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	295.5	9456	26th
Goals	0.75	24	50th
Assists	0.38	12	20th
Saves	0.97	31	21st
Shots	2.56	82	57th
Demos	0.66	21	29th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	295.5	#777 / 1215	#99 / 161
Goals	0.75	#455 / 1215	#64 / 161
Assists	0.38	#761 / 1215	#103 / 161
Saves	0.97	#800 / 1215	#105 / 161
Demos	0.66	#717 / 1215	#94 / 161

60% of the season is played (32 → ~53 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 (131 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	9456	15662	15809	15809	15683 – 15935
Goals	24	40	40	40	33 – 46
Assists	12	20	21	20	16 – 25
Saves	31	51	52	50	45 – 60
Shots	82	136	135	136	124 – 147
Demos	21	35	36	34	30 – 42
MVPs	4	7	7	7	4 – 9

From 28 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	323.4
Avg boost	55.7
Boost stolen / game	498.6
% time at 0 boost	5.3%
Avg speed (uu/s)	1388.0
% supersonic	6.1%
% time high in air	2.1%
Avg distance to ball	3104.6
% time attacking third	21.9%
Demos / game	0.6
Demos taken / game	1.1
Shooting %	34.1%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S23	Challenger	47	0.83	0.38	0.74	307
S24	Challenger	33	0.76	0.36	0.76	319
S25	Prospect	51	0.98	0.41	0.86	336
S26	Prospect	28	0.75	0.25	1.0	323

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	0.77	0.8	0.71 – 0.88
Assists/game	0.61	0.61	0.57 – 0.67
Saves/game	0.84	0.89	0.82 – 1.0
Shots/game	2.39	2.4	2.3 – 2.53

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
Zachs Vibes	S19	Challenger	0.73	0.55	0.82	0.69
bernatra	S14	Amateur	0.76	0.61	0.94	0.78
Twixxle_	S24	Challenger	0.8	0.6	0.84	0.95
Canadian Things	S26	Veteran	0.55	0.55	0.84	0.98
Pure_Pusher	S24	Challenger	0.9	0.57	0.91	1.08
YRA	S20	Rival	0.8	0.67	1.13	1.09
TechFour	S17	Contender	0.7	0.7	0.9	1.11
renightly	S25	Rival	0.69	0.54	0.88	1.12
thatBUGZBUNNY	S18	Prospect	0.75	0.62	0.75	1.13
PoupSoup	S22	Rival	0.92	0.58	1.17	1.14

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.