Timmy

Timmy — CS2 Stats

76561199149626986[U:1:1189361258]Steam profile ↗✓ No bans

918Tracked matches75%Win rate2021Tracked since
662Hours in CS4Hrs last 2 wks
CSDB Rating6.0 Solid
Premier CS Rating18,449Purple band · top ~14.7% of ranked players (population est.)
CSDB Leaderboard#26004 of 56173 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate49.4%44.2%47.1%above
Shot accuracy3.7%11.6%12.8%9.1% short
Kill/death ratio0.951.031.080.14 short
Match win rate45.5%45.2%46.6%1.1% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGTimmyPREMIER18,449 · Purple bandcsdb.gg/stats

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Performance scores

Aim54
Positioning55
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY53425Last 10053%Win rateWWWWTWLLLL

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

Player DNA

Aim5.4
Aggression8.3
Utility5.7
Positioning5.5
Opening Duels4.0

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

donk

Plays most like donk 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 54% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 679ms 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
Positioning5.5
Utility5.7
Mechanics6.5
Opening Duels4.0
Win Impact10.0

Composite 6.0/10 (Solid), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time672ms−1ms
first ⅓ avg 674ms → last ⅓ avg 672ms
Headshot accuracy18.3%+1.5%
first ⅓ avg 16.8% → last ⅓ avg 18.3%

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

0.12Best rating — dust2 13–6
131Biggest win — dust2
6Longest win streak
W4Current streak
126In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 71% over 17infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA26151158%0.00
dust2C2081240%0.02
nukeS1712571%-0.01
anubisB126650%-0.01
ancientA85363%0.01
cacheB84450%-0.02
infernoD72529%-0.02
train110100%0.01
overpass1010%-0.07

Across the last 100 tracked matches.

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

Lifetime stats

16,288Lifetime kills
0.95K/D
1,033Matches
45.5%Match win rate · Top 50% of Purple band
49.4%Headshot % · Top 50% of Purple band
3.7%Shot accuracy
2,005MVPs
384Hours (in match)
1,170Bombs planted
237Bombs defused

Most-used weapons

Lifetime map wins

1,668dust2
1,294vertigo
596nuke
494inferno
107train
10cbble
8italy
8lake

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

Skill profile

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

18.4%Headshot accuracy
31.4%Accuracy (enemy spotted)
34.6%Spray accuracy
79.1%Counter-strafing
10.0°Preaim
679msReaction time
37.7%T opening success
54.2%CT opening success
0.68Enemies flashed / flash
7.7%Flash assists
11.80HE damage / grenade
10.66Flashes / 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 37.6692% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0622%29 Aug
ancient13–110.0625%28 Aug
dust213–30.0913%28 Aug
dust213–100.0329%28 Aug
cache12–12-0.0226%28 Aug
cache13–40.0423%28 Aug
dust211–130.0219%26 Aug
dust210–130.0418%15 Aug
dust26–13-0.0324%15 Aug
mirage3–13-0.0715%12 Aug
mirage16–140.0220%12 Aug
cache7–13-0.0618%12 Aug
mirage13–50.0226%12 Aug
mirage13–20.0316%12 Aug
ancient13–8-0.0619%12 Aug
nuke13–9-0.0716%11 Aug
mirage9–13-0.0812%10 Aug
mirage13–60.0616%10 Aug
nuke13–60.0715%10 Aug
dust213–50.0724%10 Aug
dust215–15-0.0120%9 Aug
anubis13–110.0214%9 Aug
inferno13–10-0.0313%9 Aug
ancient13–11-0.048%9 Aug
nuke13–20.0315%7 Aug
anubis13–90.0218%7 Aug
ancient13–90.0316%7 Aug
mirage11–13-0.039%7 Aug
mirage13–50.0824%7 Aug
nuke13–80.0216%5 Aug
anubis13–100.0410%5 Aug
anubis13–100.0219%5 Aug
ancient9–130.0223%4 Aug
train13–100.0120%3 Aug
dust213–90.0617%3 Aug
nuke5–13-0.0423%3 Aug
nuke1–11-0.130%3 Aug
anubis8–13-0.0521%2 Aug
anubis9–130.0122%2 Aug
inferno11–13-0.0518%2 Aug
ancient10–130.0319%2 Aug
inferno13–40.0317%2 Aug
ancient12–120.0315%2 Aug
mirage13–110.0215%27 Jul
mirage13–6-0.063%26 Jul
anubis13–16-0.0614%26 Jul
mirage9–13-0.1020%24 Jul
mirage13–80.0322%24 Jul
dust28–13-0.015%22 Jul
mirage13–11-0.009%22 Jul
cache13–7-0.0614%20 Jul
mirage10–130.0618%19 Jul
dust23–13-0.139%19 Jul
dust213–110.0712%16 Jul
dust214–16-0.0212%13 Jul
dust213–60.1212%13 Jul
cache13–11-0.0623%12 Jul
mirage10–130.0321%11 Jul
dust27–13-0.0220%10 Jul
inferno11–13-0.0115%10 Jul
nuke13–110.0218%3 Jul
dust213–1-0.0110%3 Jul
dust213–7-0.0316%3 Jul
overpass3–13-0.0714%2 Jul
mirage7–130.0324%2 Jul
anubis13–11-0.0212%1 Jul
ancient13–20.0016%1 Jul
dust213–160.0425%1 Jul
nuke9–13-0.0118%1 Jul
mirage10–130.0526%1 Jul
dust24–130.0316%30 Jun
nuke5–13-0.0114%30 Jun
cache6–13-0.0218%29 Jun
dust212–12-0.0120%28 Jun
mirage9–130.0013%28 Jun
dust212–160.029%28 Jun
mirage10–130.0213%27 Jun
anubis10–13-0.069%27 Jun
nuke13–100.0233%27 Jun
nuke13–8-0.038%27 Jun
inferno11–13-0.0116%27 Jun
anubis7–13-0.0411%27 Jun
inferno12–12-0.0619%26 Jun
cache13–70.0527%26 Jun
mirage13–11-0.039%26 Jun
inferno5–130.025%25 Jun
nuke13–90.0621%22 Jun
nuke7–130.0313%22 Jun
mirage7–13-0.0615%22 Jun
mirage13–8-0.0319%21 Jun
anubis8–13-0.0619%21 Jun
mirage13–4-0.0616%21 Jun
anubis13–30.038%19 Jun
cache2–13-0.0424%18 Jun
nuke13–90.0119%18 Jun
nuke13–70.0025%18 Jun
mirage13–6-0.058%17 Jun
mirage13–90.0618%17 Jun
mirage13–90.0921%17 Jun
nuke13–7-0.0321%17 Jun

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 →