DASOAP

DASOAP — CS2 Stats

76561198113886915[U:1:153621187]Steam profile ↗✓ No bans

1,239Tracked matches50%Win rate2022Tracked since
2,345Hours in CS5Hrs last 2 wks
CSDB Rating5.6 SolidSupport
Ladder ranks via Leetify

Rating over time

17,674Peak Premier in tracked matches
42Days played since 2026-01-25

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

Performance scores

Aim60
Positioning57
Utility57

0–100 skill scores via Leetify.

Recent form

COLD51–46–3Last 10051%Win rateLWWLLLLWTL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −3.3pp headshot accuracy · −6ms reaction

Win rate down 40pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 569ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 595ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 598ms

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 (+1.1 against its own average).

Aim6.0
Utility5.7
Positioning5.7
Opening Duels2.5

Strong T-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

Twistzz

Plays most like Twistzz 80% 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

CT openings. Opening success drops from 50% on T to 31% 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

Aim6.0
Positioning5.7
Utility5.7
Mechanics6.9
Opening Duels2.6
Win Impact5.0

Composite 5.6/10 (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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time600ms−21ms
first ⅓ avg 621ms → last ⅓ avg 600ms
Headshot accuracy18.2%−1.7%
first ⅓ avg 20.0% → last ⅓ avg 18.2%

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

0.15Best match rating · 13–0 · ancient, 31 Mar →
44%Best headshot accuracy · 4–13 · mirage, 15 Apr →
406msFastest reaction time · 13–10 · office, 9 Jul →
13–0Biggest win · ancient, 31 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–8In matches decided by ≤2 rounds
2Overtime games

Map breakdown

nukeBest map · 67% over 6mirageWeakest map · 44% over 18
MapGradePlayedRecordWin rateAvg rating
infernoB1910–953%0.00
mirageC188–1044%0.00
officeA159–660%0.03
cacheB105–550%-0.00
ancientB84–450%0.01
vertigoA74–357%0.00
dust2A74–357%0.04
nukeS64–267%0.01
overpass—43–175%0.03
anubis—30–30%0.05
train—20–20%0.01
fachwerk—10–10%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (44% over 18). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

48,509Lifetime kills
1.22K/D · Top 25% of tracked players
2,839Matches
45.9%Match win rate · Top 50% of tracked players
43.3%Headshot %
7.3%Shot accuracy
6,317MVPs
1,058Hours (in match)
3,044Bombs planted
808Bombs defused

Most-used weapons

Lifetime map wins

3,154dust2
3,108inferno
3,072vertigo
2,791office
2,293nuke
157train
126italy
21ar_baggage

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.

18.9%Headshot accuracy
30.6%Accuracy (enemy spotted)
32.8%Spray accuracy
80.9%Counter-strafing
10.4°Preaim
594msReaction time
50.2%T opening success
30.9%CT opening success
0.58Enemies flashed / flash
7.3%Flash assists
9.76HE damage / grenade
8.24Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.9053% — below the 40% mark we flag

Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0516%6 Nov →
mirage13–10-0.0118%4 Nov →
vertigo13–9-0.0315%26 Oct →
inferno9–130.0213%26 Oct →
office8–130.0022%21 Oct →
mirage11–13-0.0119%15 Oct →
mirage3–13-0.0312%15 Oct →
vertigo13–10-0.0121%15 Oct →
anubis15–150.0122%14 Oct →
inferno0–20.010%14 Oct →
cache13–10-0.0219%14 Oct →
cache13–60.0927%10 Oct →
office13–100.0520%10 Oct →
mirage13–5-0.0122%30 Sept →
office13–20.0621%30 Sept →
inferno3–130.0117%30 Sept →
nuke13–11-0.0315%30 Sept →
cache6–13-0.0722%23 Sept →
ancient6–13-0.0615%23 Sept →
mirage13–8-0.0211%23 Sept →
inferno9–130.0511%6 Sept →
cache13–10-0.0329%6 Sept →
mirage11–130.0620%22 Jul →
mirage12–12-0.0611%22 Jul →
fachwerk7–13-0.0423%16 Jul →
inferno13–10-0.0111%16 Jul →
inferno16–140.0616%9 Jul →
office13–100.0840%9 Jul →
office10–13-0.0327%9 Jul →
inferno5–13-0.0410%9 Jul →
inferno13–4-0.0113%9 Jul →
ancient9–130.0411%9 Jul →
cache13–20.0231%21 Jun →
dust213–20.1132%21 Jun →
mirage13–10.0216%21 Jun →
office13–70.1132%18 Jun →
inferno13–20.0319%18 Jun →
mirage8–13-0.0512%18 Jun →
office13–110.0415%11 Jun →
cache7–13-0.0130%11 Jun →
mirage13–10-0.0020%9 Jun →
office13–90.0425%9 Jun →
vertigo7–130.0414%4 Jun →
cache13–50.0923%25 May →
office9–130.0624%25 May →
inferno8–13-0.0718%22 May →
office7–13-0.0721%19 May →
cache7–13-0.0220%29 Apr →
cache2–13-0.0620%29 Apr →
cache7–13-0.0417%29 Apr →
train11–130.0521%22 Apr →
inferno13–100.0117%15 Apr →
mirage4–13-0.1144%15 Apr →
dust213–100.0113%8 Apr →
nuke13–110.0318%8 Apr →
ancient13–9-0.0334%8 Apr →
dust28–13-0.0328%2 Apr →
anubis11–130.0717%1 Apr →
overpass6–00.070%1 Apr →
inferno8–10.1433%1 Apr →
nuke13–50.0117%31 Mar →
office13–110.0113%31 Mar →
ancient13–00.1525%31 Mar →
mirage5–130.0323%31 Mar →
inferno11–13-0.0624%27 Mar →
ancient6–13-0.088%27 Mar →
mirage13–9-0.0527%26 Mar →
nuke10–13-0.0025%26 Mar →
inferno13–90.0121%26 Mar →
overpass13–50.0527%26 Mar →
ancient13–30.1018%26 Mar →
train7–13-0.0417%25 Mar →
anubis10–130.0716%25 Mar →
office7–3-0.0615%25 Mar →
mirage10–130.0713%25 Mar →
vertigo13–110.0219%24 Mar →
office13–80.027%24 Mar →
mirage7–130.0624%23 Mar →
dust22–13-0.0225%23 Mar →
inferno13–11-0.0116%23 Mar →
mirage13–50.1026%19 Mar →
dust212–120.0324%19 Mar →
ancient2–130.0218%19 Mar →
dust213–90.0523%18 Mar →
ancient13–9-0.0412%18 Mar →
inferno9–00.046%18 Mar →
office9–130.0220%16 Mar →
dust213–70.1420%16 Mar →
vertigo8–130.0212%12 Mar →
mirage13–100.0335%12 Mar →
nuke10–130.0118%12 Mar →
overpass11–130.0120%11 Mar →
overpass13–8-0.0017%11 Mar →
vertigo13–4-0.0625%10 Mar →
inferno10–13-0.0914%10 Mar →
office11–130.0830%19 Feb →
nuke13–30.0319%17 Feb →
inferno13–70.0130%17 Feb →
vertigo9–130.0222%17 Feb →
mirage8–130.0424%25 Jan →

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 →

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