Sisyphus — CS2 Stats

76561198092205743[U:1:131940015]

304Tracked matches39%Win rate2020Tracked since
700Hours in CS0Hrs last 2 wks
CSDB Rating3.5 Learning
Ladder ranks via Leetify

Performance scores

Aim39
Positioning48
Utility23

0–100 skill scores via Leetify.

Recent form

COLD454411Last 10045%Win rateLLLLWLWLLL

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

Player DNA

Aim3.9
Aggression3.8
Utility2.3
Positioning4.8
Opening Duels0.5

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 74% 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

Reaction time. 628ms 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

Aim3.9
Positioning4.8
Utility2.3
Mechanics5.6
Opening Duels0.7
Win Impact1.4

Composite 3.5/10 (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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time609ms−108ms
first ⅓ avg 717ms → last ⅓ avg 609ms
Headshot accuracy14.7%−3.2%
first ⅓ avg 17.9% → last ⅓ avg 14.7%

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 — dust2 13–6
132Biggest win — overpass
5Longest win streak
L4Current streak
62In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 63% over 8ancientWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C27121544%-0.02
nukeA2011955%-0.03
ancientD123925%-0.01
cacheC114736%-0.02
anubisA85363%-0.02
overpass43175%-0.01
vertigo4040%-0.02
train440100%-0.03
mirage41325%-0.07
inferno21150%-0.07
office21150%-0.04
boulder1010%-0.06
stronghold1010%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,423Lifetime kills
0.79K/D
1,235Matches
34.3%Match win rate
40.4%Headshot %
12.4%Shot accuracy · Top 50% of tracked players
1,492MVPs
403Hours (in match)
1,276Bombs planted
159Bombs defused

Most-used weapons

Lifetime map wins

4,922dust2
621nuke
441inferno
299vertigo
191train
97office
29cbble
28lake

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.

14.5%Headshot accuracy
27.3%Accuracy (enemy spotted)
28.3%Spray accuracy
75.4%Counter-strafing
10.1°Preaim
628msReaction time
28.0%T opening success
35.8%CT opening success
0.49Enemies flashed / flash
0.0%Flash assists
9.72HE damage / grenade
1.31Flashes / 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 14.483% — below the 15% mark we flag

    Aim Training
  2. 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 0.4909 — below the 0.5 mark we flag

    Grenade Lineups
  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 28.0221% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0526%22 Aug
dust27–13-0.067%31 Jul
ancient8–130.0016%28 Jul
dust25–13-0.017%28 Jul
anubis13–11-0.0510%18 Jul
ancient7–13-0.0412%18 Jul
dust213–6-0.0215%18 Jul
nuke3–13-0.0218%17 Jul
anubis7–13-0.104%16 Jul
ancient7–13-0.019%15 Jul
cache8–13-0.0714%15 Jul
anubis13–80.0210%15 Jul
cache6–13-0.0913%14 Jul
dust212–120.0021%14 Jul
ancient6–13-0.0419%14 Jul
cache13–100.0225%13 Jul
dust28–13-0.0415%13 Jul
overpass9–13-0.0217%12 Jul
nuke13–7-0.038%11 Jul
boulder10–13-0.0626%11 Jul
dust213–4-0.0217%11 Jul
cache13–3-0.0115%10 Jul
anubis2–1-0.110%10 Jul
overpass13–3-0.0219%10 Jul
dust212–120.0221%8 Jul
vertigo4–130.0318%29 May
dust21–13-0.089%26 May
dust27–13-0.0114%25 May
train13–9-0.066%25 May
dust213–9-0.068%24 May
cache7–13-0.0613%24 May
cache13–40.0928%23 May
anubis12–120.0123%23 May
anubis6–130.0014%17 May
stronghold7–13-0.0917%17 May
dust211–13-0.0417%16 May
ancient12–12-0.0015%16 May
dust25–13-0.0433%8 May
cache5–13-0.0523%8 May
mirage2–13-0.0917%3 May
ancient13–7-0.0510%3 May
cache13–11-0.0010%3 May
dust23–13-0.0625%3 May
nuke12–12-0.0211%3 May
cache5–13-0.0316%2 May
dust29–13-0.0513%1 May
cache4–130.0018%1 May
cache7–130.0013%30 Apr
vertigo11–13-0.038%21 Dec
vertigo12–12-0.0121%20 Dec
ancient13–80.0111%20 Dec
overpass13–30.0128%20 Dec
train13–80.0218%18 Dec
nuke13–11-0.0713%18 Dec
mirage3–13-0.057%17 Dec
ancient0–13-0.060%16 Dec
nuke13–8-0.0114%16 Dec
dust213–10-0.028%14 Dec
nuke9–2-0.0111%14 Dec
overpass13–2-0.0210%14 Dec
dust213–30.0119%14 Dec
inferno4–13-0.1111%14 Dec
vertigo12–12-0.0727%12 Dec
nuke8–13-0.107%12 Dec
dust23–13-0.0735%10 Dec
nuke2–13-0.084%10 Dec
dust213–11-0.0711%8 Dec
mirage10–13-0.0724%8 Dec
dust213–90.0721%8 Dec
dust213–60.0410%7 Dec
train13–10-0.056%7 Dec
dust213–7-0.0113%7 Dec
nuke13–100.0516%7 Dec
dust24–13-0.0321%7 Dec
nuke13–6-0.0613%6 Dec
office3–13-0.0619%6 Dec
train13–9-0.0217%5 Dec
nuke4–13-0.1011%1 Dec
nuke8–13-0.0418%30 Nov
nuke13–9-0.0418%30 Nov
dust213–60.0921%30 Nov
nuke13–11-0.0016%30 Nov
nuke12–12-0.0227%29 Nov
dust212–12-0.047%29 Nov
nuke13–10-0.0615%29 Nov
anubis13–90.0217%29 Nov
inferno13–3-0.0314%29 Nov
ancient6–13-0.0120%29 Nov
ancient13–60.0318%26 Nov
dust213–9-0.0119%26 Nov
mirage13–9-0.0616%25 Nov
office13–6-0.0221%25 Nov
nuke16–13-0.0225%25 Nov
ancient12–12-0.0024%24 Nov
dust24–13-0.0525%24 Nov
ancient12–120.0112%23 Nov
nuke2–13-0.0310%22 Nov
dust213–90.0526%22 Nov
nuke5–00.0736%22 Nov
anubis13–90.0916%22 Nov

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 →