Jimothy — CS2 Stats

76561198814090021[U:1:853824293]

2,101Tracked matches50%Win rate2020Tracked since
1,354Hours in CS
CSDB Rating6.2 SolidAggressive Rifler
Premier CS Rating13,513Blue band · top ~36.3% of ranked players (population est.)
CSDB Leaderboard#10334 of 15123 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGJimothyPREMIER13,513 · Blue bandcsdb.gg/stats

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Performance scores

Aim82
Positioning53
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY56377Last 10056%Win rateWWLLWWLLWW

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.2
Aggression6.8
Utility4.9
Positioning5.3
Opening Duels2.7

Excellent counter-strafingStrong 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

ropz

Plays most like ropz 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 52% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 684ms 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
Positioning5.3
Utility4.9
Mechanics9.8
Opening Duels2.7
Win Impact5.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time654ms+16ms
first ⅓ avg 638ms → last ⅓ avg 654ms
Headshot accuracy20.1%−3.4%
first ⅓ avg 23.5% → last ⅓ avg 20.1%

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

0.18Best rating — dust2 13–11
130Biggest win — cache
12Longest win streak
W2Current streak
86In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 61% over 38dust2Weakest map · 53% over 62
MapGradePlayedRecordWin rateAvg rating
dust2B62332953%0.01
cacheA38231561%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (53% over 62). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,888Lifetime kills
1.05K/D · Top 50% of tracked players
4,033Matches
49.4%Match win rate · Top 25% of tracked players
43.5%Headshot %
13.0%Shot accuracy · Top 50% of tracked players
9,540MVPs
1,354Hours (in match)
3,924Bombs planted
686Bombs defused

Most-used weapons

Lifetime map wins

12,797dust2
3,938inferno
2,885nuke
1,243vertigo
683train
664office
105cbble
42italy

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.

21.2%Headshot accuracy
37.2%Accuracy (enemy spotted)
37.6%Spray accuracy
94.2%Counter-strafing
8.4°Preaim
684msReaction time
29.8%T opening success
51.6%CT opening success
0.69Enemies flashed / flash
4.1%Flash assists
8.42HE damage / grenade
5.84Flashes / 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 29.8392% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–110.0316%11 Aug
dust210–10.0319%11 Aug
dust27–13-0.0420%10 Aug
dust28–130.0123%10 Aug
cache13–30.018%31 Jul
dust213–80.0528%30 Jul
dust210–130.0515%30 Jul
cache10–130.0524%28 Jul
dust213–50.0524%23 Jul
cache13–80.0621%22 Jul
dust213–100.0940%21 Jul
dust212–12-0.0124%20 Jul
dust213–90.0710%19 Jul
cache13–10-0.0024%16 Jul
dust211–130.0225%15 Jul
dust213–50.1029%14 Jul
cache13–10-0.0021%9 Jul
cache5–13-0.0715%9 Jul
dust213–100.0219%9 Jul
dust24–13-0.0015%8 Jul
dust212–120.0319%8 Jul
dust23–6-0.020%7 Jul
dust27–13-0.0613%7 Jul
dust22–13-0.125%7 Jul
cache13–8-0.0536%7 Jul
dust25–13-0.0323%6 Jul
cache10–130.0122%6 Jul
dust27–13-0.0333%6 Jul
dust28–13-0.0018%6 Jul
cache13–100.0016%6 Jul
dust22–130.0529%6 Jul
dust23–6-0.0817%5 Jul
dust210–13-0.0113%5 Jul
cache6–13-0.0321%5 Jul
dust213–30.0722%5 Jul
dust210–13-0.0311%5 Jul
cache13–60.0821%1 Jul
cache13–70.1133%1 Jul
cache13–50.1221%1 Jul
cache9–13-0.0129%26 Jun
cache13–0-0.0412%24 Jun
cache13–7-0.0027%23 Jun
cache9–13-0.0328%23 Jun
dust213–60.0515%18 Jun
cache13–5-0.0134%17 Jun
cache1–130.0111%17 Jun
dust211–130.0520%16 Jun
cache13–10-0.0321%15 Jun
cache11–130.0027%13 Jun
cache13–11-0.0912%12 Jun
dust213–20.0232%12 Jun
dust213–10-0.0319%12 Jun
cache12–120.0027%11 Jun
dust213–90.0319%11 Jun
dust213–80.0121%10 Jun
dust213–80.0819%9 Jun
dust212–120.0228%9 Jun
dust213–100.0727%8 Jun
dust26–00.0343%5 Jun
dust213–7-0.0218%5 Jun
dust213–70.0634%4 Jun
dust213–9-0.0122%4 Jun
dust213–30.0420%3 Jun
dust213–80.0120%1 Jun
cache13–90.0519%28 May
cache13–40.039%26 May
cache13–7-0.0317%22 May
cache13–11-0.0117%21 May
cache13–40.1328%19 May
cache6–130.0837%17 May
dust213–110.1814%13 May
cache13–90.1530%12 May
cache6–130.0233%11 May
cache13–90.0231%8 May
cache13–100.0116%7 May
cache12–12-0.0530%4 May
cache13–100.0726%4 May
cache5–130.0140%2 May
cache5–130.0638%1 May
cache1–3-0.160%29 Apr
dust26–13-0.0222%28 Apr
dust29–13-0.0320%28 Apr
dust213–110.0120%28 Apr
dust27–130.0123%28 Apr
dust211–130.1419%27 Apr
dust213–60.0221%26 Apr
dust211–13-0.0121%25 Apr
dust213–11-0.0513%24 Apr
dust29–13-0.0224%24 Apr
dust22–11-0.0538%24 Apr
dust213–70.0425%24 Apr
dust212–120.0714%23 Apr
dust28–2-0.0123%23 Apr
dust213–100.0611%22 Apr
dust25–13-0.0526%22 Apr
dust212–12-0.0521%21 Apr
dust213–80.0320%21 Apr
dust213–11-0.0136%21 Apr
dust213–4-0.0417%21 Apr
dust213–110.0522%20 Apr

Match data via Leetify.

Milestones

1,000 Matches12-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →