Gorilla

Gorilla — CS2 Stats

US76561198237839988[U:1:277574260]Steam profile ↗

988Tracked matches48%Win rate2024Tracked since
CSDB Rating5.2 DevelopingAggressive Rifler
Premier CS Rating12,326Blue band · top ~42.6% of ranked players (population est.)
CSDB Leaderboard#13337 of 18962 tracked
FaceitLevel 2 · 713 ELOTop 97.9% of ranked FACEIT players
WingmanSilver IV
Ladder ranks via Leetify

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CSDB.GGGorillaFACEITLevel 2 · 713 ELOSTANDINGTop 97.9% of rankedPREMIER12,326 · Blue bandcsdb.gg/stats

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Performance scores

Aim70
Positioning51
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY46459Last 10046%Win rateTLWLWLLWWW

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.0
Aggression7.1
Utility5.0
Positioning5.1
Opening Duels2.4
Clutch0.2

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

ropz

Plays most like ropz 87% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; lower aim 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

Reaction time. 571ms 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

Aim7.0
Positioning5.1
Utility5.0
Mechanics6.1
Opening Duels2.4
Win Impact4.4

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time587ms−44ms
first ⅓ avg 631ms → last ⅓ avg 587ms
Headshot accuracy16.3%+0.6%
first ⅓ avg 15.6% → last ⅓ avg 16.3%

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

0.20Best rating — ancient 6–13
131Biggest win — anubis
4Longest win streak
79In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 78% over 9nukeWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageB21111052%0.03
dust2C1981142%0.00
cacheB158753%0.03
nukeD113827%0.00
ancientD113827%0.04
anubisS97278%0.03
infernoA85363%0.01
train31233%0.05
office1010%-0.03
overpass1010%-0.02
vertigo1010%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

62Matches
50%Win rate
1.08Avg K/D
76.2ADR
48%Headshot %

Clutches & streaks

21%1v1 clutch win
16%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2040%1.0014.5
Dust21164%0.9113.9
Nuke1040%1.0515.4
Ancient1050%1.0415.5
Inferno862%1.2615.3
Train250%2.2419.5
Overpass1100%1.3316.0

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.

16.3%Headshot accuracy
35.3%Accuracy (enemy spotted)
38.1%Spray accuracy
77.3%Counter-strafing
9.6°Preaim
571msReaction time
36.8%T opening success
42.3%CT opening success
0.53Enemies flashed / flash
3.8%Flash assists
7.74HE damage / grenade
16.09Flashes / 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 36.7799% — below the 40% mark we flag

Spend your practice time on Nuke

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache15–150.0316%27 Aug
inferno14–160.0119%26 Aug
dust213–4-0.0119%26 Aug
anubis5–13-0.0015%25 Aug
inferno13–50.1121%22 Aug
dust26–13-0.1114%22 Aug
cache10–13-0.0117%22 Aug
cache13–90.0121%22 Aug
mirage13–110.0918%22 Aug
nuke13–4-0.0213%22 Aug
anubis13–60.0617%22 Aug
cache4–13-0.0318%22 Aug
anubis15–15-0.056%22 Aug
dust28–130.0524%22 Aug
ancient10–130.0216%22 Aug
dust216–130.0126%21 Aug
nuke10–130.029%21 Aug
mirage10–130.0118%21 Aug
dust215–150.0317%17 Aug
inferno13–4-0.0112%17 Aug
cache13–11-0.0014%15 Aug
mirage8–130.0512%15 Aug
dust25–13-0.0614%15 Aug
mirage13–80.0825%15 Aug
mirage9–130.0011%14 Aug
inferno13–11-0.0015%14 Aug
nuke3–5-0.0218%14 Aug
ancient13–110.0416%14 Aug
ancient12–16-0.0111%7 Aug
nuke13–90.0721%6 Aug
anubis13–10.0712%6 Aug
dust213–6-0.0013%6 Aug
cache9–13-0.0119%5 Aug
mirage11–13-0.0114%4 Aug
ancient13–30.0217%3 Aug
anubis13–11-0.0123%1 Aug
cache5–13-0.0423%31 Jul
cache13–100.0413%30 Jul
dust212–16-0.0121%30 Jul
ancient15–150.0118%27 Jul
inferno13–90.0916%27 Jul
mirage13–9-0.0214%24 Jul
ancient4–13-0.0518%24 Jul
nuke6–13-0.055%24 Jul
ancient13–40.1313%24 Jul
anubis13–90.0514%23 Jul
mirage2–80.0114%22 Jul
nuke5–130.0316%22 Jul
mirage9–130.035%22 Jul
dust29–130.0617%19 Jul
ancient10–130.0410%19 Jul
ancient12–120.0810%18 Jul
mirage13–9-0.0113%18 Jul
nuke7–13-0.058%18 Jul
dust213–40.0919%18 Jul
train13–100.0419%17 Jul
office11–13-0.0316%17 Jul
mirage13–80.0323%8 Jul
cache11–10.029%8 Jul
overpass8–13-0.0219%8 Jul
dust213–30.0523%8 Jul
nuke11–13-0.0012%8 Jul
dust26–13-0.0512%7 Jul
cache13–10.1624%7 Jul
anubis13–90.1417%7 Jul
cache13–110.0120%7 Jul
cache13–80.1214%7 Jul
cache10–13-0.0110%6 Jul
train12–120.0713%6 Jul
mirage13–70.0512%6 Jul
inferno15–15-0.0527%6 Jul
mirage13–80.0421%6 Jul
inferno8–13-0.110%6 Jul
cache13–80.0629%5 Jul
dust27–130.0521%5 Jul
dust213–9-0.0211%4 Jul
ancient11–13-0.0216%2 Jul
nuke8–13-0.0420%2 Jul
train7–130.0331%1 Jul
mirage11–130.0916%30 Jun
mirage13–110.0214%30 Jun
dust214–160.0115%30 Jun
vertigo12–120.0111%28 Jun
mirage13–50.0713%28 Jun
dust213–9-0.067%28 Jun
mirage13–60.0522%28 Jun
anubis13–10-0.052%27 Jun
dust211–13-0.0118%27 Jun
ancient6–130.2021%24 Jun
inferno7–00.0326%24 Jun
anubis13–80.0610%24 Jun
dust213–50.0320%24 Jun
nuke13–90.1010%22 Jun
mirage9–13-0.0219%22 Jun
nuke10–13-0.029%21 Jun
mirage6–130.0516%21 Jun
dust212–120.0120%21 Jun
cache8–130.0512%21 Jun
mirage8–130.0110%21 Jun
mirage13–9-0.0114%18 Jun

Match data via Leetify.

Milestones

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