Gill

Gill — CS2 Stats

CA76561198838447616[U:1:878181888]Steam profile ↗

1,231Tracked matches50%Win rate2020Tracked since
677Hours in CS
CSDB Rating5.9 SolidPassive Rifler
Premier CS Rating21,489Pink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#2578 of 7033 tracked
FaceitLevel 6 · 1,318 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGGillFACEITLevel 6 · 1,318 ELOSTANDINGTop 54.0% of rankedPREMIER21,489 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning34
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY53407Last 10053%Win rateWLLLTLWWWT

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating

Player DNA

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

Aim8.2
Aggression2.9
Utility5.3
Positioning3.4
Opening Duels0.0
Clutch3.6

Strong CT-side opener

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 83% playstyle similarity

Most alike: utility contribution, aim profile.

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 48 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 35% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 555ms 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

Aim8.2
Positioning3.4
Utility5.3
Mechanics8.3
Opening Duels0.7
Win Impact5.0

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time553ms−73ms
first ⅓ avg 626ms → last ⅓ avg 553ms
Headshot accuracy30.2%+2.5%
first ⅓ avg 27.7% → last ⅓ avg 30.2%

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 — dust2 13–6
131Biggest win — dust2
6Longest win streak
98In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 61% over 33nukeWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A33201361%0.01
mirageB22111150%-0.00
infernoA169756%0.00
ancientB105550%0.01
nukeC73443%-0.00
anubisA53260%-0.01
cache4040%-0.04
overpass1010%0.05
train110100%-0.02
office110100%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

26,959Lifetime kills
1.03K/D
1,530Matches
53.9%Match win rate · Top 10% of Pink band
55.5%Headshot % · Top 25% of Pink band
2.5%Shot accuracy
3,610MVPs
677Hours (in match)
1,051Bombs planted
537Bombs defused

Most-used weapons

Lifetime map wins

3,035dust2
2,929inferno
1,210nuke
885train
524vertigo
209office
41italy
2lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

63Matches
59%Win rate
1.06Avg K/D
80.6ADR
55%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1656%1.1314.8
Dust2967%0.9813.4
Train771%1.6018.4
Inferno743%0.9213.0
Ancient425%0.8818.8
Nuke3100%0.8714.0
Anubis250%1.0416.0
Overpass1100%0.8917.0

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.

28.8%Headshot accuracy
31.2%Accuracy (enemy spotted)
29.7%Spray accuracy
87.4%Counter-strafing
9.0°Preaim
555msReaction time
14.5%T opening success
35.5%CT opening success
0.64Enemies flashed / flash
2.3%Flash assists
6.73HE damage / grenade
7.76Flashes / 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 14.4714% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–90.0019%26 Aug
inferno14–16-0.0132%26 Aug
mirage6–13-0.0528%25 Aug
anubis6–13-0.0128%23 Aug
dust215–150.0327%23 Aug
ancient1–90.0613%22 Aug
nuke13–11-0.0420%22 Aug
dust216–140.0332%22 Aug
mirage13–80.0223%22 Aug
dust215–15-0.0223%21 Aug
mirage10–13-0.0031%20 Aug
inferno5–13-0.0725%20 Aug
dust21–13-0.1030%19 Aug
mirage3–13-0.0550%19 Aug
inferno9–13-0.0435%17 Aug
mirage14–16-0.0137%16 Aug
ancient6–130.0031%16 Aug
mirage13–80.0323%16 Aug
dust213–11-0.0913%16 Aug
dust213–10-0.0136%16 Aug
dust29–13-0.0625%16 Aug
inferno13–7-0.0135%15 Aug
nuke13–11-0.0123%14 Aug
ancient5–13-0.0826%14 Aug
dust213–70.0132%14 Aug
dust213–10-0.0117%14 Aug
inferno13–7-0.0322%13 Aug
dust213–100.0533%13 Aug
mirage13–8-0.0345%12 Aug
dust28–130.0746%12 Aug
anubis16–13-0.0254%11 Aug
dust214–16-0.0221%9 Aug
mirage11–13-0.0760%8 Aug
cache2–13-0.0643%8 Aug
dust213–30.0957%8 Aug
inferno4–13-0.0227%8 Aug
ancient13–7-0.0126%4 Aug
dust29–13-0.0246%2 Aug
cache2–11-0.0723%2 Aug
inferno13–11-0.0425%2 Aug
ancient13–100.0224%2 Aug
ancient15–150.0126%1 Aug
inferno13–9-0.0024%1 Aug
inferno13–80.0329%31 Jul
nuke13–60.0828%31 Jul
dust213–10.0432%30 Jul
mirage13–90.0622%30 Jul
inferno8–130.0132%30 Jul
mirage13–70.0133%29 Jul
mirage13–160.0321%27 Jul
dust215–150.0323%27 Jul
mirage11–13-0.0115%27 Jul
dust213–70.0355%27 Jul
dust26–130.0129%27 Jul
overpass8–130.0523%26 Jul
dust213–8-0.0529%26 Jul
anubis6–13-0.0469%26 Jul
cache9–130.0631%26 Jul
ancient10–13-0.0323%25 Jul
mirage13–7-0.0023%25 Jul
mirage13–90.0237%25 Jul
dust213–90.0136%25 Jul
mirage13–90.0237%24 Jul
inferno13–80.0522%24 Jul
dust213–11-0.0240%24 Jul
dust210–13-0.0030%23 Jul
train13–8-0.0257%23 Jul
mirage15–150.0025%23 Jul
cache3–13-0.1115%23 Jul
dust213–70.0530%22 Jul
nuke11–13-0.0236%22 Jul
office13–9-0.0858%22 Jul
inferno13–90.0321%21 Jul
dust26–130.0052%21 Jul
anubis13–8-0.0022%21 Jul
dust214–16-0.0024%20 Jul
dust213–100.0129%20 Jul
dust213–100.0333%20 Jul
anubis13–60.0530%20 Jul
ancient13–30.0426%19 Jul
ancient13–100.0321%19 Jul
mirage4–13-0.0813%19 Jul
mirage13–110.0420%19 Jul
dust213–50.1023%19 Jul
ancient13–70.0822%18 Jul
nuke11–130.0123%18 Jul
inferno13–80.0624%18 Jul
dust213–60.1332%18 Jul
mirage10–13-0.0322%18 Jul
inferno12–120.0226%18 Jul
dust213–110.0319%17 Jul
mirage13–70.0123%17 Jul
inferno13–40.0041%17 Jul
nuke15–15-0.0235%17 Jul
dust213–110.0124%16 Jul
dust23–130.0239%16 Jul
inferno10–130.0531%16 Jul
mirage10–13-0.0123%16 Jul
mirage13–100.0530%16 Jul
nuke6–13-0.0223%16 Jul

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 →