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	432.0	12096	97th
Goals	1.25	35	95th
Assists	1.0	28	96th
Saves	1.14	32	43rd
Shots	3.07	86	91st
Demos	0.46	13	14th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	432.0	#38 / 1215	#4 / 161
Goals	1.25	#35 / 1215	#5 / 161
Assists	1.0	#15 / 1215	#4 / 161
Saves	1.14	#637 / 1215	#75 / 161
Demos	0.46	#849 / 1215	#114 / 161

60% of the season is played (28 → ~47 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 (116 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	12096	20304	19876	19876	19736 – 20016
Goals	35	59	57	59	49 – 64
Assists	28	47	45	44	39 – 52
Saves	32	54	54	56	47 – 61
Shots	86	144	141	146	130 – 153
Demos	13	22	24	22	19 – 29
MVPs	6	10	10	10	7 – 13

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	296.1
Avg boost	51.3
Boost stolen / game	444.1
% time at 0 boost	6.6%
Avg speed (uu/s)	1370.6
% supersonic	6.1%
% time high in air	3.8%
Avg distance to ball	2945.9
% time attacking third	20.2%
Demos / game	0.5
Demos taken / game	1.0
Shooting %	41.8%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Amateur	48	1.62	0.48	1.27	329
S24	Challenger	13	0.46	0.31	1.38	305
S25	Prospect	55	1.02	0.44	1.69	284
S26	Prospect	24	1.29	1.04	1.12	296

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	1.29	1.17	1.12 – 1.27
Assists/game	1.04	0.8	0.75 – 0.93
Saves/game	1.12	1.21	0.93 – 1.27
Shots/game	3.12	2.96	2.54 – 3.12

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
AnarcrisT	S19	Rival	1.33	0.93	1.27	1.47
ZeroPop11	S18	Rival	1.25	0.92	1.25	1.53
MauiDestroYa	S14	Challenger	1.0	1.0	1.43	1.58
le bin.	S26	Challenger	1.07	0.86	1.34	1.66
Rhinocersaurus	S17	Amateur	1.0	0.93	0.93	1.67
Merioch	S19	Challenger	1.4	1.0	1.3	1.77
Rampage	S19	Amateur	1.41	0.86	0.8	1.78
LostZealous	S20	Prospect	1.14	0.8	1.37	1.81
Bev ski	S19	Rival	1.12	0.75	1.0	1.81
MiniTechniks	S19	Contender	1.17	0.75	1.33	1.85

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.