Suspp69696

Suspp69696 — CS2 Stats

76561198138394372[U:1:178128644]Steam profile ↗

70Tracked matches23%Win rate2026Tracked since
173Hours in CS7Hrs last 2 wks
CSDB Rating2.1 Learning
Ladder ranks via Leetify

Performance scores

Aim21
Positioning31
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY19501Last 7027%Win rateLLLWWLLWWL

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

Player DNA

Aim2.1
Aggression2.0
Utility1.6
Positioning3.1
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 61% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Reaction time. 718ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim2.1
Positioning3.1
Utility1.6
Mechanics4.2
Opening Duels0.0
Win Impact0.0

Composite 2.1/10 (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-0.01+0.05
first ⅓ avg -0.07 → last ⅓ avg -0.01
Reaction time702ms−21ms
first ⅓ avg 723ms → last ⅓ avg 702ms
Headshot accuracy11.0%−0.5%
first ⅓ avg 11.5% → last ⅓ avg 11.0%

Rolling 5-match average across the last 70 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.12Best rating — dust2 13–3
132Biggest win — dust2
3Longest win streak
L3Current streak
27In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 32% over 28infernoWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
dust2D2891932%-0.02
infernoD1631319%-0.04
mirageD113827%-0.02
ancientD51420%-0.07
cache4040%-0.07
nuke330100%-0.02
vertigo2020%-0.02
fachwerk1010%-0.03

Across the last 70 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

3,842Lifetime kills
0.69K/D
347Matches
29.4%Match win rate
38.0%Headshot %
1.5%Shot accuracy
223MVPs
94Hours (in match)
110Bombs planted
29Bombs defused

Most-used weapons

Lifetime map wins

763dust2
270inferno
171vertigo
19nuke
9bank
6italy
4safehouse
2train

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.

12.3%Headshot accuracy
30.4%Accuracy (enemy spotted)
29.2%Spray accuracy
69.1%Counter-strafing
12.6°Preaim
718msReaction time
19.4%T opening success
28.0%CT opening success
0.29Enemies flashed / flash
0.5%Flash assists
5.33HE damage / grenade
3.46Flashes / 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 12.6219° — 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 12.2998% — 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 718.3693ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Inferno

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

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.067%23 Aug
inferno9–130.099%18 Aug
cache8–13-0.0112%18 Aug
nuke13–50.0324%17 Aug
mirage11–20.010%17 Aug
ancient8–13-0.055%16 Aug
mirage11–13-0.0213%16 Aug
inferno13–10-0.0313%16 Aug
dust213–60.1112%12 Aug
dust23–13-0.0811%11 Aug
dust28–130.0111%11 Aug
cache7–13-0.0618%9 Aug
nuke13–4-0.056%9 Aug
dust213–2-0.047%9 Aug
ancient9–13-0.026%8 Aug
mirage3–13-0.0311%7 Aug
dust21–13-0.0310%7 Aug
dust20–13-0.148%7 Aug
dust211–130.1114%7 Aug
dust213–30.1220%7 Aug
dust22–13-0.0614%3 Aug
inferno9–13-0.0715%28 Jul
vertigo11–130.017%27 Jul
inferno1–130.0015%27 Jul
dust24–13-0.0217%27 Jul
mirage6–13-0.024%26 Jul
mirage6–13-0.0321%26 Jul
dust211–130.0019%26 Jul
inferno4–13-0.0225%26 Jul
dust26–130.0013%20 Jul
dust23–130.0416%20 Jul
dust213–11-0.0410%19 Jul
dust23–130.0234%19 Jul
dust26–13-0.0219%19 Jul
dust24–130.0514%19 Jul
dust213–80.0226%14 Jul
dust23–13-0.0213%14 Jul
fachwerk6–13-0.0317%14 Jul
dust213–8-0.048%11 Jul
dust26–13-0.0725%8 Jul
ancient9–13-0.077%8 Jul
mirage11–130.0310%8 Jul
inferno5–9-0.016%8 Jul
inferno7–9-0.1017%8 Jul
inferno9–4-0.015%8 Jul
dust25–13-0.0612%1 Jul
cache9–13-0.0511%1 Jul
inferno7–13-0.117%29 Jun
inferno10–13-0.0615%28 Jun
dust25–13-0.1412%28 Jun
mirage2–13-0.108%28 Jun
inferno2–9-0.1310%28 Jun
inferno2–9-0.1122%22 Jun
mirage5–13-0.0420%22 Jun
inferno7–9-0.045%17 Jun
inferno8–80.0021%17 Jun
inferno9–50.0411%17 Jun
dust28–13-0.0817%8 Jun
nuke13–7-0.056%8 Jun
dust21–13-0.0610%8 Jun
ancient1–13-0.154%5 Jun
cache6–13-0.1417%5 Jun
dust213–11-0.078%4 Jun
ancient13–6-0.0613%4 Jun
mirage13–40.0418%4 Jun
vertigo5–13-0.057%19 May
inferno8–13-0.052%18 May
dust213–9-0.0317%18 May
dust213–8-0.0810%12 May
mirage8–1-0.036%11 May

Match data via Leetify.

Recent teammates

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