Dexter

Dexter — CS2 Stats

FI76561198310537634[U:1:350271906]Steam profile ↗✓ No bans

253Tracked matches44%Win rate2020Tracked since
967Hours in CS14Hrs last 2 wks
CSDB Rating5.0 DevelopingAll-Rounder
Premier CS Rating13,377Blue band · top ~37% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−436Premier CS Rating · 13,813 → 13,377
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 2 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,377 -807 2 Jul20 Sept · 26 days played
13,07117,225peak 17,2252 Jul20 Sept
17,520Peak Premier in tracked matches
30Days played since 2026-07-02

Premier CS Rating

  • 3,848 below peak (17,225)
  • -384 over 30 days · steady
  • -807 over 90 days
  • Next: Purple band at 15,000 1,623 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-31
  • Light Blue band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=20,242), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate40.4%41.9%44.3%3.9% short
Shot accuracy14.8%9.6%11.8%above
Kill/death ratio0.990.981.030.04 short
Match win rate43.6%43.8%45.2%1.6% short

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim65
Positioning54
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY43525Last 10043%Win rateLWLLLWLWWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −3.6pp headshot accuracy · −5ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 522ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 542ms

Last 20

  • 8111 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 544ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-RounderNo style dimension stands clear of the others in this profile.

Aim6.5
Utility4.9
Positioning5.4
Opening Duels4.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 551ms 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

Aim6.5
Positioning5.4
Utility4.9
Mechanics5.9
Opening Duels2.8
Win Impact3.1

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time544ms−81ms
first ⅓ avg 625ms → last ⅓ avg 544ms
Headshot accuracy11.2%−0.0%
first ⅓ avg 11.2% → last ⅓ avg 11.2%

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.

Personal bests

0.14Best match rating · 13–9 · ancient, 13 Sept
20%Best headshot accuracy · 1–9 · inferno, 11 Aug
289msFastest reaction time · 2–5 · dust2, 12 Sept
13–1Biggest win · mirage, 3 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
84In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 56% over 9dust2Weakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoC29111838%0.01
ancientC2191243%-0.00
nukeB178947%0.01
mirageB137654%-0.01
cacheA95456%0.01
dust2D81713%-0.03
anubis32167%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

27,723Lifetime kills
0.99K/D · Top 50% of Blue band
1,641Matches
43.6%Match win rate
40.4%Headshot %
14.8%Shot accuracy · Top 25% of Blue band
3,389MVPs
542Hours (in match)
1,983Bombs planted
614Bombs defused

Most-used weapons

Lifetime map wins

3,753inferno
1,742dust2
1,607nuke
706vertigo
302train
170office
151cbble
114lake

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.

11.4%Headshot accuracy
37.5%Accuracy (enemy spotted)
38.0%Spray accuracy
76.6%Counter-strafing
10.5°Preaim
551msReaction time
39.2%T opening success
43.3%CT opening success
0.54Enemies flashed / flash
3.3%Flash assists
10.74HE damage / grenade
8.97Flashes / 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 11.4444% — below the 15% mark we flag

    Aim Training
  2. 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 39.1658% — below the 40% mark we flag

Spend your practice time on Dust 2

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.046%20 Sept
ancient13–10-0.036%20 Sept
ancient7–13-0.0616%20 Sept
cache10–130.0312%18 Sept
ancient11–13-0.1011%18 Sept
nuke13–10-0.0113%18 Sept
ancient6–13-0.066%18 Sept
ancient13–90.148%13 Sept
cache13–40.079%13 Sept
inferno4–13-0.0111%13 Sept
ancient15–150.0015%13 Sept
inferno13–90.0115%13 Sept
nuke13–20.1113%13 Sept
inferno2–120.0916%12 Sept
dust22–50.0111%12 Sept
cache3–130.0318%12 Sept
mirage7–13-0.0412%8 Sept
dust214–16-0.0314%8 Sept
nuke13–11-0.039%6 Sept
cache13–100.0010%30 Aug
inferno15–150.0713%30 Aug
inferno13–16-0.0310%30 Aug
nuke15–15-0.0313%30 Aug
cache13–110.0314%29 Aug
dust27–13-0.0217%29 Aug
mirage13–80.0210%24 Aug
inferno10–13-0.056%24 Aug
mirage13–9-0.047%24 Aug
nuke13–40.1116%24 Aug
ancient6–13-0.049%18 Aug
mirage11–13-0.015%18 Aug
nuke9–13-0.047%18 Aug
ancient1–7-0.0411%15 Aug
ancient13–100.038%15 Aug
inferno15–150.0212%15 Aug
dust29–13-0.096%15 Aug
inferno9–130.046%15 Aug
inferno2–13-0.0212%15 Aug
nuke7–130.053%15 Aug
dust26–13-0.0513%15 Aug
inferno9–13-0.0314%13 Aug
ancient13–10-0.019%13 Aug
inferno3–130.0013%13 Aug
nuke6–13-0.0512%12 Aug
nuke13–110.0018%12 Aug
ancient13–11-0.0111%12 Aug
cache7–13-0.0112%12 Aug
ancient13–60.0919%12 Aug
inferno1–9-0.0920%11 Aug
nuke13–16-0.028%11 Aug
dust23–13-0.0114%10 Aug
mirage10–130.033%10 Aug
inferno13–60.0514%10 Aug
ancient15–15-0.0310%10 Aug
cache13–60.0110%10 Aug
ancient9–13-0.0310%7 Aug
inferno4–13-0.0219%7 Aug
inferno13–80.0512%6 Aug
cache13–3-0.057%6 Aug
mirage13–7-0.0111%6 Aug
nuke13–30.0216%6 Aug
ancient10–130.0216%5 Aug
inferno9–13-0.045%5 Aug
mirage13–5-0.033%5 Aug
cache10–130.0120%5 Aug
mirage10–130.017%5 Aug
inferno13–60.029%5 Aug
mirage5–13-0.078%4 Aug
mirage13–10.0919%3 Aug
inferno10–13-0.016%3 Aug
nuke16–120.1013%3 Aug
ancient4–13-0.053%3 Aug
inferno7–13-0.059%3 Aug
nuke14–16-0.0312%2 Aug
dust28–13-0.029%2 Aug
anubis13–50.0512%2 Aug
ancient4–130.0710%31 Jul
mirage7–130.0019%31 Jul
inferno13–60.069%31 Jul
anubis1–13-0.034%30 Jul
mirage13–100.0311%30 Jul
mirage13–11-0.0612%30 Jul
inferno2–13-0.0312%30 Jul
inferno13–110.0012%29 Jul
inferno13–40.0315%29 Jul
ancient10–13-0.047%29 Jul
nuke8–13-0.019%19 Jul
ancient13–9-0.018%19 Jul
inferno16–14-0.0513%19 Jul
anubis13–20.0115%16 Jul
ancient13–40.1019%16 Jul
nuke4–13-0.020%13 Jul
inferno13–60.079%13 Jul
nuke13–9-0.0114%8 Jul
inferno13–40.0112%8 Jul
dust213–11-0.0217%3 Jul
inferno7–130.027%3 Jul
ancient13–60.0415%3 Jul
inferno13–50.0813%2 Jul
nuke6–130.0215%2 Jul

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 →