Grima

Grima — CS2 Stats

US76561198175829921[U:1:215564193]Steam profile ↗✓ No bans

971Tracked matches29%Win rate2021Tracked since
CSDB Rating4.8 DevelopingPassive Rifler
WingmanGold Nova III
Ladder ranks via Leetify

Performance scores

Aim69
Positioning34
Utility57

0–100 skill scores via Leetify.

Recent form

COLD434611Last 10043%Win rateLLLWLWLLLW

Last 10 vs previous 10: +10pp win rate · -0.02 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression3.4
Utility5.7
Positioning3.4
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; lower positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Reaction time. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.9
Positioning3.4
Utility5.7
Mechanics7.6
Opening Duels0.5
Win Impact0.0

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time600ms−74ms
first ⅓ avg 674ms → last ⅓ avg 600ms
Headshot accuracy19.3%+3.2%
first ⅓ avg 16.1% → last ⅓ avg 19.3%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.13Best rating — train 11–13
132Biggest win — inferno
5Longest win streak
L3Current streak
58In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 73% over 11cacheWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C2691735%-0.01
mirageC2491538%-0.02
nukeS118373%-0.01
cacheD93633%0.01
infernoD93633%-0.00
officeS64267%0.01
ancientC52340%0.01
overpass32167%0.00
vertigo32167%-0.02
train31233%0.03
italy1010%0.07

Across the last 100 tracked matches.

Faceit stats

Combat

2Matches
0%Win rate
0.65Avg K/D
ADR
48%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.8%Headshot accuracy
33.9%Accuracy (enemy spotted)
33.5%Spray accuracy
84.2%Counter-strafing
10.0°Preaim
596msReaction time
34.0%T opening success
25.5%CT opening success
0.65Enemies flashed / flash
16.1%Flash assists
10.72HE damage / grenade
5.45Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 33.9509% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient10–13-0.0230%29 Aug
dust26–13-0.0324%8 Aug
office9–13-0.0111%6 Aug
office13–90.0830%6 Aug
overpass7–130.0218%6 Aug
cache13–80.0128%6 Aug
mirage9–13-0.0313%6 Aug
mirage4–10-0.0317%6 Aug
vertigo8–13-0.036%2 Aug
dust213–40.019%2 Aug
cache4–130.0333%2 Aug
mirage11–130.0412%2 Aug
dust212–12-0.0326%2 Aug
nuke13–6-0.0219%1 Aug
mirage6–130.0121%30 Jul
ancient9–130.0111%30 Jul
inferno10–13-0.049%29 Jul
dust28–13-0.0031%29 Jul
mirage13–30.0827%29 Jul
cache8–130.0813%25 Jul
ancient12–12-0.0216%25 Jul
dust210–13-0.0413%25 Jul
office3–13-0.0613%16 Jul
nuke13–6-0.0623%15 Jul
mirage2–13-0.089%15 Jul
nuke5–13-0.0514%15 Jul
office13–11-0.0422%7 Jul
cache3–70.0438%7 Jul
inferno11–13-0.0721%6 Jul
dust213–40.0115%5 Jul
inferno1–13-0.0518%30 Jun
dust28–130.0125%30 Jun
nuke13–9-0.0120%30 Jun
inferno13–20.1214%27 Jun
dust29–13-0.0314%27 Jun
ancient13–70.0315%25 Jun
mirage7–13-0.0012%24 Jun
mirage11–13-0.0118%24 Jun
dust213–11-0.0213%24 Jun
dust212–12-0.0113%24 Jun
inferno13–90.0113%23 Jun
dust212–12-0.018%23 Jun
nuke13–40.0317%21 Jun
train5–13-0.0217%21 Jun
italy7–130.0715%21 Jun
cache13–40.0816%17 Jun
nuke13–10-0.0713%17 Jun
dust212–12-0.0114%17 Jun
nuke13–90.0231%16 Jun
mirage11–13-0.0417%16 Jun
dust213–10-0.0221%16 Jun
dust213–70.0719%7 Jun
mirage6–13-0.0419%7 Jun
dust213–11-0.0116%6 Jun
mirage13–30.0114%6 Jun
dust28–13-0.0526%6 Jun
mirage12–12-0.0214%6 Jun
train11–130.1326%5 Jun
vertigo13–110.0416%5 Jun
inferno6–130.0422%4 Jun
cache12–120.0525%4 Jun
vertigo13–10-0.0715%4 Jun
office13–90.0628%4 Jun
cache3–13-0.1014%9 May
mirage5–13-0.034%9 May
dust213–40.0121%9 May
cache13–6-0.054%9 May
inferno13–40.0217%3 May
office13–80.0114%3 May
mirage13–2-0.0410%2 May
cache12–12-0.0212%30 Apr
overpass13–7-0.0010%22 Apr
dust213–6-0.039%22 Apr
nuke11–13-0.019%20 Apr
overpass13–2-0.004%20 Apr
mirage13–8-0.0323%19 Apr
ancient13–50.0220%19 Apr
inferno12–12-0.0420%19 Apr
dust26–13-0.0324%19 Apr
train13–8-0.029%19 Apr
dust212–12-0.0321%19 Apr
mirage5–13-0.0617%19 Apr
mirage13–11-0.0611%19 Apr
nuke13–30.0224%19 Apr
dust25–13-0.0519%19 Apr
mirage13–7-0.0312%16 Apr
dust213–7-0.0320%16 Apr
nuke13–40.0711%16 Apr
dust26–13-0.058%11 Apr
mirage13–9-0.0217%11 Apr
mirage13–8-0.0513%9 Apr
mirage8–130.0120%4 Apr
dust211–13-0.0224%28 Mar
inferno2–13-0.0129%27 Mar
nuke5–130.0214%27 Mar
mirage6–13-0.0514%23 Mar
dust26–130.0225%15 Mar
mirage13–10-0.0316%14 Mar
dust211–130.0217%14 Mar
mirage12–12-0.0518%14 Mar

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →