HepCcola — CS2 Stats

76561198364671268[U:1:404405540]

273Tracked matches29%Win rate2025Tracked since
166Hours in CS
CSDB Rating1.3 Learning
WingmanSilver I
Ladder ranks via Leetify

Performance scores

Aim7
Positioning18
Utility32

0–100 skill scores via Leetify.

Recent form

COLD36586Last 10036%Win rateLLLWWLLLTL

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

Player DNA

Aim0.7
Aggression0.0
Utility3.2
Positioning1.8
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 54% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 747ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim0.7
Positioning1.8
Utility3.2
Mechanics1.5
Opening Duels0.0
Win Impact0.0

Composite 1.3/10 (Learning), 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-0.06−0.01
first ⅓ avg -0.05 → last ⅓ avg -0.06
Reaction time745ms+6ms
first ⅓ avg 739ms → last ⅓ avg 745ms
Headshot accuracy9.8%+0.5%
first ⅓ avg 9.3% → last ⅓ avg 9.8%

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

0.09Best rating — cache 13–5
131Biggest win — nuke
5Longest win streak
L3Current streak
15In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 62% over 13officeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2D2561924%-0.04
mirageB22101245%-0.05
cacheD1741324%-0.07
nukeA138562%-0.04
infernoC73443%-0.04
officeD61517%-0.04
overpassC52340%-0.09
anubis21150%-0.02
ancient21150%-0.08
train1010%-0.07

Across the last 100 tracked matches.

Lifetime stats

5,728Lifetime kills
0.68K/D
556Matches
33.6%Match win rate
33.1%Headshot %
0.1%Shot accuracy
706MVPs
166Hours (in match)
407Bombs planted
107Bombs defused

Most-used weapons

Lifetime map wins

971dust2
901inferno
480nuke
228office
91vertigo
51train
14lake
4ar_shoots

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.

10.6%Headshot accuracy
22.6%Accuracy (enemy spotted)
25.6%Spray accuracy
56.6%Counter-strafing
12.2°Preaim
747msReaction time
12.6%T opening success
10.2%CT opening success
0.43Enemies flashed / flash
2.5%Flash assists
4.06HE damage / grenade
4.88Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1583° — above the 12° mark we flag

    Aim Training
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.6306% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 746.8438ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Dust 2

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

24% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke3–12-0.016%18 Aug
nuke5–13-0.013%13 Aug
dust21–13-0.056%13 Aug
nuke7–4-0.047%11 Aug
dust213–60.0318%11 Aug
cache11–13-0.135%11 Aug
dust24–13-0.078%11 Aug
mirage6–13-0.0417%3 Aug
dust212–120.0020%30 Jul
mirage3–13-0.0226%30 Jul
dust28–13-0.0412%30 Jul
overpass13–7-0.089%30 Jul
office0–9-0.010%25 Jul
mirage0–13-0.0813%25 Jul
nuke10–13-0.1112%25 Jul
mirage3–13-0.064%24 Jul
cache12–12-0.0617%24 Jul
mirage1–9-0.0510%3 Jul
cache6–13-0.0410%17 Jun
cache4–13-0.1014%14 Jun
mirage13–8-0.045%14 Jun
cache5–13-0.1222%8 Jun
mirage13–10-0.0313%8 Jun
dust29–13-0.0711%8 Jun
nuke8–13-0.049%3 Jun
dust213–8-0.049%3 Jun
cache13–4-0.1317%3 Jun
mirage4–13-0.080%2 Jun
cache9–13-0.106%2 Jun
nuke13–4-0.114%2 Jun
nuke4–13-0.100%28 May
dust26–13-0.046%28 May
dust212–12-0.048%28 May
mirage13–20.013%28 May
inferno9–13-0.084%28 May
mirage6–13-0.076%27 May
anubis8–0-0.030%26 May
overpass13–10-0.129%26 May
nuke8–2-0.013%26 May
mirage6–13-0.0213%26 May
office8–13-0.078%24 May
dust23–13-0.0923%24 May
ancient13–5-0.0224%24 May
train0–13-0.0711%22 May
dust29–13-0.0325%22 May
cache11–13-0.0611%19 May
office11–13-0.009%18 May
cache7–13-0.0922%18 May
mirage3–13-0.1224%17 May
dust29–130.025%17 May
mirage13–6-0.0121%17 May
nuke13–10.0814%17 May
cache13–7-0.0718%17 May
dust213–5-0.0224%17 May
cache5–13-0.0213%15 May
office4–13-0.094%14 May
mirage1–9-0.068%9 May
dust213–40.0215%8 May
cache4–13-0.0819%8 May
dust211–13-0.0120%7 May
cache12–12-0.074%4 May
inferno13–9-0.052%4 May
cache2–13-0.079%4 May
cache11–13-0.1311%4 May
cache13–50.093%1 May
cache13–10-0.0513%1 May
office13–9-0.044%22 Apr
mirage13–9-0.048%21 Apr
ancient5–13-0.140%21 Apr
mirage4–3-0.120%17 Apr
dust25–13-0.0415%17 Apr
dust23–13-0.100%14 Apr
dust26–13-0.0320%7 Apr
dust212–12-0.028%6 Apr
dust24–13-0.078%2 Apr
anubis7–13-0.0112%2 Apr
dust210–13-0.0314%2 Apr
mirage3–13-0.0515%2 Apr
mirage5–13-0.068%1 Apr
dust29–13-0.1027%31 Mar
inferno3–130.0514%30 Mar
mirage13–7-0.0513%28 Mar
inferno13–6-0.050%28 Mar
nuke13–3-0.055%28 Mar
dust213–10-0.0612%28 Mar
mirage13–70.016%26 Mar
office12–12-0.048%19 Mar
inferno7–13-0.095%17 Mar
overpass9–13-0.105%16 Mar
nuke13–6-0.0313%14 Mar
mirage13–6-0.039%14 Mar
overpass10–13-0.024%7 Mar
mirage13–6-0.029%7 Mar
overpass1–7-0.1114%6 Mar
inferno7–13-0.095%5 Mar
dust213–20.0311%5 Mar
nuke13–8-0.023%5 Mar
dust22–7-0.060%3 Mar
nuke13–8-0.0527%3 Mar
inferno13–50.0411%3 Mar

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →