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	355.59	10312	66th
Goals	0.93	27	76th
Assists	0.59	17	60th
Saves	1.14	33	41st
Shots	2.97	86	84th
Demos	0.86	25	47th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	355.59	#377 / 1215	#45 / 161
Goals	0.93	#222 / 1215	#32 / 161
Assists	0.59	#383 / 1215	#52 / 161
Saves	1.14	#644 / 1215	#77 / 161
Demos	0.86	#540 / 1215	#70 / 161

60% of the season is played (29 → ~48 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 (8 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	10312	17068	16965	16965	16837 – 17094
Goals	27	45	44	44	37 – 50
Assists	17	28	28	26	23 – 33
Saves	33	55	55	57	48 – 62
Shots	86	142	140	136	128 – 152
Demos	25	41	42	46	35 – 48
MVPs	3	5	5	5	3 – 7

From 29 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	394.9
Avg boost	49.4
Boost stolen / game	593.9
% time at 0 boost	13.0%
Avg speed (uu/s)	1476.4
% supersonic	11.3%
% time high in air	4.2%
Avg distance to ball	3051.1
% time attacking third	26.1%
Demos / game	0.9
Demos taken / game	1.0
Shooting %	30.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S20	Rival	8	0.75	0.12	1.5	402
S21	Rival	6	0.67	0.67	1.0	410
S26	Prospect	29	0.93	0.59	1.14	395

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	0.93	0.92	0.86 – 1.0
Assists/game	0.59	0.58	0.53 – 0.64
Saves/game	1.14	1.11	1.05 – 1.22
Shots/game	2.97	2.92	2.8 – 3.02

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
YtExplixiit	S23	Rival	1.0	0.66	1.09	0.75
Hyper	S23	Rival	0.92	0.61	1.12	0.79
Ruthle	S20	Challenger	1.0	0.58	1.17	0.81
lurx bad at rl	S24	Rival	0.96	0.68	1.11	0.91
Baltostorm	S24	Challenger	0.78	0.53	1.22	1.08
Geherpaderp	S19	Master	0.88	0.75	1.12	1.09
Rex	S23	Veteran	1.02	0.56	1.0	1.18
xmanyaknow	S23	Rival	0.87	0.72	0.85	1.29
bovi	S18	Veteran	1.12	0.56	1.06	1.30
S3 UniQ	S24	Rival	0.86	0.53	1.05	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.