Semptomatic — CS2 Stats

76561197998528510[U:1:38262782]

1,443Tracked matches18%Win rate2020Tracked since
5,543Hours in CS10Hrs last 2 wks
CSDB Rating3.0 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSemptomaticFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim36
Positioning28
Utility13

0–100 skill scores via Leetify.

Recent form

COLD365410Last 10036%Win rateWLLLLLLTLL

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

Player DNA

Aim3.6
Aggression2.8
Utility1.3
Positioning2.8
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 64% 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. 758ms 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

Aim3.6
Positioning2.8
Utility1.3
Mechanics7.4
Opening Duels0.1
Win Impact0.0

Composite 3.0/10 (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+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time764ms−28ms
first ⅓ avg 793ms → last ⅓ avg 764ms
Headshot accuracy18.0%+2.6%
first ⅓ avg 15.4% → last ⅓ avg 18.0%

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 — cache 13–3
130Biggest win — inferno
4Longest win streak
26In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 57% over 7ancientWeakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
dust2D1741324%-0.04
nukeD1641225%-0.04
mirageB158753%-0.04
ancientD1321115%-0.04
infernoC114736%-0.02
cacheA116555%-0.01
anubisA74357%-0.01
trainB63350%-0.03
overpass21150%0.02
warden1010%-0.05
vertigo1010%-0.05

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

176,689Lifetime kills
0.93K/D
11,435Matches
40.0%Match win rate
36.2%Headshot %
20.6%Shot accuracy · Top 5% of tracked players
21,575MVPs
3,625Hours (in match)
4,674Bombs planted
1,515Bombs defused

Most-used weapons

AK-4756,689
AWP11,922
MP76,313
SSG 085,684
P2505,108

Lifetime map wins

11,180inferno
8,009dust2
5,276nuke
3,667train
3,073vertigo
1,763cbble
1,532office
682italy

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

Faceit stats

Combat

155Matches
46%Win rate
0.70Avg K/D
ADR
37%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWL

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.

16.5%Headshot accuracy
26.8%Accuracy (enemy spotted)
29.3%Spray accuracy
83.3%Counter-strafing
9.8°Preaim
758msReaction time
30.6%T opening success
17.4%CT opening success
0.12Enemies flashed / flash
0.0%Flash assists
11.87HE damage / grenade
0.31Flashes / 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 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 758.1728ms — above the 700ms 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 0.1215 — 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 30.5591% — 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.

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–5-0.0216%26 Aug
mirage0–13-0.087%23 Aug
mirage1–10.0350%23 Aug
dust24–13-0.0215%23 Aug
inferno11–13-0.0318%23 Aug
dust24–13-0.0619%23 Aug
cache1–13-0.0228%23 Aug
mirage12–12-0.0311%8 Aug
ancient2–13-0.0221%7 Aug
cache8–13-0.0415%1 Aug
mirage13–9-0.0411%1 Aug
ancient3–13-0.1015%1 Aug
ancient5–13-0.1110%28 Jul
dust27–13-0.0216%28 Jul
train2–13-0.0733%28 Jul
inferno7–13-0.0210%28 Jul
mirage9–13-0.0513%27 Jul
ancient13–8-0.0118%25 Jul
mirage12–12-0.0617%25 Jul
dust29–13-0.0516%25 Jul
anubis13–9-0.0512%24 Jul
cache5–13-0.0415%24 Jul
nuke4–13-0.0515%23 Jul
inferno7–13-0.0910%23 Jul
train13–4-0.0225%23 Jul
dust29–13-0.0620%23 Jul
ancient6–13-0.1218%15 Jul
inferno7–130.0515%5 Jul
ancient11–130.0117%5 Jul
dust210–130.0625%5 Jul
mirage13–20.0729%30 Jun
nuke13–80.0119%30 Jun
cache8–13-0.0117%30 Jun
train13–6-0.0110%29 Jun
dust26–13-0.0221%29 Jun
dust210–13-0.0214%29 Jun
ancient6–13-0.0512%29 Jun
inferno13–30.0515%28 Jun
cache13–10-0.0510%2 Jun
train7–13-0.0418%2 Jun
dust213–9-0.0215%1 Jun
nuke5–13-0.0313%1 Jun
ancient6–13-0.060%12 May
cache11–20.0530%12 May
dust29–5-0.089%12 May
nuke13–6-0.0615%12 May
mirage5–3-0.1220%11 May
nuke6–13-0.006%2 May
cache13–30.0814%2 May
cache13–100.0112%2 May
cache13–4-0.0226%2 May
cache3–13-0.0610%2 May
cache13–20.0416%1 May
mirage4–13-0.0610%1 May
nuke8–13-0.0517%16 Apr
anubis13–5-0.0212%16 Apr
nuke5–13-0.065%7 Apr
inferno12–12-0.0224%7 Apr
anubis11–13-0.029%6 Apr
mirage13–5-0.0536%6 Apr
inferno13–11-0.0623%15 Mar
nuke12–12-0.028%15 Mar
dust26–13-0.0322%15 Mar
nuke5–13-0.0418%9 Mar
overpass6–13-0.0113%9 Mar
ancient12–120.0116%8 Mar
dust29–20.0333%8 Mar
inferno13–8-0.0023%8 Mar
mirage13–70.0118%8 Mar
nuke9–13-0.0812%7 Mar
overpass6–00.0525%7 Mar
anubis10–13-0.0116%7 Mar
inferno13–0-0.0222%7 Mar
mirage13–10-0.029%7 Mar
dust29–13-0.0817%7 Mar
nuke13–6-0.069%7 Mar
anubis12–12-0.0211%7 Mar
dust27–13-0.1015%7 Mar
train12–12-0.0214%7 Mar
mirage6–13-0.0915%7 Mar
nuke7–13-0.0715%7 Mar
dust27–13-0.135%7 Mar
ancient10–30.0724%4 Mar
nuke12–12-0.0316%4 Mar
dust213–7-0.0310%4 Mar
nuke2–130.0315%3 Mar
warden7–13-0.0521%3 Mar
inferno11–13-0.043%3 Mar
ancient4–13-0.0017%2 Mar
ancient12–12-0.095%2 Mar
dust212–12-0.0710%2 Mar
anubis13–80.0311%1 Mar
nuke13–9-0.079%1 Mar
train13–6-0.0316%1 Mar
ancient2–13-0.0425%1 Mar
vertigo11–13-0.0526%1 Mar
inferno3–13-0.0116%1 Mar
anubis13–9-0.0028%1 Mar
mirage13–8-0.0915%1 Mar
nuke10–13-0.0714%28 Feb

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 →