gamil

gamil — CS2 Stats

US76561198988602377[U:1:1028336649]Steam profile ↗✓ No bans

843Tracked matches48%Win rate2020Tracked since
CSDB Rating4.2 Developing
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

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CSDB.GGgamilFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim54
Positioning40
Utility37

0–100 skill scores via Leetify.

Recent form

COLD46495Last 10046%Win rateWLLWLTWLTL

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

Player DNA

Aim5.4
Aggression1.8
Utility3.7
Positioning4.0
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 73% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; 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

Aim5.4
Positioning4.0
Utility3.7
Mechanics5.3
Opening Duels0.1
Win Impact4.4

Composite 4.2/10 (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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time558ms−21ms
first ⅓ avg 579ms → last ⅓ avg 558ms
Headshot accuracy18.1%+3.6%
first ⅓ avg 14.5% → last ⅓ avg 18.1%

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

0.22Best rating — overpass 13–3
131Biggest win — inferno
8Longest win streak
46In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 80% over 5ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeA1710759%-0.02
overpassC1761135%0.00
officeA116555%-0.02
dust2C104640%-0.00
infernoC94544%-0.02
vertigoC94544%-0.01
ancientD72529%-0.01
anubisD62433%0.01
mirageS54180%-0.04
trainA53260%0.01
cache3030%0.01
italy110100%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

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

17.8%Headshot accuracy
30.8%Accuracy (enemy spotted)
31.9%Spray accuracy
73.8%Counter-strafing
10.8°Preaim
571msReaction time
22.4%T opening success
30.9%CT opening success
0.50Enemies flashed / flash
3.1%Flash assists
11.14HE damage / grenade
2.55Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.5488 — below the 4 mark we flag

    Grenade Lineups
  2. 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 22.3883% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–5-0.0111%28 Aug
inferno10–13-0.0216%4 Aug
office0–3-0.020%26 Jul
office13–70.0420%15 Jun
vertigo7–130.0116%11 Jun
office12–12-0.085%10 Jun
nuke13–60.0521%9 Jun
office7–13-0.0611%8 Jun
cache12–120.0432%7 Jun
ancient8–13-0.0113%4 Jun
office13–7-0.0232%31 May
overpass6–13-0.0119%31 May
nuke7–130.0011%17 May
nuke13–2-0.0519%17 May
office13–30.0321%3 May
cache1–13-0.0333%3 May
cache6–130.0121%3 May
ancient10–13-0.0217%26 Apr
nuke16–13-0.043%26 Apr
mirage3–13-0.088%25 Apr
nuke13–9-0.0214%24 Apr
italy13–8-0.0024%24 Apr
overpass8–13-0.0412%15 Apr
office13–11-0.0433%12 Apr
anubis12–120.0113%9 Apr
mirage13–9-0.1022%30 Mar
anubis9–130.0229%23 Mar
overpass11–130.0915%5 Mar
dust213–7-0.0417%5 Mar
nuke13–9-0.0619%3 Mar
overpass4–13-0.0424%3 Mar
overpass8–80.0117%3 Mar
office13–90.0229%15 Nov
overpass16–130.0214%25 Oct
nuke0–13-0.0613%19 Oct
ancient16–140.0130%19 Oct
dust27–13-0.0031%19 Oct
inferno13–4-0.0019%19 Oct
inferno13–90.0813%19 Oct
overpass5–13-0.0319%19 Oct
ancient4–130.0219%8 Oct
nuke13–7-0.0113%4 Oct
anubis13–100.0414%4 Oct
vertigo12–12-0.045%3 Oct
office4–13-0.0717%19 Sept
overpass13–40.0919%31 Aug
inferno13–10.0821%31 Aug
dust29–13-0.0228%31 Aug
ancient13–20.0229%31 Aug
dust28–13-0.0318%30 Aug
dust213–50.0918%30 Aug
overpass5–13-0.104%30 Aug
ancient9–13-0.0217%30 Aug
vertigo4–13-0.0517%29 Aug
overpass1–13-0.1017%29 Aug
nuke11–13-0.0427%25 Aug
overpass11–130.0116%23 Aug
nuke3–00.1240%23 Aug
nuke0–13-0.0918%17 Aug
nuke4–13-0.0616%10 Aug
office7–80.0419%4 Jul
inferno6–13-0.0839%4 Jul
overpass13–30.2226%28 Jun
office13–11-0.0115%28 Jun
overpass5–130.0414%20 May
vertigo7–130.0320%20 May
dust26–13-0.0312%26 Apr
overpass5–13-0.139%30 Mar
train4–13-0.0617%16 Mar
inferno2–13-0.0425%1 Jan
mirage13–8-0.0020%1 Jan
vertigo13–1-0.027%28 Dec
vertigo10–12-0.0516%15 Dec
overpass13–60.0024%15 Dec
nuke10–13-0.0213%13 Dec
anubis6–13-0.039%13 Dec
inferno9–13-0.0611%1 Dec
vertigo13–5-0.0214%1 Dec
dust28–13-0.0120%1 Dec
train13–10.0116%1 Dec
overpass13–9-0.0123%29 Nov
mirage13–30.033%29 Nov
inferno9–13-0.0218%27 Nov
nuke10–13-0.0513%25 Nov
train11–130.0219%25 Nov
mirage9–2-0.0513%25 Nov
dust213–4-0.0321%23 Nov
train13–30.0913%23 Nov
train13–9-0.0114%23 Nov
vertigo13–60.0311%2 Nov
overpass13–6-0.0213%23 Aug
nuke13–2-0.0714%24 May
dust213–30.0712%17 May
dust28–13-0.0315%31 Mar
nuke13–70.006%13 Jan
inferno13–10-0.0812%13 Jan
anubis8–30.0713%13 Jan
vertigo14–16-0.0320%13 Jan
ancient8–13-0.0413%24 Dec
anubis4–13-0.0413%24 Dec

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 →