tommygun — CS2 Stats

76561197969675830[U:1:9410102]

3,979Tracked matches50%Win rate2020Tracked since
CSDB Rating6.5 SolidHybrid Rifler
Premier CS Rating22,486Top 50% of 819 CSDB-tracked playersPink band · top ~5.8% of ranked players (population est.)
CSDB Leaderboard#4620 of 15288 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGtommygunFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER22,486 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning48
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY50464Last 10050%Win rateLLWLWLWWWW

Last 10 vs previous 10: +20pp win rate · +0.03 avg rating

Player DNA

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

Aim8.2
Aggression6.1
Utility7.1
Positioning4.8
Opening Duels1.5
Clutch0.0

Effective flashes

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 93% playstyle similarity

Most alike: opening-fight frequency, 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

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

Reaction time. 585ms 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
Positioning4.8
Utility7.1
Mechanics8.3
Opening Duels1.5
Win Impact5.0

Composite 6.5/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time586ms−27ms
first ⅓ avg 613ms → last ⅓ avg 586ms
Headshot accuracy18.4%+2.5%
first ⅓ avg 15.9% → last ⅓ avg 18.4%

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

0.18Best rating — cache 13–1
131Biggest win — cache
7Longest win streak
L2Current streak
710In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 60% over 5infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B52262650%0.02
cacheB29131645%0.01
infernoC52340%0.02
mirageA53260%0.01
nuke440100%0.02
ancient32167%0.01
office1010%-0.01
anubis1010%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,129Matches
52%Win rate
0.94Avg K/D
73.1ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
33%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1233%0.8214.3
Ancient1155%0.8914.7
Dust2650%1.2314.5
Inferno560%0.8513.2
Cache1100%1.5323.0
Anubis1100%1.2510.0

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.

18.5%Headshot accuracy
37.5%Accuracy (enemy spotted)
38.0%Spray accuracy
87.3%Counter-strafing
8.4°Preaim
585msReaction time
32.3%T opening success
39.3%CT opening success
0.72Enemies flashed / flash
5.5%Flash assists
8.64HE damage / grenade
14.52Flashes / 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 32.2964% — 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.

40% 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
dust28–13-0.0118%28 Aug
cache8–130.0127%28 Aug
cache13–110.0521%28 Aug
dust26–13-0.0318%28 Aug
dust213–100.0313%27 Aug
inferno10–130.0920%27 Aug
dust213–80.0020%27 Aug
dust213–110.0519%27 Aug
cache13–10.1821%27 Aug
dust213–8-0.0519%27 Aug
cache11–130.0323%26 Aug
dust27–13-0.0120%26 Aug
dust213–50.0717%25 Aug
cache13–80.0013%25 Aug
dust213–11-0.0821%24 Aug
cache3–90.0025%24 Aug
dust211–130.0117%24 Aug
dust213–70.0514%24 Aug
dust22–13-0.0610%23 Aug
cache11–130.0224%23 Aug
dust213–9-0.0318%23 Aug
dust213–60.0822%22 Aug
cache9–13-0.0115%22 Aug
dust28–13-0.0517%21 Aug
cache11–130.0420%21 Aug
dust213–80.0223%21 Aug
dust26–130.0116%20 Aug
dust28–13-0.0218%20 Aug
cache13–10-0.0017%20 Aug
dust213–110.059%20 Aug
cache13–80.0012%20 Aug
dust213–70.1018%19 Aug
nuke13–50.0822%18 Aug
cache13–30.0913%17 Aug
dust213–50.0821%17 Aug
dust27–130.0224%17 Aug
mirage13–50.0619%16 Aug
dust26–130.0817%16 Aug
cache10–130.0019%16 Aug
dust213–70.0513%16 Aug
dust213–100.1022%16 Aug
dust213–70.1018%15 Aug
mirage13–7-0.0010%15 Aug
dust211–13-0.0416%15 Aug
inferno11–130.0514%14 Aug
dust213–2-0.0216%14 Aug
cache13–30.0922%14 Aug
dust29–130.0618%14 Aug
cache6–13-0.0714%14 Aug
dust211–130.0020%13 Aug
nuke13–50.0628%13 Aug
dust23–13-0.0222%13 Aug
dust28–13-0.048%12 Aug
cache12–12-0.015%12 Aug
dust23–130.0221%12 Aug
dust27–130.0520%12 Aug
dust25–13-0.0819%12 Aug
dust213–70.029%11 Aug
dust23–13-0.0422%11 Aug
cache13–50.0223%11 Aug
office7–13-0.0117%11 Aug
dust213–11-0.038%11 Aug
mirage11–13-0.0512%11 Aug
nuke13–7-0.049%11 Aug
ancient13–10-0.0213%11 Aug
dust29–130.0219%11 Aug
cache8–130.0116%11 Aug
dust213–70.0730%11 Aug
nuke13–9-0.0013%10 Aug
dust213–100.0311%10 Aug
cache13–70.0013%10 Aug
dust23–13-0.0812%10 Aug
dust211–130.0816%10 Aug
cache13–50.0611%10 Aug
dust29–13-0.0012%10 Aug
dust213–80.0516%9 Aug
inferno13–7-0.0014%9 Aug
cache7–13-0.079%9 Aug
inferno9–130.027%9 Aug
cache13–40.0318%9 Aug
cache13–70.0618%9 Aug
mirage11–130.0212%9 Aug
cache12–12-0.0019%9 Aug
dust210–130.0416%9 Aug
cache13–5-0.0213%8 Aug
inferno13–7-0.0425%8 Aug
cache10–13-0.0616%8 Aug
dust213–90.0336%8 Aug
cache12–120.0414%8 Aug
anubis10–130.0215%7 Aug
ancient13–100.0611%7 Aug
dust213–60.0413%7 Aug
dust213–110.0310%7 Aug
cache10–13-0.0022%7 Aug
ancient8–13-0.0211%7 Aug
mirage13–110.0313%7 Aug
cache4–13-0.065%7 Aug
dust212–120.0428%7 Aug
dust213–40.0728%6 Aug
dust26–13-0.0416%6 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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