slowmind — CS2 Stats

76561198261313857[U:1:301048129]✓ No bans

309Tracked matches39%Win rate2020Tracked since
1,778Hours in CS0Hrs last 2 wks
CSDB Rating3.7 Learning
Ladder ranks via Leetify

Performance scores

Aim38
Positioning36
Utility65

0–100 skill scores via Leetify.

Recent form

COLD45514Last 10045%Win rateLLLWWLLLLW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Aim3.8
Aggression2.6
Utility6.5
Positioning3.6
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 75% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Reaction time. 705ms 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

Aim3.8
Positioning3.6
Utility6.5
Mechanics4.8
Opening Duels0.4
Win Impact1.4

Composite 3.7/10 (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-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time692ms+22ms
first ⅓ avg 670ms → last ⅓ avg 692ms
Headshot accuracy13.5%−0.8%
first ⅓ avg 14.3% → last ⅓ avg 13.5%

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

0.15Best rating — nuke 13–4
133Biggest win — mirage
5Longest win streak
L3Current streak
313In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 83% over 6cacheWeakest map · 35% over 26
MapGradePlayedRecordWin rateAvg rating
nukeC32141844%0.01
cacheC2691735%-0.02
infernoB137654%0.01
trainC94544%-0.02
anubisS65183%-0.03
mirageS64267%-0.01
ancientC52340%-0.02
dust22020%-0.08
overpass1010%0.02

Across the last 100 tracked matches.

Lifetime stats

51,334Lifetime kills
0.91K/D
2,743Matches
34.6%Match win rate
28.8%Headshot %
13.9%Shot accuracy · Top 50% of tracked players
3,980MVPs
1,417Hours (in match)
2,407Bombs planted
452Bombs defused

Most-used weapons

AK-4710,972
AWP5,520
Knife5,003
MAC-102,853
MP92,788
FAMAS1,085
P90943

Lifetime map wins

4,424inferno
3,835nuke
2,393dust2
476train
296vertigo
176italy
79cbble
75office

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

Faceit stats

Combat

15Matches
53%Win rate
0.93Avg K/D
ADR
29%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLWW

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.

13.4%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.3%Spray accuracy
71.7%Counter-strafing
11.2°Preaim
705msReaction time
19.2%T opening success
33.5%CT opening success
0.54Enemies flashed / flash
5.7%Flash assists
10.16HE damage / grenade
12.19Flashes / 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 13.368% — 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 704.6785ms — above the 700ms mark we flag

    Aim Training
  3. 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 19.1745% — below the 40% mark we flag

Spend your practice time on Cache

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

35% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache1–13-0.098%6 Aug
cache6–13-0.079%6 Aug
cache7–13-0.0211%6 Aug
anubis13–10-0.0214%25 Jul
inferno13–100.0322%24 Jul
cache3–13-0.074%24 Jul
inferno8–13-0.0412%22 Jul
cache3–13-0.0413%22 Jul
cache8–130.0328%22 Jul
cache13–80.019%21 Jul
cache11–130.0112%21 Jul
cache11–13-0.0020%21 Jul
cache5–13-0.0125%20 Jul
cache12–12-0.0412%19 Jul
cache13–50.0820%19 Jul
cache6–13-0.0117%19 Jul
cache13–7-0.0410%19 Jul
cache13–5-0.034%19 Jul
cache13–11-0.0412%16 Jul
cache11–13-0.048%16 Jul
cache13–50.0520%12 Jul
cache13–70.0010%12 Jul
cache8–13-0.054%9 Jul
cache13–8-0.0515%9 Jul
cache10–13-0.0222%9 Jul
cache7–130.0015%9 Jul
cache10–13-0.0215%5 Jul
cache12–12-0.0111%5 Jul
cache13–10-0.075%5 Jul
inferno11–13-0.0211%3 Apr
ancient13–10-0.0210%3 Apr
mirage13–6-0.0419%3 Mar
inferno13–40.0319%2 Nov
inferno13–16-0.039%2 Nov
mirage11–13-0.0112%26 Oct
train4–13-0.037%13 Sept
train4–13-0.0315%13 Sept
nuke13–11-0.0211%25 Jul
overpass4–60.026%16 Jul
train10–13-0.0012%16 Jul
nuke9–13-0.0012%4 Jul
mirage13–3-0.019%4 Jul
train13–7-0.0313%4 Jul
anubis13–10-0.0711%25 Jun
ancient11–13-0.0210%25 Jun
dust211–13-0.0414%29 May
mirage8–2-0.020%18 Feb
inferno13–10-0.0115%17 Jan
nuke12–120.0718%13 Jan
train13–9-0.0113%12 Jan
inferno13–60.0723%27 Dec
inferno13–50.046%27 Dec
inferno13–6-0.0314%23 Dec
train13–70.037%9 Dec
train8–13-0.0315%8 Dec
train13–60.0314%7 Dec
inferno13–100.019%26 Nov
train6–13-0.0714%14 Nov
mirage5–13-0.0616%8 Nov
ancient5–13-0.0418%8 Nov
anubis13–5-0.0113%6 Nov
nuke9–13-0.1018%16 Oct
dust21–13-0.1218%16 Oct
nuke13–10-0.0111%16 Oct
anubis9–13-0.0525%12 Oct
anubis13–4-0.0122%12 Oct
nuke11–13-0.0221%4 Oct
mirage13–30.078%4 Oct
nuke13–90.0215%14 Sept
inferno2–13-0.0414%13 Sept
inferno9–130.1012%9 Sept
nuke11–130.026%6 Aug
inferno4–13-0.0117%20 Jul
ancient13–30.0411%15 Jul
ancient4–13-0.0413%15 Jul
nuke8–13-0.0111%23 Jun
nuke13–6-0.0113%23 Jun
nuke11–13-0.0613%22 Jun
nuke3–130.0115%18 Jun
nuke13–7-0.019%8 Jun
nuke12–120.039%6 Jun
nuke13–110.0610%3 Jun
nuke13–50.0210%2 Jun
anubis13–4-0.0119%31 May
nuke5–00.0718%26 Apr
nuke13–80.0234%25 Apr
nuke1–4-0.0418%4 Apr
nuke11–130.026%28 Mar
nuke11–130.0811%27 Mar
nuke9–13-0.059%25 Mar
nuke13–30.0614%24 Mar
nuke10–20.0529%24 Mar
nuke13–50.0417%22 Mar
nuke1–13-0.0525%16 Mar
nuke13–40.1519%23 Feb
nuke9–13-0.0021%21 Feb
nuke13–70.0911%18 Feb
nuke6–13-0.0212%14 Feb
nuke2–13-0.0417%12 Feb
nuke0–13-0.084%12 Feb

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 →