HaxZop

HaxZop — CS2 Stats

NE76561198044005668[U:1:83739940]Steam profile ↗✓ No bans

348Tracked matches43%Win rate2020Tracked since
1,386Hours in CS26Hrs last 2 wks
CSDB Rating4.6 DevelopingSupport
Premier CS Rating15,573Purple band · top ~26.1% of ranked players (population est.)
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 15,573 +559 18 May – 22 Oct · 35 days played
13,88216,980peak 16,98018 May22 Oct
17,091Peak Premier in tracked matches
51Days played since 2026-05-18

Premier CS Rating

  • 1,407 below peak (16,980)
  • +328 over 30 days · steady
  • +763 over 90 days
  • Next: Pink band at 20,000 — 4,427 to go
  • Reached: Purple band · Blue band · 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate38.0%44.4%46.9%8.9% short
Shot accuracy13.5%11.9%13.0%above
Kill/death ratio0.791.031.080.29 short
Match win rate45.6%45.2%46.7%1.0% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHaxZopPREMIER15,573 · Purple bandcsdb.gg/stats

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Performance scores

Aim45
Positioning48
Utility62

0–100 skill scores via Leetify.

Recent form

COLD42–50–8Last 10042%Win rateLLLLLLLWLT

Last 10 vs previous 10: −70pp win rate · −0.04 avg rating · +0.2pp headshot accuracy · +43ms reaction

Win rate down 70pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 670ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 622ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 600ms

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: Support — Utility contribution stands above the rest of this profile (+2.5 against its own average).

Aim4.5
Utility6.2
Positioning4.8
Opening Duels1.1
Clutch2.6

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.

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 68% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 598ms 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

Aim4.5
Positioning4.8
Utility6.2
Mechanics5.0
Opening Duels3.2
Win Impact2.6

Composite 4.6/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time588ms−7ms
first ⅓ avg 595ms → last ⅓ avg 588ms
Headshot accuracy19.1%+0.9%
first ⅓ avg 18.2% → last ⅓ avg 19.1%

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

0.10Best match rating · 7–13 · anubis, 11 Oct →
39%Best headshot accuracy · 13–8 · nuke, 14 Jul →
422msFastest reaction time · 7–13 · inferno, 14 Oct →
13–1Biggest win · ancient, 17 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L7Current streak
5–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 50% over 14nukeWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheC3515–2043%-0.03
infernoB2110–1148%-0.02
mirageB147–750%-0.04
anubisB84–450%0.01
ancientD82–625%-0.03
dust2C73–443%-0.01
nukeD61–517%-0.03
overpass—10–10%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,433Lifetime kills
0.79K/D
2,064Matches
45.6%Match win rate · Top 50% of Purple band
38.0%Headshot %
13.5%Shot accuracy · Top 50% of Purple band
4,008MVPs
845Hours (in match)
1,928Bombs planted
428Bombs defused

Most-used weapons

Lifetime map wins

3,713inferno
2,207dust2
2,203nuke
709vertigo
477cbble
456bank
438train
256lake

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

Faceit stats

Combat

479Matches
50%Win rate
0.88Avg K/D
68.0ADR
35%Headshot %

Clutches & streaks

33%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1457%0.8914.7
Dust2850%1.0216.3
Inferno862%0.7810.3
Ancient425%0.5611.0
Cache333%0.6515.3
Anubis250%0.6513.5
Nuke1100%0.9521.0

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.

19.0%Headshot accuracy
28.9%Accuracy (enemy spotted)
30.4%Spray accuracy
72.7%Counter-strafing
11.4°Preaim
598msReaction time
40.0%T opening success
45.8%CT opening success
0.56Enemies flashed / flash
7.4%Flash assists
7.77HE damage / grenade
10.30Flashes / match

