	1	2	2	2	1 – 4

From 15 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	331.9
Avg boost	48.5
Boost stolen / game	620.8
% time at 0 boost	9.8%
Avg speed (uu/s)	1462.5
% supersonic	9.8%
% time high in air	3.0%
Avg distance to ball	3121.0
% time attacking third	21.2%
Demos / game	1.3
Demos taken / game	1.2
Shooting %	25.0%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Prospect	56	0.75	0.43	0.95	314
S24	Challenger	49	0.53	0.57	1.33	328
S25	Prospect	52	0.58	0.48	1.33	330
S26	Prospect	15	0.47	0.53	1.4	332

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	0.47	0.57	0.5 – 0.61
Assists/game	0.53	0.5	0.46 – 0.57
Saves/game	1.4	1.4	1.29 – 1.46
Shots/game	2.0	2.11	1.93 – 2.23

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
Pure_Pusher	S25	Challenger	0.51	0.45	1.41	0.96
Shepherd	S24	Master	0.57	0.6	1.26	1.03
oBlueyRL	S25	Challenger	0.57	0.49	1.35	1.06
Chis	S24	Veteran	0.61	0.64	1.25	1.06
Tryhard goblin	S21	Rival	0.45	0.5	1.5	1.09
blindvisionary	S13	Challenger	0.5	0.5	1.33	1.12
JediPenguin_	S26	Challenger	0.47	0.47	1.37	1.15
ExecutivePowers	S25	Veteran	0.46	0.32	1.46	1.16
Chung	S18	Rival	0.64	0.55	1.18	1.17
Dooober	S24	Elite	0.58	0.55	1.4	1.18

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.