slugh! — CS2 Stats

76561199070601787[U:1:1110336059]✓ No bans

83Tracked matches42%Win rate2021Tracked since
331Hours in CS0Hrs last 2 wks
CSDB Rating1.9 Learning
WingmanSilver II
Ladder ranks via Leetify

Performance scores

Aim13
Positioning42
Utility5

0–100 skill scores via Leetify.

Recent form

STEADY33436Last 8240%Win rateWWWTLLWLLW

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

Player DNA

Aim1.3
Aggression3.3
Utility0.5
Positioning4.2
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 62% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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

CT openings. Opening success drops from 38% on T to 19% on CT — first contacts on the defending side are being lost.

Reaction time. 764ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% 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

Aim1.3
Positioning4.2
Utility0.5
Mechanics1.7
Opening Duels1.0
Win Impact2.4

Composite 1.9/10 (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-0.03+0.03
first ⅓ avg -0.06 → last ⅓ avg -0.03
Reaction time769ms+32ms
first ⅓ avg 737ms → last ⅓ avg 769ms
Headshot accuracy13.5%+4.6%
first ⅓ avg 8.9% → last ⅓ avg 13.5%

Rolling 5-match average across the last 82 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.13Best rating — nuke 9–4
133Biggest win — dust2
4Longest win streak
W3Current streak
75In matches decided by ≤2 rounds
5Overtime games

Map breakdown

vertigoBest map · 86% over 7dust2Weakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
nukeC1971237%-0.06
infernoD102820%-0.08
anubisS96367%-0.02
mirageC83538%-0.07
vertigoS76186%-0.01
ancientD72529%-0.05
dust2D61517%-0.03
trainB63350%-0.04
overpass3030%-0.07
debris21150%0.03
cache2020%-0.07
office21150%-0.02
poseidon110100%0.02

Across the last 82 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,489Lifetime kills
1.08K/D · Top 50% of tracked players
700Matches
31.4%Match win rate
26.2%Headshot %
19.5%Shot accuracy · Top 5% of tracked players
578MVPs
167Hours (in match)
299Bombs planted
63Bombs defused

Most-used weapons

Lifetime map wins

355vertigo
289nuke
173inferno
169dust2
152train
142cbble
62office
50safehouse

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.

13.3%Headshot accuracy
27.6%Accuracy (enemy spotted)
23.8%Spray accuracy
57.8%Counter-strafing
10.4°Preaim
764msReaction time
38.1%T opening success
19.5%CT opening success
0.10Enemies flashed / flash
1.7%Flash assists
4.33HE damage / grenade
0.60Flashes / 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. 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 13.2613% — below the 15% mark we flag

    Aim Training
  2. 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 764.2126ms — above the 700ms mark we flag

    Aim Training
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.0986 — below the 0.5 mark we flag

    Grenade Lineups
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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo9–30.038%9 Aug
poseidon9–50.0210%9 Aug
debris9–20.1212%9 Aug
inferno8–8-0.119%9 Aug
dust26–13-0.0312%6 Aug
dust213–16-0.0121%4 Aug
nuke9–4-0.1420%4 Aug
nuke0–9-0.1411%4 Aug
anubis6–13-0.109%3 Aug
nuke9–40.0822%3 Aug
debris7–9-0.0512%3 Aug
nuke2–13-0.070%31 Jul
vertigo9–7-0.1216%31 Jul
nuke9–40.1314%31 Jul
nuke1–9-0.1914%31 Jul
inferno9–7-0.0317%31 Jul
inferno7–9-0.074%31 Jul
dust213–30.028%30 Jul
vertigo13–7-0.0310%29 Jul
vertigo13–40.0226%29 Jul
vertigo13–3-0.0314%29 Jul
vertigo10–13-0.0114%29 Jul
nuke4–13-0.0610%28 Jul
anubis12–12-0.074%25 Jul
anubis10–40.0950%24 Jul
anubis13–110.029%23 Jul
ancient4–13-0.027%8 Jul
inferno12–12-0.0140%7 Jul
vertigo9–70.097%7 Jul
cache7–13-0.0814%6 Jul
cache11–13-0.0510%6 Jul
mirage1–13-0.148%6 Jul
nuke2–13-0.100%30 Jun
ancient13–11-0.027%29 Jun
inferno1–9-0.2421%29 Jun
inferno5–9-0.1319%29 Jun
anubis13–100.0013%23 Apr
mirage13–10-0.0211%23 Apr
nuke13–7-0.0311%22 Apr
train13–9-0.0115%22 Apr
train9–13-0.0716%22 Apr
nuke0–13-0.1017%18 Apr
ancient10–13-0.0015%18 Apr
nuke6–13-0.0523%24 Mar
office12–120.000%24 Mar
nuke15–15-0.0715%6 Mar
inferno2–9-0.130%6 Mar
nuke13–8-0.0621%4 Mar
mirage9–13-0.0414%4 Mar
mirage16–13-0.0614%2 Mar
anubis13–4-0.045%5 Feb
anubis13–9-0.017%4 Feb
mirage11–13-0.1014%27 Jan
anubis9–13-0.0619%27 Jan
inferno9–50.0925%26 Jan
dust211–13-0.044%25 Jan
anubis10–1-0.040%25 Jan
office13–5-0.045%25 Jan
mirage10–13-0.078%10 Dec
train7–7-0.065%3 Dec
ancient2–13-0.1317%3 Dec
dust24–13-0.099%8 Oct
nuke8–13-0.1023%7 Oct
train13–16-0.037%6 Oct
mirage13–7-0.086%6 Oct
inferno5–13-0.0910%6 Oct
overpass4–13-0.0316%6 Oct
overpass12–12-0.0910%24 Sept
mirage3–13-0.0811%24 Sept
overpass10–13-0.094%24 Sept
ancient13–60.006%23 Sept
nuke13–50.0210%23 Sept
ancient10–13-0.068%15 Sept
train16–13-0.0611%5 Sept
nuke6–13-0.088%20 Aug
nuke13–11-0.0110%19 Aug
inferno2–13-0.0710%19 Aug
nuke7–13-0.0814%15 Aug
ancient4–13-0.0811%6 Jul
nuke2–13-0.128%6 Jul
train8–110.000%6 Jul
dust26–9-0.069%26 Sept

Match data via Leetify.

Recent teammates

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