Recommended for you

Spend your practice time on Nuke

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0315%23 Oct →
cache8–13-0.0513%22 Oct →
inferno10–130.0017%19 Oct →
inferno0–13-0.078%16 Oct →
cache10–13-0.056%16 Oct →
inferno8–13-0.0731%16 Oct →
dust24–13-0.0531%16 Oct →
dust213–5-0.0122%16 Oct →
dust27–13-0.0723%16 Oct →
cache15–15-0.0420%15 Oct →
cache6–13-0.036%15 Oct →
inferno7–13-0.0126%14 Oct →
anubis13–30.0211%14 Oct →
cache8–2-0.0133%14 Oct →
cache13–11-0.0229%13 Oct →
inferno13–10-0.0313%13 Oct →
anubis13–70.0711%13 Oct →
cache13–10-0.0118%13 Oct →
mirage16–130.0121%13 Oct →
inferno13–4-0.0315%12 Oct →
nuke3–13-0.0722%12 Oct →
inferno10–130.0811%12 Oct →
dust215–150.0620%12 Oct →
anubis7–130.1019%11 Oct →
inferno16–13-0.0621%11 Oct →
cache13–11-0.0624%11 Oct →
cache8–13-0.0431%8 Oct →
nuke10–13-0.0118%7 Oct →
inferno10–130.0116%6 Oct →
anubis13–8-0.0121%6 Oct →
anubis11–13-0.0614%27 Sept →
cache15–15-0.0224%23 Sept →
ancient8–130.0021%22 Sept →
cache13–30.0318%17 Sept →
mirage6–11-0.0533%15 Sept →
ancient5–13-0.0520%10 Sept →
mirage15–15-0.0214%10 Sept →
inferno13–20.0926%10 Sept →
mirage13–7-0.0118%10 Sept →
mirage13–7-0.0327%10 Sept →
dust213–60.0113%10 Sept →
ancient15–150.0022%7 Sept →
inferno6–130.0136%4 Sept →
nuke15–15-0.0121%3 Sept →
nuke9–13-0.0623%31 Aug →
inferno9–13-0.0914%31 Aug →
cache13–9-0.0816%12 Aug →
mirage13–3-0.0427%12 Aug →
cache10–13-0.0226%27 Jul →
cache4–13-0.059%26 Jul →
inferno13–3-0.0017%26 Jul →
mirage13–10-0.0216%24 Jul →
cache7–13-0.0716%22 Jul →
inferno6–13-0.0426%22 Jul →
ancient11–13-0.0823%22 Jul →
anubis3–13-0.0720%22 Jul →
cache13–11-0.0324%21 Jul →
inferno16–12-0.0830%20 Jul →
ancient7–13-0.0522%20 Jul →
mirage13–8-0.0620%19 Jul →
cache13–8-0.0418%19 Jul →
cache15–15-0.0517%18 Jul →
inferno6–13-0.0515%17 Jul →
ancient13–10.0315%17 Jul →
mirage4–13-0.0714%15 Jul →
inferno13–90.0114%15 Jul →
cache3–13-0.067%15 Jul →
nuke13–80.0039%14 Jul →
mirage13–2-0.0230%14 Jul →
anubis13–60.0114%13 Jul →
ancient7–13-0.0313%13 Jul →
cache13–2-0.056%13 Jul →
cache7–13-0.0515%12 Jul →
nuke10–13-0.0412%12 Jul →
inferno13–10-0.028%10 Jul →
anubis14–160.0117%10 Jul →
cache11–130.0317%10 Jul →
inferno13–5-0.0130%10 Jul →
dust213–80.0119%9 Jul →
dust210–130.0023%9 Jul →
cache13–110.0226%8 Jul →
cache3–130.0817%7 Jul →
ancient13–10-0.0516%6 Jul →
inferno5–13-0.0431%6 Jul →
mirage10–13-0.0515%26 Jun →
inferno13–90.0320%26 Jun →
overpass5–13-0.0727%8 Jun →
mirage4–13-0.0616%5 Jun →
cache6–13-0.0319%2 Jun →
mirage8–13-0.0615%26 May →
cache6–130.0322%26 May →
cache12–120.0015%25 May →
cache13–11-0.027%22 May →
cache13–7-0.0713%21 May →
cache13–9-0.0120%21 May →
cache13–5-0.0020%21 May →
cache13–10.0120%19 May →
cache9–13-0.0910%19 May →
mirage11–13-0.0820%18 May →
cache10–13-0.0510%18 May →

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 →

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