sutlou — CS2 Stats

76561198228797332[U:1:268531604]

1,076Tracked matches28%Win rate2020Tracked since
CSDB Rating3.7 Learning
Ladder ranks via Leetify

Performance scores

Aim34
Positioning41
Utility56

0–100 skill scores via Leetify.

Recent form

COLD38566Last 10038%Win rateLLLLTLLLWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim3.4
Aggression5.3
Utility5.6
Positioning4.1
Opening Duels1.0
Clutch0.0

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 80% 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 691ms 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

Aim3.4
Positioning4.1
Utility5.6
Mechanics5.8
Opening Duels1.3
Win Impact0.0

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-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time695ms+24ms
first ⅓ avg 670ms → last ⅓ avg 695ms
Headshot accuracy20.5%−0.2%
first ⅓ avg 20.7% → last ⅓ avg 20.5%

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

0.08Best rating — dust2 13–3
130Biggest win — cache
3Longest win streak
L4Current streak
108In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 53% over 15cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC2491538%-0.03
nukeB158753%-0.01
anubisD134931%-0.03
ancientC104640%-0.02
dust2B105550%-0.00
overpassC94544%-0.04
mirageD62433%-0.03
cacheD61517%0.01
agency2020%-0.08
vertigo21150%-0.04
alpine1010%-0.05
train1010%-0.11
italy1010%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

567Matches
50%Win rate
0.92Avg K/D
63.2ADR
51%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.295.0
Inferno1100%0.7112.0
Anubis10%0.6712.0
Ancient10%0.8917.0

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.

20.5%Headshot accuracy
27.9%Accuracy (enemy spotted)
28.4%Spray accuracy
76.0%Counter-strafing
12.5°Preaim
691msReaction time
27.1%T opening success
40.5%CT opening success
0.76Enemies flashed / flash
5.8%Flash assists
9.34HE damage / grenade
5.95Flashes / 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 12.5411° — above the 12° mark we flag

    Aim Training
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.

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

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.1019%22 Aug
mirage4–13-0.1014%22 Aug
cache10–130.0438%20 Aug
cache7–13-0.0617%15 Aug
overpass12–12-0.0214%15 Aug
nuke6–13-0.0723%11 May
cache11–130.0610%5 May
inferno9–13-0.0022%4 May
nuke13–6-0.0330%1 May
cache13–0-0.0113%1 May
cache11–13-0.0126%1 May
cache10–130.0233%29 Apr
nuke7–90.0216%29 Apr
overpass7–13-0.0724%19 Apr
anubis5–13-0.0722%19 Apr
inferno13–10.0226%11 Apr
nuke13–11-0.0229%5 Apr
anubis9–130.0517%4 Apr
anubis13–11-0.0912%4 Apr
anubis13–6-0.0429%3 Apr
nuke11–13-0.069%3 Apr
overpass13–80.0322%30 Mar
ancient1–13-0.070%29 Mar
overpass5–13-0.0318%29 Mar
alpine8–13-0.0515%21 Mar
anubis10–13-0.0414%21 Mar
dust29–13-0.0124%11 Jan
inferno4–13-0.0131%1 Jan
overpass13–8-0.0420%1 Jan
nuke4–13-0.0222%1 Jan
overpass10–13-0.0719%27 Dec
dust27–13-0.0814%27 Dec
inferno6–13-0.0435%27 Dec
overpass6–13-0.0619%27 Dec
inferno9–13-0.0323%21 Dec
ancient14–16-0.0316%21 Dec
mirage16–14-0.0618%21 Dec
train2–13-0.1113%20 Dec
nuke16–140.0524%20 Dec
ancient2–13-0.0819%20 Dec
inferno13–60.0239%20 Dec
overpass16–14-0.0227%20 Dec
italy4–13-0.0625%22 Nov
inferno13–6-0.0831%22 Nov
agency6–13-0.0814%12 Oct
nuke12–12-0.0322%16 Aug
inferno13–10-0.0420%16 Aug
dust213–30.0826%16 Aug
mirage9–13-0.099%16 Aug
overpass13–4-0.0322%9 Aug
vertigo12–12-0.0411%9 Aug
dust213–3-0.0411%9 Aug
mirage13–10.0521%9 Aug
agency6–13-0.096%31 Jul
inferno10–13-0.0415%31 Jul
inferno16–130.0515%18 Apr
inferno16–14-0.0317%12 Apr
anubis6–130.0218%12 Apr
inferno11–13-0.0030%6 Apr
anubis10–13-0.0510%29 Mar
inferno13–11-0.0112%29 Mar
nuke13–110.0323%28 Mar
anubis5–130.0129%28 Mar
ancient7–13-0.0124%22 Mar
ancient13–8-0.0320%22 Mar
inferno4–130.0031%22 Mar
mirage12–12-0.0215%21 Mar
inferno3–13-0.0715%21 Mar
dust213–30.0728%21 Mar
inferno10–13-0.0119%15 Mar
dust213–90.0226%15 Mar
nuke13–60.0327%15 Mar
dust25–13-0.0524%15 Mar
nuke13–8-0.0329%7 Mar
inferno9–13-0.0020%7 Mar
ancient13–80.0229%7 Mar
mirage6–130.0124%7 Mar
anubis15–15-0.0327%5 Mar
inferno5–13-0.0419%4 Mar
nuke13–7-0.0420%4 Mar
ancient15–15-0.0211%3 Mar
inferno13–50.049%3 Mar
ancient16–140.0520%1 Mar
inferno3–13-0.0723%1 Mar
ancient14–16-0.0318%1 Mar
dust26–13-0.0228%1 Mar
ancient13–50.0119%1 Mar
dust29–130.0225%1 Mar
inferno13–5-0.0621%26 Feb
anubis13–90.0217%26 Feb
nuke13–6-0.0221%23 Feb
anubis11–13-0.0512%23 Feb
vertigo13–11-0.0418%22 Feb
nuke4–13-0.0417%22 Feb
anubis13–9-0.0122%9 Feb
dust213–9-0.0317%19 Jan
anubis2–13-0.0524%2 Jan
inferno4–13-0.0727%27 Dec
nuke9–130.0015%27 Dec
inferno4–13-0.0910%26 Dec

Match data via Leetify.

Recent teammates

Milestones

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