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	340.36	11232	56th
Goals	0.88	29	71st
Assists	0.52	17	48th
Saves	1.09	36	35th
Shots	2.12	70	29th
Demos	1.42	47	89th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	340.36	#500 / 1215	#59 / 161
Goals	0.88	#274 / 1215	#39 / 161
Assists	0.52	#509 / 1215	#68 / 161
Saves	1.09	#691 / 1215	#85 / 161
Demos	1.42	#160 / 1215	#14 / 161

60% of the season is played (33 → ~55 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 (60 games across 2 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	11232	18720	18678	18678	18541 – 18815
Goals	29	48	48	47	41 – 55
Assists	17	28	28	28	23 – 34
Saves	36	60	61	61	53 – 68
Shots	70	117	118	114	107 – 129
Demos	47	78	76	75	68 – 85
MVPs	2	3	4	4	2 – 6

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	299.1
Avg boost	57.4
Boost stolen / game	474.8
% time at 0 boost	5.4%
Avg speed (uu/s)	1427.1
% supersonic	7.4%
% time high in air	3.9%
Avg distance to ball	3046.2
% time attacking third	19.0%
Demos / game	1.6
Demos taken / game	0.7
Shooting %	42.0%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Challenger	30	0.7	0.23	1.47	278
S25	Prospect	30	0.57	0.53	1.13	307
S26	Prospect	29	0.9	0.52	1.17	299

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	0.9	0.76	0.74 – 0.82
Assists/game	0.52	0.45	0.42 – 0.53
Saves/game	1.17	1.22	1.13 – 1.35
Shots/game	2.17	2.23	2.12 – 2.3

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
Shraggaholic	S22	Contender	0.74	0.53	1.13	0.98
Primed	S20	Challenger	0.75	0.5	1.38	1.05
Preaux.	S23	Challenger	0.96	0.41	1.23	1.06
SludgeMixFuzz	S23	Prospect	0.75	0.43	0.95	1.18
xNerdyGamer	S26	Contender	0.78	0.56	1.12	1.19
Chis	S17	Veteran	0.78	0.67	1.22	1.28
Chicken	S20	Rival	0.68	0.39	1.18	1.30
Pure_Pusher	S22	Challenger	1.0	0.42	1.15	1.31
BromzaTheOldMan	S23	Challenger	0.79	0.47	1.28	1.32
j_durv	S25	Contender	0.87	0.6	1.08	1.34

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.