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	374.93	5249	79th
Goals	0.86	12	67th
Assists	0.43	6	29th
Saves	1.5	21	79th
Shots	2.57	36	59th
Demos	0.5	7	18th

League ranking (per game, among 1213 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	374.93	#247 / 1213	#28 / 161
Goals	0.86	#318 / 1213	#43 / 161
Assists	0.43	#666 / 1213	#90 / 161
Saves	1.5	#241 / 1213	#24 / 161
Demos	0.5	#797 / 1213	#104 / 161

60% of the season is played (14 → ~23 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 (10 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	5249	8623	8475	8475	8389 – 8562
Goals	12	20	19	19	15 – 23
Assists	6	10	10	11	7 – 13
Saves	21	34	34	32	28 – 39
Shots	36	59	58	62	51 – 66
Demos	7	12	13	14	9 – 17
MVPs	2	3	3	3	2 – 5

From 14 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	380.4
Avg boost	50.2
Boost stolen / game	385.1
% time at 0 boost	10.3%
Avg speed (uu/s)	1508.9
% supersonic	13.4%
% time high in air	3.8%
Avg distance to ball	2748.1
% time attacking third	17.7%
Demos / game	0.5
Demos taken / game	0.9
Shooting %	33.2%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S25	Challenger	10	0.8	0.7	0.9	402
S26	Prospect	14	0.86	0.43	1.5	380

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	0.86	0.84	0.8 – 0.9
Assists/game	0.43	0.46	0.39 – 0.5
Saves/game	1.5	1.54	1.48 – 1.58
Shots/game	2.57	2.56	2.33 – 2.75

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
Nitro	S22	Veteran	0.79	0.51	1.49	0.92
DribblingPenguin	S23	Veteran	0.91	0.56	1.56	0.92
SlimmySlimReaper	S23	Rival	0.8	0.39	1.55	0.97
Irozuh.	S25	Rival	0.9	0.53	1.47	0.99
Nitro	S24	Veteran	0.91	0.39	1.72	1.03
cowtooth	S20	Rival	0.92	0.42	1.58	1.03
jnah	S14	Master	0.83	0.33	1.58	1.07
TheodoreThe2	S24	Veteran	0.85	0.5	1.6	1.09
JimJams	S26	Rival	0.75	0.5	1.3	1.10
BBlaazee.	S24	Prospect	0.9	0.36	1.44	1.11

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.