sex haver

sex haver — CS2 Stats

76561198315959809[U:1:355694081]Steam profile ↗✓ No bans

916Tracked matches57%Win rate2021Tracked since
2,087Hours in CS39Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating8,201Light Blue band · top ~63.5% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

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. 23 days played since 15 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 8,201 +1,085 15 Jul22 Sept · 22 days played
5,3939,381peak 9,38115 Jul22 Sept
9,731Peak Premier in tracked matches
23Days played since 2026-07-15

Premier CS Rating

  • 1,180 below peak (9,381)
  • +1,769 over 30 days · improving
  • Next: Blue band at 10,000 1,799 to go
  • Reached: Light Blue band

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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate23.9%39.9%41.9%18.1% short
Shot accuracy10.8%6.9%9.6%above
Kill/death ratio0.820.920.980.16 short
Match win rate37.1%42.3%43.8%6.7% short

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

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

Share this profile

CSDB.GGsex haverPREMIER8,201 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning69
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateWLWLLLLWWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −3.4pp headshot accuracy · +13ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 634ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 669ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 662ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim5.8
Utility4.2
Positioning6.9
Opening Duels4.4
Clutch6.0

Limited utility dependence

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

donk

Plays most like donk 74% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 65% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 663ms 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

Aim5.8
Positioning6.9
Utility4.2
Mechanics7.5
Opening Duels5.9
Win Impact7.2

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time662ms−52ms
first ⅓ avg 715ms → last ⅓ avg 662ms
Headshot accuracy17.0%+2.2%
first ⅓ avg 14.8% → last ⅓ avg 17.0%

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.

Personal bests

0.17Best match rating · 9–0 · debris, 23 Aug
32%Best headshot accuracy · 10–13 · cache, 17 Sept
469msFastest reaction time · 13–6 · dust2, 3 Sept
13–2Biggest win · mirage, 21 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
77In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 67% over 15cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A1911858%-0.01
mirageA1810856%-0.01
nukeS1510567%0.02
ancientC125742%-0.02
debrisB126650%-0.03
cacheD82625%-0.00
anubisB63350%0.03
inferno41325%-0.01
eldorado41325%-0.06
office110100%0.09
vertigo1010%-0.12

Across the last 100 tracked matches.

Lifetime stats

65,419Lifetime kills
0.82K/D
2,795Matches
37.1%Match win rate
23.9%Headshot %
10.8%Shot accuracy · Top 50% of Light Blue band
3,627MVPs
1,018Hours (in match)
2,373Bombs planted
574Bombs defused

Most-used weapons

Lifetime map wins

9,899dust2
2,046nuke
1,550inferno
844office
554vertigo
221train
84lake
51cbble

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

Faceit stats

Combat

47Matches
30%Win rate
0.51Avg K/D
56.2ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
7%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.579.8
Cache367%0.8411.7
Nuke333%0.7210.0
Anubis20%0.9115.5
Inferno250%0.5214.0
Overpass10%0.5811.0
Dust21100%1.1218.0

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.

17.1%Headshot accuracy
31.9%Accuracy (enemy spotted)
32.1%Spray accuracy
83.9%Counter-strafing
9.6°Preaim
663msReaction time
65.2%T opening success
42.3%CT opening success
0.68Enemies flashed / flash
5.9%Flash assists
10.55HE damage / grenade
2.48Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.4752 — below the 4 mark we flag

    Grenade Lineups
Spend your practice time on Cache

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 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis13–100.0818%22 Sept
mirage1–13-0.039%22 Sept
ancient13–10-0.0115%22 Sept
ancient7–13-0.038%21 Sept
dust27–13-0.0218%21 Sept
inferno3–130.0112%21 Sept
mirage10–13-0.0611%21 Sept
nuke13–80.0417%21 Sept
dust213–11-0.0119%21 Sept
anubis11–130.0216%21 Sept
nuke11–130.0519%21 Sept
mirage13–20.0319%21 Sept
mirage13–110.038%19 Sept
mirage13–100.0623%19 Sept
ancient13–80.0112%18 Sept
nuke9–13-0.0413%17 Sept
cache10–13-0.0132%17 Sept
anubis10–130.0415%17 Sept
dust216–130.0616%17 Sept
nuke13–50.0220%16 Sept
mirage13–11-0.1031%16 Sept
anubis13–100.0114%16 Sept
mirage7–13-0.0611%16 Sept
dust28–13-0.0421%16 Sept
ancient13–9-0.0411%16 Sept
anubis13–90.0714%16 Sept
nuke13–60.0226%16 Sept
mirage13–50.0520%15 Sept
nuke13–8-0.0119%15 Sept
mirage11–13-0.0421%15 Sept
mirage16–13-0.0017%15 Sept
ancient10–13-0.0416%15 Sept
mirage13–100.0818%15 Sept
ancient13–6-0.0521%15 Sept
dust213–9-0.052%4 Sept
anubis11–13-0.0420%4 Sept
inferno13–110.0019%4 Sept
ancient8–13-0.049%4 Sept
mirage11–13-0.016%3 Sept
dust213–60.0515%3 Sept
mirage7–13-0.076%3 Sept
cache8–13-0.0222%3 Sept
dust23–13-0.0710%3 Sept
mirage13–50.0115%3 Sept
nuke13–50.0816%2 Sept
dust216–13-0.0118%2 Sept
inferno8–130.0216%2 Sept
mirage13–60.0517%1 Sept
cache10–13-0.0424%27 Aug
nuke13–4-0.007%27 Aug
mirage13–7-0.0213%27 Aug
dust213–70.0821%27 Aug
dust215–15-0.0116%26 Aug
cache11–130.0612%26 Aug
office13–40.0917%26 Aug
dust25–130.0413%25 Aug
inferno6–13-0.0626%25 Aug
dust213–11-0.0113%24 Aug
vertigo5–9-0.1224%24 Aug
debris5–90.016%24 Aug
debris8–80.107%24 Aug
debris9–7-0.0219%24 Aug
mirage3–13-0.043%24 Aug
nuke7–130.0021%24 Aug
eldorado4–9-0.1323%24 Aug
eldorado4–9-0.1311%24 Aug
eldorado9–70.109%24 Aug
eldorado8–8-0.098%24 Aug
debris8–8-0.1010%23 Aug
debris1–9-0.300%23 Aug
debris3–9-0.1112%23 Aug
debris9–3-0.0213%23 Aug
debris9–5-0.0614%23 Aug
debris9–40.0318%23 Aug
debris8–8-0.007%23 Aug
debris9–1-0.090%23 Aug
debris9–00.1720%23 Aug
dust24–13-0.0615%5 Aug
nuke13–100.039%5 Aug
ancient13–70.058%5 Aug
nuke13–80.0717%5 Aug
cache3–13-0.0418%5 Aug
nuke12–160.009%5 Aug
ancient11–130.0515%5 Aug
ancient9–130.0117%2 Aug
cache15–150.0222%2 Aug
cache13–10-0.0325%2 Aug
dust212–16-0.0422%2 Aug
dust27–13-0.0616%1 Aug
nuke13–20.1024%1 Aug
dust213–90.0114%1 Aug
nuke6–13-0.0130%1 Aug
mirage10–13-0.0016%20 Jul
ancient5–13-0.0718%17 Jul
dust212–8-0.0327%17 Jul
nuke13–7-0.057%17 Jul
dust213–8-0.0112%16 Jul
dust213–50.0620%16 Jul
ancient7–13-0.0610%16 Jul
cache13–60.0415%15 Jul

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →