Monty.

Veteran - Fer-de-Lance - 8-11 (0.421)
66 OVR
overall rating (0–100) · 19 games · how is this calculated?
Overall rating 66/100 Tier dominance: 52nd (-0.1 SD) Projects as: Veteran Role: Role player
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.

MVPs
3
16% of games
Shot %
31%

Per-game production (percentile within Veteran)

StatPer gameTotalPercentile in tier
Points 320.37 6087
18th
Goals 0.74 14
43rd
Assists 0.32 6
5th
Saves 1.16 22
22nd
Shots 2.37 45
32nd
Demos 2.47 47
97th

League ranking (per game, among 1215 players)

StatPer gameOverall rankRank in Veteran
Points320.37 #644 / 1215 #112 / 170
Goals0.74 #505 / 1215 #78 / 170
Assists0.32 #846 / 1215 #129 / 170
Saves1.16 #623 / 1215 #106 / 170
Demos2.47 #17 / 1215 #4 / 170

Season projection

Medium confidence

56% of the season is played (19 → ~34 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 (61 games across 4 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 6087 10893 11042 11042 10930 – 11155
Goals 14 25 25 24 20 – 31
Assists 6 11 12 12 8 – 16
Saves 22 39 40 42 34 – 47
Shots 45 81 82 79 72 – 91
Demos 47 84 78 82 69 – 87
MVPs 3 5 5 5 3 – 8

Advanced stats (ballchasing)

Advanced OVR 74 /100

From 18 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 398.6
Avg boost 49.9
Boost stolen / game 626.1
% time at 0 boost 11.2%
Avg speed (uu/s) 1591.2
% supersonic 16.7%
% time high in air 4.3%
Avg distance to ball 3155.7
% time attacking third 20.1%
Demos / game 2.5
Demos taken / game 0.9
Shooting % 29.1%

Career history (season over season)

SeasonTierGamesGoals/gAssists/gSaves/gBoost/min
S20Veteran16 0.560.382.12 398
S21Veteran4 1.00.01.5 493
S22Elite14 0.360.641.21 422
S23Elite20 0.70.651.4 429
S24Elite11 0.360.821.46 399
S25Elite4 0.00.250.0 445
S26Veteran18 0.670.221.22 399

Beyond RSC - lifetime & other play

External skill estimate: ~41 OVR Medium confidence — inferred from 50 public ranked-3v3 games (their score/game maps to OVR; this signal correlates ~0.71 with RSC OVR). Their actual RSC OVR is 66.
SourceGames RecordWin % Score/g
Lifetime (all)2282865-1008 46% 334
RSC (official)2311-7 61% 330
Non-RSC ranked 3v35015-25 38% 291
Non-RSC other2209839-976 46% 335

From public ballchasing replays (score-based, so no goals/saves breakdown). Non-RSC play tracks a player's overall level well but not their standing within a tier — see the ratings notes. Only players with a Steam id and uploaded public games appear here.

Historical analysis - data: Official · All seasons (change in the nav)

Comparable-based outlook

Medium confidence

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.

StatThis seasonComparables medianTypical range
Goals/game0.67 0.64 0.53 – 0.77
Assists/game0.22 0.36 0.31 – 0.42
Saves/game1.22 1.21 1.0 – 1.33
Shots/game2.33 2.24 1.8 – 2.38

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.

PlayerSeasonTierGoals/gAssists/gSaves/gSimilarity
T_i_m_o_g S24Prospect 0.510.291.24 1.29
Afino S23Veteran 0.60.291.32 1.36
junior1000gsxr S25Rival 0.660.451.19 1.43
CarnageWolfBite S20Rival 0.530.331.4 1.48
OksanoNQ S26Prospect 0.580.321.26 1.51
Naro S17Elite 0.880.381.38 1.63
huntsman. S17Veteran 0.750.51.12 1.70
Gaw1f3d S25Veteran 0.840.420.95 1.72
Hirsch S25Master 0.590.461.5 1.80
Theonlycrow2929 S21Veteran 0.730.091.18 1.84

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.