Majesticgorilla

Majesticgorilla — CS2 Stats

US76561198154896838[U:1:194631110]Steam profile ↗

1,146Tracked matches48%Win rate2022Tracked since
CSDB Rating5.3 DevelopingClutch Specialist
Premier CS Rating16,063Purple band · top ~24.2% of ranked players (population est.)
CSDB Leaderboard#7811 of 12609 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGMajesticgorillaPREMIER16,063 · Purple bandcsdb.gg/stats

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Performance scores

Aim64
Positioning53
Utility38

0–100 skill scores via Leetify.

Recent form

COLD45514Last 10045%Win rateLLLWLLLTWW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim6.4
Aggression6.4
Utility3.8
Positioning5.3
Opening Duels2.1
Clutch8.4

Reliable in 1v1s

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

Twistzz

Plays most like Twistzz 85% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 603ms 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

Aim6.4
Positioning5.3
Utility3.8
Mechanics7.2
Opening Duels2.1
Win Impact4.4

Composite 5.3/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time596ms−56ms
first ⅓ avg 652ms → last ⅓ avg 596ms
Headshot accuracy15.9%+2.3%
first ⅓ avg 13.6% → last ⅓ avg 15.9%

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

0.40Best rating — vertigo 9–0
133Biggest win — dust2
6Longest win streak
L3Current streak
1111In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 64% over 14infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C2381535%-0.02
mirageB1991047%-0.01
cacheC156940%-0.03
ancientA149564%-0.02
nukeA116555%-0.03
anubisB63350%0.00
infernoD51420%-0.07
vertigo42250%0.11
overpass2020%-0.01
office110100%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

33Matches
42%Win rate
0.78Avg K/D
62.8ADR
44%Headshot %

Clutches & streaks

62%1v1 clutch win
21%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno850%0.7414.1
Mirage838%0.8616.5
Ancient580%0.8210.6
Vertigo425%0.9613.5
Train30%0.528.7
Anubis333%0.558.3
Dust21100%1.3121.0
Overpass10%0.578.0

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.

16.2%Headshot accuracy
33.9%Accuracy (enemy spotted)
30.9%Spray accuracy
82.3%Counter-strafing
9.3°Preaim
603msReaction time
33.1%T opening success
44.0%CT opening success
0.58Enemies flashed / flash
2.6%Flash assists
5.44HE damage / grenade
5.16Flashes / 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 33.1071% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.0631%22 Aug
mirage14–16-0.0119%22 Aug
dust211–13-0.0733%21 Aug
ancient13–8-0.027%21 Aug
mirage11–13-0.019%21 Aug
cache7–13-0.0713%19 Aug
nuke7–13-0.0230%17 Aug
ancient15–15-0.073%17 Aug
nuke16–140.068%17 Aug
ancient13–70.008%17 Aug
anubis13–50.0230%17 Aug
dust213–70.037%17 Aug
office13–11-0.0117%16 Aug
vertigo9–3-0.029%16 Aug
inferno5–9-0.146%16 Aug
ancient13–7-0.0112%16 Aug
mirage9–130.0531%16 Aug
nuke13–11-0.0614%16 Aug
cache11–13-0.0221%16 Aug
inferno10–13-0.0524%15 Aug
dust213–50.0613%11 Aug
dust211–130.016%11 Aug
cache13–5-0.0115%11 Aug
dust211–13-0.0416%11 Aug
cache13–40.0429%11 Aug
nuke5–13-0.057%11 Aug
anubis13–110.017%11 Aug
dust27–130.0217%10 Aug
cache7–13-0.0713%10 Aug
mirage13–80.0128%10 Aug
mirage13–7-0.048%6 Aug
dust210–13-0.0319%6 Aug
ancient13–5-0.0216%4 Aug
cache13–50.0512%4 Aug
mirage10–13-0.015%4 Aug
anubis13–80.0422%4 Aug
inferno5–13-0.0218%3 Aug
anubis4–130.0115%2 Aug
dust210–13-0.0322%2 Aug
ancient8–130.0112%26 Jul
nuke13–110.0515%26 Jul
cache7–1-0.066%26 Jul
vertigo11–130.0612%22 Jul
inferno2–13-0.110%22 Jul
cache13–10-0.0112%21 Jul
ancient13–5-0.0218%18 Jul
dust210–13-0.0221%18 Jul
dust25–13-0.0513%17 Jul
cache13–11-0.069%17 Jul
ancient2–9-0.086%16 Jul
anubis11–130.009%16 Jul
dust24–13-0.108%16 Jul
nuke9–13-0.048%15 Jul
mirage13–9-0.0224%15 Jul
dust25–13-0.066%15 Jul
vertigo11–130.018%15 Jul
mirage0–7-0.076%14 Jul
cache6–13-0.0618%14 Jul
cache11–13-0.0311%13 Jul
cache12–120.027%13 Jul
mirage13–8-0.0219%12 Jul
dust213–30.038%12 Jul
cache12–16-0.0514%12 Jul
mirage13–100.0412%5 Jul
ancient13–9-0.0414%5 Jul
dust213–11-0.038%5 Jul
ancient13–100.0316%5 Jul
dust29–130.007%5 Jul
dust210–13-0.0213%5 Jul
dust25–13-0.076%4 Jul
nuke16–14-0.0816%4 Jul
mirage8–130.0312%4 Jul
ancient4–13-0.109%4 Jul
ancient13–110.0317%4 Jul
mirage13–16-0.0415%1 Jul
dust27–13-0.0012%29 Jun
mirage13–11-0.0322%29 Jun
nuke10–13-0.0510%29 Jun
dust213–10-0.0613%29 Jun
nuke13–7-0.0219%28 Jun
dust211–13-0.0512%27 Jun
anubis7–13-0.0810%27 Jun
dust213–7-0.0115%24 Jun
mirage13–7-0.0114%24 Jun
cache12–12-0.0215%22 Jun
cache12–12-0.0216%22 Jun
nuke10–13-0.049%21 Jun
ancient13–10-0.0112%20 Jun
nuke13–9-0.0413%20 Jun
mirage13–110.0811%20 Jun
vertigo9–00.4026%20 Jun
inferno13–6-0.0412%20 Jun
mirage13–70.0112%20 Jun
overpass9–130.0418%20 Jun
ancient3–130.0213%20 Jun
mirage9–13-0.0214%18 Jun
dust213–80.0213%17 Jun
mirage10–13-0.0214%14 Jun
dust213–60.0311%14 Jun
overpass3–13-0.0619%31 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →