AXEBodySpray

AXEBodySpray — CS2 Stats

US76561199488125473[U:1:1527859745]Steam profile ↗✓ No bans

277Tracked matches73%Win rate2026Tracked since
465Hours in CS9Hrs last 2 wks
CSDB Rating6.8 SolidPositional Player
Premier CS Rating16,664Purple band · top ~21.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 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: 16,664 +1,064 8 Sept – 14 Oct · 7 days played
15,31216,792peak 16,7928 Sept14 Oct
16,792Peak Premier in tracked matches
30Days played since 2026-07-24

Premier CS Rating

  • 128 below peak (16,792)
  • +1,189 over 30 days · improving
  • Next: Pink band at 20,000 — 3,336 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 rate50.6%44.3%46.9%above
Shot accuracy0.0%11.9%13.0%13.0% short
Kill/death ratio1.701.031.08above
Match win rate58.6%45.2%46.7%above

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGAXEBodySprayPREMIER16,664 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning68
Utility12

0–100 skill scores via Leetify.

Recent form

STEADY63–31–6Last 10063%Win rateWWWLWLLWWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.5pp headshot accuracy · −8ms reaction

Win rate −10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 647ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 606ms

Last 20

  • 15–4–1 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 609ms

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 Player — Positioning stands above the rest of this profile (+2.7 against its own average).

Aim8.3
Utility1.2
Positioning6.8
Opening Duels4.2

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

s1mple

Plays most like s1mple 66% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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. 60% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 60% on T to 44% on CT — first contacts on the defending side are being lost.

Reaction time. 594ms 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

Aim8.3
Positioning6.8
Utility1.2
Mechanics8.4
Opening Duels5.5
Win Impact10.0

Composite 6.8/10 (Solid), 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 rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time591ms−45ms
first ⅓ avg 636ms → last ⅓ avg 591ms
Headshot accuracy18.7%+1.0%
first ⅓ avg 17.7% → last ⅓ avg 18.7%

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

0.20Best match rating · 13–4 · dust2, 13 Sept →
43%Best headshot accuracy · 1–9 · dust2, 12 Sept →
422msFastest reaction time · 12–12 · inferno, 25 Aug →
13–1Biggest win · inferno, 14 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
6–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 92% over 13mirageWeakest map · 57% over 28
MapGradePlayedRecordWin rateAvg rating
mirageA2816–1257%0.03
dust2A2213–959%0.04
nukeS1312–192%0.02
cacheA117–464%0.06
infernoS107–370%0.01
ancientA74–357%0.03
anubis—41–325%-0.01
office—33–0100%0.04
vertigo—10–10%0.08
train—10–10%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (57% over 28). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,194Lifetime kills
1.70K/D · Top 5% of Purple band
686Matches
58.6%Match win rate · Top 5% of Purple band
50.6%Headshot % · Top 25% of Purple band
0.0%Shot accuracy
2,690MVPs
234Hours (in match)
834Bombs planted
398Bombs defused

Most-used weapons

Lifetime map wins

2,165dust2
689inferno
429nuke
318vertigo
211train
53office
18italy

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.

18.2%Headshot accuracy
40.2%Accuracy (enemy spotted)
39.5%Spray accuracy
87.9%Counter-strafing
9.6°Preaim
594msReaction time
60.1%T opening success
44.3%CT opening success
0.23Enemies flashed / flash
2.8%Flash assists
3.07HE damage / grenade
1.00Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.228 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
cache13–110.0725%14 Oct →
mirage13–7-0.0320%14 Oct →
nuke13–50.0212%14 Oct →
mirage8–130.0426%14 Oct →
inferno13–10.0319%14 Oct →
anubis10–130.0114%10 Oct →
mirage8–13-0.0314%10 Oct →
mirage13–9-0.0125%10 Oct →
dust213–80.0716%10 Oct →
dust23–00.0114%10 Oct →
dust25–13-0.0212%3 Oct →
cache13–80.0421%3 Oct →
nuke13–50.0030%3 Oct →
mirage13–60.0317%3 Oct →
dust213–90.0312%3 Oct →
nuke13–6-0.0521%1 Oct →
inferno13–80.0116%1 Oct →
nuke13–80.0128%1 Oct →
ancient13–20.1314%1 Oct →
cache12–120.0518%1 Oct →
vertigo9–130.0822%30 Sept →
mirage13–60.0327%26 Sept →
cache13–90.0313%26 Sept →
mirage11–130.028%26 Sept →
mirage11–130.0018%23 Sept →
mirage13–40.0115%20 Sept →
dust212–120.0516%20 Sept →
mirage15–150.0916%20 Sept →
cache15–15-0.0217%20 Sept →
mirage13–60.0222%20 Sept →
dust28–130.0017%20 Sept →
mirage11–130.0619%20 Sept →
nuke13–110.0635%20 Sept →
dust213–110.0220%19 Sept →
mirage13–90.0427%19 Sept →
dust213–30.1220%19 Sept →
train11–130.0217%19 Sept →
mirage13–20.1515%19 Sept →
inferno13–7-0.0120%19 Sept →
ancient13–30.0723%19 Sept →
dust211–13-0.0614%16 Sept →
ancient6–130.037%16 Sept →
mirage5–130.0923%16 Sept →
inferno13–30.0013%15 Sept →
dust213–40.2018%13 Sept →
dust21–9-0.0543%12 Sept →
nuke13–90.0024%12 Sept →
anubis2–13-0.0821%12 Sept →
nuke13–70.0726%12 Sept →
mirage10–13-0.0216%12 Sept →
cache9–100.0414%12 Sept →
mirage13–20.0623%12 Sept →
anubis13–60.0120%12 Sept →
office2–20.0218%12 Sept →
ancient10–13-0.0323%8 Sept →
nuke13–2-0.0122%8 Sept →
mirage13–5-0.0114%8 Sept →
mirage9–130.0522%7 Sept →
nuke13–100.0324%7 Sept →
ancient13–90.0511%7 Sept →
mirage13–30.0619%7 Sept →
ancient13–100.0210%7 Sept →
mirage13–10-0.0117%7 Sept →
anubis12–120.0117%7 Sept →
mirage10–13-0.0015%7 Sept →
dust29–13-0.0817%6 Sept →
dust213–50.1119%6 Sept →
cache13–90.0817%6 Sept →
nuke16–130.0417%6 Sept →
mirage10–130.0321%6 Sept →
dust213–40.1014%6 Sept →
cache7–130.0314%6 Sept →
inferno6–13-0.0524%6 Sept →
nuke13–10.028%6 Sept →
office13–30.0819%5 Sept →
ancient9–13-0.0415%5 Sept →
dust213–4-0.0616%5 Sept →
dust213–110.0521%5 Sept →
nuke9–130.0322%31 Aug →
mirage13–10.1138%29 Aug →
dust213–80.1118%29 Aug →
dust213–70.0512%29 Aug →
cache13–80.0617%29 Aug →
office13–20.0224%29 Aug →
mirage6–20.0312%29 Aug →
nuke13–110.0117%27 Aug →
cache13–10.1628%26 Aug →
cache13–10.1117%26 Aug →
inferno12–120.0114%25 Aug →
inferno13–30.0319%25 Aug →
mirage6–13-0.057%25 Aug →
dust23–130.0416%23 Aug →
mirage13–80.0915%20 Aug →
inferno13–8-0.0019%18 Aug →
dust26–130.028%16 Aug →
inferno13–50.0615%14 Aug →
dust25–13-0.0019%13 Aug →
dust213–20.0928%11 Aug →
inferno4–13-0.0116%24 Jul →
mirage13–90.0821%24 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 →

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