assquake

assquake — CS2 Stats

76561198070847014[U:1:110581286]Steam profile ↗✓ No bans

1,579Tracked matches64%Win rate2022Tracked since
CSDB Rating6.9 SolidSupport
Premier CS Rating17,971Purple band · top ~16.6% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−597Premier CS Rating · 18,568 → 17,971

Rating over time

Premier CS Rating: 17,971 -2,083 14 Aug – 17 Oct · 34 days played
17,01520,054peak 20,05414 Aug17 Oct
20,390Peak Premier in tracked matches
39Days played since 2026-08-14

Premier CS Rating

  • 2,083 below peak (20,054)
  • -73 over 30 days · steady
  • Next: Pink band at 20,000 — 2,029 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-07
  • Blue band first seen 2026-09-07

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

Share this profile

CSDB.GGassquakePREMIER17,971 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning62
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLWLLLWWLWW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · −3.9pp headshot accuracy · +49ms 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 642ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 597ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 572ms

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 (+1.4 against its own average).

Aim7.6
Utility6.8
Positioning6.2
Opening Duels2.8
Clutch5.8

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: 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. 560ms 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

Aim7.6
Positioning6.2
Utility6.8
Mechanics5.6
Opening Duels5.4
Win Impact9.8

Composite 6.9/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time566ms−8ms
first ⅓ avg 574ms → last ⅓ avg 566ms
Headshot accuracy23.5%−0.5%
first ⅓ avg 23.9% → last ⅓ avg 23.5%

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

0.13Best match rating · 14–16 · mirage, 21 Sept →
50%Best headshot accuracy · 13–8 · train, 11 Oct →
375msFastest reaction time · 13–4 · inferno, 2 Oct →
13–0Biggest win · inferno, 16 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
12–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 63% over 8dust2Weakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
nukeB2813–1546%0.03
mirageC208–1240%0.01
anubisA148–657%-0.00
cacheB136–746%0.01
infernoA85–363%0.01
ancientB84–450%0.01
dust2D51–420%0.02
train—32–167%0.03
vertigo—11–0100%0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

117Matches
48%Win rate
1.08Avg K/D
82.4ADR
50%Headshot %

Clutches & streaks

49%1v1 clutch win
24%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2442%1.1215.8
Nuke2250%1.1416.0
Anubis1953%1.0813.7
Inferno1932%1.1015.4
Ancient1560%1.1317.7
Dust21145%0.9416.1
Cache367%0.9313.0
Vertigo250%0.505.0

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.

23.3%Headshot accuracy
34.1%Accuracy (enemy spotted)
38.7%Spray accuracy
75.1%Counter-strafing
9.4°Preaim
560msReaction time
56.8%T opening success
46.3%CT opening success
0.69Enemies flashed / flash
4.8%Flash assists
7.50HE damage / grenade
16.01Flashes / match

Recommended for you

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.

20% win rate across 5 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
mirage8–130.0024%17 Oct →
inferno13–90.0722%17 Oct →
nuke8–13-0.0221%17 Oct →
mirage8–13-0.0626%16 Oct →
dust27–130.0528%16 Oct →
inferno13–00.0825%16 Oct →
mirage13–60.0230%16 Oct →
anubis5–13-0.0910%15 Oct →
anubis13–110.0016%15 Oct →
inferno13–70.0120%15 Oct →
nuke9–130.0931%15 Oct →
ancient11–130.059%15 Oct →
inferno13–16-0.0223%13 Oct →
nuke15–15-0.0028%13 Oct →
train12–120.0426%13 Oct →
nuke13–60.0725%13 Oct →
nuke13–50.0424%11 Oct →
train13–80.0250%11 Oct →
vertigo13–110.0829%11 Oct →
nuke13–7-0.0116%10 Oct →
mirage13–8-0.0430%10 Oct →
ancient13–60.0027%9 Oct →
nuke16–130.0626%9 Oct →
nuke13–60.1010%9 Oct →
anubis13–11-0.015%8 Oct →
anubis13–11-0.0034%8 Oct →
anubis9–130.0423%7 Oct →
cache9–130.0016%7 Oct →
nuke13–60.0010%7 Oct →
cache16–140.0127%7 Oct →
mirage1–6-0.0533%5 Oct →
nuke7–130.0116%5 Oct →
cache13–6-0.0131%4 Oct →
nuke5–130.0316%4 Oct →
mirage13–20.0317%4 Oct →
inferno13–4-0.0639%2 Oct →
nuke10–130.0226%2 Oct →
nuke5–13-0.0124%1 Oct →
cache11–13-0.0024%30 Sept →
anubis9–13-0.0519%30 Sept →
cache13–70.0626%30 Sept →
anubis13–4-0.0215%30 Sept →
nuke13–40.0418%29 Sept →
dust22–130.0620%29 Sept →
mirage11–13-0.0126%29 Sept →
mirage3–13-0.0824%28 Sept →
dust213–4-0.0314%28 Sept →
mirage13–110.0129%28 Sept →
nuke11–130.0926%23 Sept →
ancient13–5-0.0215%22 Sept →
mirage14–160.1322%21 Sept →
mirage6–13-0.0118%14 Sept →
mirage7–130.0033%14 Sept →
nuke13–60.0421%10 Sept →
ancient11–13-0.0228%10 Sept →
mirage16–130.0326%10 Sept →
nuke2–13-0.0529%9 Sept →
anubis16–140.0724%9 Sept →
dust29–130.0125%9 Sept →
anubis16–140.0418%9 Sept →
cache0–13-0.1023%8 Sept →
nuke13–7-0.0432%8 Sept →
ancient8–13-0.0121%8 Sept →
anubis16–130.0313%7 Sept →
nuke8–13-0.0610%7 Sept →
cache13–110.0223%6 Sept →
cache8–130.0024%6 Sept →
ancient13–110.0732%3 Sept →
cache2–130.0031%3 Sept →
mirage5–13-0.0431%2 Sept →
inferno16–140.0420%2 Sept →
nuke13–70.1027%2 Sept →
anubis13–30.0224%2 Sept →
nuke10–130.0220%2 Sept →
mirage11–13-0.0130%2 Sept →
mirage7–13-0.026%1 Sept →
nuke10–130.0016%1 Sept →
anubis14–16-0.0318%31 Aug →
cache13–80.0231%31 Aug →
mirage13–100.0633%29 Aug →
cache11–13-0.0023%28 Aug →
mirage9–130.0225%28 Aug →
mirage13–100.0520%28 Aug →
cache16–120.0214%27 Aug →
anubis5–13-0.0514%27 Aug →
inferno6–13-0.0317%27 Aug →
nuke13–9-0.0117%27 Aug →
nuke13–20.0624%26 Aug →
ancient13–100.0322%26 Aug →
dust25–130.0025%25 Aug →
nuke13–110.0214%25 Aug →
anubis6–130.0344%20 Aug →
nuke4–13-0.0420%20 Aug →
nuke5–130.0530%19 Aug →
train13–50.0218%18 Aug →
nuke12–120.0927%18 Aug →
mirage13–80.0833%17 Aug →
cache6–130.0528%17 Aug →
inferno14–16-0.0323%14 Aug →
ancient7–13-0.0531%14 Aug →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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