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	316.43	4430	39th
Goals	0.5	7	14th
Assists	0.43	6	26th
Saves	1.57	22	86th
Shots	2.5	35	53rd
Demos	1.07	15	70th

League ranking (per game, among 1215 players)

Stat	Per game	Overall rank	Rank in Prospect
Points	316.43	#668 / 1215	#81 / 161
Goals	0.5	#791 / 1215	#110 / 161
Assists	0.43	#685 / 1215	#95 / 161
Saves	1.57	#186 / 1215	#16 / 161
Demos	1.07	#349 / 1215	#40 / 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 (45 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	4430	7278	7324	7324	7242 – 7406
Goals	7	12	12	12	9 – 16
Assists	6	10	10	11	7 – 13
Saves	22	36	35	34	29 – 40
Shots	35	58	57	57	50 – 64
Demos	15	25	24	23	20 – 29
MVPs	0	0	1	1	0 – 2

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	352.7
Avg boost	48.5
Boost stolen / game	449.6
% time at 0 boost	10.8%
Avg speed (uu/s)	1427.0
% supersonic	10.4%
% time high in air	2.7%
Avg distance to ball	3095.8
% time attacking third	17.3%
Demos / game	1.1
Demos taken / game	0.7
Shooting %	24.9%

Career history (season over season)

Season	Tier	Games	Goals/g	Assists/g	Saves/g	Boost/min
S24	Prospect	20	0.65	0.7	0.7	328
S25	Prospect	25	0.56	0.8	1.16	355
S26	Prospect	14	0.5	0.43	1.57	353

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	0.5	0.56	0.5 – 0.64
Assists/game	0.43	0.46	0.41 – 0.48
Saves/game	1.57	1.53	1.42 – 1.6
Shots/game	2.5	2.25	2.19 – 2.36

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
Fomayy	S18	Elite	0.55	0.46	1.36	0.82
Chicken	S24	Veteran	0.67	0.45	1.48	0.93
Lorak	S22	Challenger	0.67	0.48	1.48	0.93
(P|F)ineapple	S26	Elite	0.56	0.56	1.56	0.95
ReedyOrange	S23	Veteran	0.48	0.56	1.56	0.95
superstrikzz	S25	Contender	0.51	0.41	1.53	0.96
mogulmaniac5480	S24	Veteran	0.42	0.38	1.5	1.09
Pana	S22	Veteran	0.35	0.35	1.65	1.14
Thunderbolt	S23	Rival	0.31	0.38	1.54	1.18
mogulmaniac5480	S25	Rival	0.65	0.29	1.35	1.20

Descriptive comparables - cross-season stat scales can shift, and players who changed names between seasons won't link.

---

Data source: live (rscna.com) - standings & schedule refresh hourly.