Äsznee

Äsznee — CS2 Stats

HM76561198202530765[U:1:242265037]Steam profile ↗✓ No bans

1,704Tracked matches63%Win rate2020Tracked since
4,248Hours in CS0Hrs last 2 wks
CSDB Rating6.9 SolidAll-Rounder
Premier CS Rating22,748Top 25% of 215,558 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#47203 of 261680 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,704 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,748 +1,142 27 Jul – 4 Nov · 8 days played
21,60622,748peak 22,74827 Jul4 Nov
22,748Peak Premier in tracked matches
18Days played since 2026-07-10

Premier CS Rating

  • At peak — 22,748
  • +1,142 over 90 days
  • Next: Red band at 25,000 — 2,252 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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 Pink band among CSDB-tracked players (n=42,632), 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 playerPink band medianRed band medianvs Red band
Headshot rate44.2%46.9%49.3%5.1% short
Shot accuracy15.7%13.0%13.3%above
Kill/death ratio1.341.081.12above
Match win rate68.9%46.7%48.5%above

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

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

Share this profile

CSDB.GGÄszneePREMIER22,748 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning60
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY59–34–7Last 10059%Win rateLWLLWLWWWW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · +2.9pp headshot accuracy · −49ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 29%
  • Avg reaction 631ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 32%
  • Avg reaction 578ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 31%
  • Avg reaction 602ms

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-Rounder — No style dimension stands clear of the others in this profile.

Aim8.4
Utility4.8
Positioning6.0
Opening Duels4.7
Clutch6.0

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

donk

Plays most like donk 94% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning 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

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

Reaction time. 607ms 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

Aim8.4
Positioning6.0
Utility4.8
Mechanics6.6
Opening Duels3.7
Win Impact9.3

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time627ms−52ms
first ⅓ avg 679ms → last ⅓ avg 627ms
Headshot accuracy31.6%+0.1%
first ⅓ avg 31.5% → last ⅓ avg 31.6%

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

0.18Best match rating · 13–9 · overpass, 22 Jul →
75%Best headshot accuracy · 0–13 · shelter, 14 Jul →
320msFastest reaction time · 1–13 · nuke, 27 Jul →
13–0Biggest win · mirage, 1 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
3–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 100% over 6dust2Weakest map · 44% over 25
MapGradePlayedRecordWin rateAvg rating
dust2C2511–1444%0.03
mirageA169–756%0.04
cacheA149–564%0.06
infernoA127–558%0.03
nukeB84–450%0.02
anubisS66–0100%0.06
ancient—43–175%0.03
vertigo—42–250%0.03
overpass—33–0100%0.15
shelter—31–233%0.01
boulder—21–150%0.04
rush_001—11–0100%-0.00
train—11–0100%0.08
fachwerk—11–0100%0.11

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

169,143Lifetime kills
1.34K/D · Top 25% of Pink band
13,032Matches
68.9%Match win rate · Top 5% of Pink band
44.2%Headshot %
15.7%Shot accuracy · Top 50% of Pink band
19,447MVPs
2,560Hours (in match)
3,685Bombs planted
941Bombs defused

Most-used weapons

AK-4746,218
AWP36,907
SSG 084,620
Knife3,410
P902,510

Lifetime map wins

24,672dust2
4,612inferno
2,069vertigo
1,737nuke
760train
550office
365cbble
240italy

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

Faceit stats

Combat

24Matches
83%Win rate
1.63Avg K/D
102.4ADR
57%Headshot %

Clutches & streaks

50%1v1 clutch win
40%1v2 clutch win
19Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage580%1.7522.8
Dust25100%1.8719.8
Anubis3100%1.4028.3
Vertigo2100%1.4019.5
Ancient2100%2.3220.5
Inferno2100%1.7518.5
Nuke1100%2.6221.0

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.

30.1%Headshot accuracy
34.9%Accuracy (enemy spotted)
42.2%Spray accuracy
79.9%Counter-strafing
9.9°Preaim
607msReaction time
44.4%T opening success
45.2%CT opening success
0.47Enemies flashed / flash
6.7%Flash assists
10.97HE damage / grenade
7.36Flashes / 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 0.4709 — below the 0.5 mark we flag

    Grenade Lineups →
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.

44% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.0418%31 Oct →
inferno13–9-0.0126%31 Oct →
dust210–130.0128%31 Oct →
cache10–130.0846%31 Oct →
mirage13–20.0129%31 Oct →
dust22–13-0.0219%31 Oct →
inferno13–20.1043%31 Oct →
dust213–60.0232%30 Sept →
rush_0018–6-0.0060%30 Sept →
mirage13–90.1523%22 Aug →
inferno12–120.0330%22 Aug →
mirage13–70.0824%22 Aug →
anubis13–20.1130%3 Aug →
nuke13–70.0329%3 Aug →
cache10–130.0520%3 Aug →
dust213–8-0.0029%3 Aug →
inferno12–120.0332%3 Aug →
mirage6–10.0837%3 Aug →
inferno10–40.1128%1 Aug →
cache4–00.1236%1 Aug →
mirage13–00.0134%1 Aug →
ancient7–13-0.0242%1 Aug →
dust211–130.0121%1 Aug →
mirage3–90.1547%30 Jul →
nuke10–13-0.0339%30 Jul →
inferno13–20.0139%30 Jul →
dust213–70.0639%30 Jul →
cache12–12-0.0124%30 Jul →
ancient13–30.0133%30 Jul →
vertigo1–9-0.0521%29 Jul →
mirage13–11-0.0421%29 Jul →
anubis13–40.0132%29 Jul →
dust211–130.0830%29 Jul →
ancient13–100.0424%27 Jul →
cache5–130.0125%27 Jul →
inferno6–13-0.0237%27 Jul →
dust25–130.0535%27 Jul →
dust21–13-0.1050%27 Jul →
dust213–10.1435%27 Jul →
nuke1–13-0.0720%27 Jul →
dust27–130.0217%24 Jul →
dust20–13-0.040%24 Jul →
dust213–70.0333%24 Jul →
cache13–30.1426%24 Jul →
vertigo13–80.0521%23 Jul →
cache13–50.1423%23 Jul →
mirage13–90.0921%23 Jul →
dust213–110.0328%23 Jul →
inferno13–60.1130%23 Jul →
nuke6–13-0.0321%23 Jul →
dust29–130.0433%23 Jul →
dust213–100.1125%22 Jul →
nuke13–60.0627%22 Jul →
overpass13–90.1829%22 Jul →
anubis13–70.1121%22 Jul →
cache13–50.1521%22 Jul →
train13–20.0829%22 Jul →
nuke13–100.0327%21 Jul →
dust213–70.0830%21 Jul →
mirage5–130.0337%21 Jul →
anubis13–90.0416%21 Jul →
cache13–40.1128%21 Jul →
overpass13–100.1240%21 Jul →
mirage13–70.0739%20 Jul →
dust29–130.0529%20 Jul →
cache0–13-0.070%20 Jul →
inferno16–12-0.0131%20 Jul →
dust213–20.1241%20 Jul →
anubis13–90.0230%20 Jul →
dust213–30.0235%20 Jul →
anubis13–50.0622%16 Jul →
inferno13–100.0427%16 Jul →
cache13–60.0526%16 Jul →
vertigo6–130.0638%16 Jul →
dust212–120.0234%16 Jul →
mirage12–120.0133%16 Jul →
dust211–130.0628%15 Jul →
ancient13–80.1030%15 Jul →
mirage6–130.0531%15 Jul →
overpass7–10.1430%15 Jul →
cache13–20.0833%15 Jul →
nuke11–130.0629%15 Jul →
dust24–13-0.0615%14 Jul →
mirage13–100.0640%14 Jul →
shelter7–130.0239%14 Jul →
shelter0–13-0.0375%14 Jul →
fachwerk13–40.1125%14 Jul →
boulder13–50.1024%14 Jul →
nuke13–30.1225%13 Jul →
mirage12–12-0.0531%13 Jul →
dust213–70.0229%13 Jul →
cache13–40.0240%13 Jul →
vertigo12–60.0821%13 Jul →
inferno7–13-0.0120%13 Jul →
dust28–13-0.0234%10 Jul →
cache13–5-0.0329%10 Jul →
inferno11–13-0.0224%10 Jul →
mirage12–120.0626%10 Jul →
boulder2–13-0.0222%10 Jul →
shelter13–50.0555%10 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.