SeTh@Dead PiXeL — CS2 Stats

76561197992080269[U:1:31814541]✓ No bans

2,091Tracked matches48%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
Premier CS Rating19,937Purple band · top ~8.7% of ranked players (population est.)
CSDB Leaderboard#10307 of 23656 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSeTh@Dead PiXeLFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER19,937 · Purple bandcsdb.gg/stats

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Performance scores

Aim55
Positioning48
Utility71

0–100 skill scores via Leetify.

Recent form

COLD46531Last 10046%Win rateTWLLLLLLWL

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim5.5
Aggression4.3
Utility7.1
Positioning4.8
Opening Duels0.5
Clutch4.2

Strong CT-side opener

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 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 41% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim5.5
Positioning4.8
Utility7.1
Mechanics6.3
Opening Duels1.4
Win Impact4.4

Composite 5.2/10 (Developing), 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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time635ms+16ms
first ⅓ avg 619ms → last ⅓ avg 635ms
Headshot accuracy15.9%+1.3%
first ⅓ avg 14.6% → last ⅓ avg 15.9%

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

0.12Best rating — cache 13–9
132Biggest win — dust2
6Longest win streak
95In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 64% over 14ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoC30131743%-0.01
dust2C27111641%-0.02
cacheB158753%0.01
nukeA149564%-0.01
ancientD71614%-0.02
anubis43175%-0.01
train1010%-0.06
mirage110100%0.00
overpass1010%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,589Matches
50%Win rate
0.92Avg K/D
80.1ADR
40%Headshot %

Clutches & streaks

41%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno20062%1.1315.8
Ancient14748%0.9515.5
Anubis11141%0.9415.5
Dust29743%0.9214.5
Overpass2245%0.9515.2
Vertigo2025%0.8713.6
Mirage2055%0.9213.7
Nuke1735%0.8013.7

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.

15.8%Headshot accuracy
35.1%Accuracy (enemy spotted)
34.4%Spray accuracy
78.2%Counter-strafing
12.0°Preaim
616msReaction time
23.2%T opening success
40.8%CT opening success
0.68Enemies flashed / flash
12.1%Flash assists
9.23HE damage / grenade
11.78Flashes / 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

    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 23.2004% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache15–150.0617%7 Aug
inferno13–30.0215%7 Aug
cache8–13-0.0318%7 Aug
dust26–13-0.0426%7 Aug
dust214–16-0.0412%4 Aug
inferno12–160.0215%4 Aug
inferno10–130.0114%3 Aug
inferno1–13-0.0612%3 Aug
nuke13–110.0124%2 Aug
dust211–13-0.0117%2 Aug
cache9–13-0.0219%2 Aug
inferno16–14-0.0313%30 Jul
cache13–8-0.0013%30 Jul
ancient13–40.0618%30 Jul
nuke6–13-0.088%29 Jul
dust23–0-0.020%29 Jul
dust213–40.0120%29 Jul
inferno9–130.0115%29 Jul
inferno13–6-0.0424%27 Jul
dust211–13-0.059%27 Jul
nuke9–13-0.0415%27 Jul
inferno13–8-0.0110%25 Jul
dust210–13-0.0419%25 Jul
cache13–10-0.0420%25 Jul
dust213–60.0630%24 Jul
cache8–13-0.0012%24 Jul
inferno13–80.0320%24 Jul
ancient8–13-0.038%24 Jul
dust213–11-0.046%24 Jul
nuke13–7-0.0120%22 Jul
cache13–60.0116%22 Jul
dust212–16-0.0321%22 Jul
inferno13–10-0.0120%22 Jul
ancient6–13-0.0331%22 Jul
dust213–5-0.0115%21 Jul
ancient10–13-0.0215%21 Jul
cache13–30.0313%21 Jul
inferno7–13-0.0017%21 Jul
dust28–130.0316%21 Jul
inferno8–13-0.0114%18 Jul
inferno7–13-0.0013%18 Jul
ancient10–130.0310%17 Jul
nuke9–13-0.0221%17 Jul
inferno13–100.0528%17 Jul
nuke13–40.0413%16 Jul
cache13–90.1222%16 Jul
inferno13–10-0.0719%16 Jul
dust213–5-0.0017%16 Jul
cache11–130.0319%15 Jul
dust28–13-0.0112%15 Jul
nuke13–50.0127%13 Jul
dust213–20.0313%13 Jul
cache13–16-0.0510%13 Jul
dust213–16-0.0212%13 Jul
dust28–13-0.0517%13 Jul
nuke1–13-0.0319%10 Jul
dust29–13-0.0513%10 Jul
inferno13–50.0320%10 Jul
cache13–50.0316%10 Jul
inferno11–130.019%10 Jul
cache13–7-0.0413%9 Jul
inferno9–130.0317%9 Jul
nuke13–7-0.0312%8 Jul
cache13–4-0.0227%8 Jul
train0–13-0.063%8 Jul
dust213–90.0613%8 Jul
cache10–13-0.0017%8 Jul
dust28–13-0.0414%16 Jun
inferno4–13-0.0111%10 Jun
anubis10–13-0.0113%10 Jun
inferno4–13-0.0619%10 Jun
mirage13–30.0013%9 Jun
anubis13–110.0224%9 Jun
inferno8–130.0423%9 Jun
dust22–13-0.0721%8 Jun
inferno13–50.0923%8 Jun
dust25–13-0.1221%8 Jun
inferno4–13-0.039%5 Jun
dust29–130.0020%5 Jun
nuke13–9-0.0313%5 Jun
inferno7–13-0.0219%5 Jun
inferno6–13-0.047%4 Jun
dust27–13-0.028%4 Jun
inferno4–13-0.108%4 Jun
anubis13–9-0.0611%4 Jun
nuke13–100.0519%3 Jun
dust213–10-0.0213%3 Jun
overpass1–130.0210%3 Jun
dust213–11-0.0115%3 Jun
inferno13–10-0.013%2 Jun
nuke13–110.0114%2 Jun
inferno13–11-0.0019%2 Jun
dust213–20.0624%1 Jun
inferno13–11-0.029%1 Jun
ancient6–13-0.0512%1 Jun
nuke16–13-0.0311%1 Jun
ancient7–13-0.0816%30 May
nuke5–13-0.038%30 May
anubis13–110.0019%30 May
inferno12–160.0012%29 May

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 →