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	342.0	8208	57th
Goals	0.88	21	69th
Assists	0.29	7	9th
Saves	1.42	34	74th
Shots	2.67	64	66th
Demos	1.33	32	84th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	342.0	#480 / 1215	#57 / 161
Goals	0.88	#275 / 1215	#40 / 161
Assists	0.29	#859 / 1215	#121 / 161
Saves	1.42	#341 / 1215	#35 / 161
Demos	1.33	#203 / 1215	#19 / 161

60% of the season is played (24 → ~40 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 (54 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	8208	13680	13634	13634	13519 – 13750
Goals	21	35	34	35	29 – 40
Assists	7	12	13	13	9 – 16
Saves	34	57	56	56	49 – 63
Shots	64	107	106	106	95 – 116
Demos	32	53	52	54	45 – 59
MVPs	6	10	10	10	7 – 13

From 21 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	373.4
Avg boost	50.1
Boost stolen / game	628.0
% time at 0 boost	13.1%
Avg speed (uu/s)	1523.9
% supersonic	13.4%
% time high in air	4.3%
Avg distance to ball	2842.7
% time attacking third	24.8%
Demos / game	1.5
Demos taken / game	0.6
Shooting %	34.3%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S21	Challenger	4	1.25	0.0	0.75	437
S22	Challenger	22	0.82	0.77	1.27	363
S23	Challenger	24	0.88	0.46	1.12	363
S25	Challenger	8	1.0	0.75	2.38	348
S26	Prospect	21	0.9	0.29	1.43	373

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	0.91	0.9	0.82 – 0.93
Assists/game	0.29	0.42	0.36 – 0.48
Saves/game	1.43	1.33	1.27 – 1.55
Shots/game	2.71	2.8	2.73 – 2.9

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
kalten	S25	Elite	0.9	0.42	1.55	0.99
Oksano.-	S19	Challenger	0.9	0.2	1.2	1.20
Its Jo Time	S18	Prospect	0.88	0.38	1.62	1.21
FuDaah	S22	Veteran	0.74	0.45	1.33	1.35
Ocular8	S25	Veteran	0.92	0.42	1.5	1.40
Celiscy	S24	Rival	1.02	0.35	1.28	1.41
janixity.	S23	Veteran	0.74	0.49	1.27	1.41
Llamaboy101	S25	Challenger	0.92	0.52	1.31	1.45
Gaw1f3d	S20	Rival	0.9	0.55	1.55	1.48
Minjaaa	S24	Challenger	0.93	0.35	1.32	1.49

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.