aapow0w

aapow0w — CS2 Stats

76561198121928256[U:1:161662528]Steam profile ↗✓ No bans

3,924Tracked matches67%Win rate2020Tracked since
CSDB Rating7.0 StrongSupport
Premier CS Rating16,189Purple band · top ~23.7% of ranked players (population est.)
FaceitLevel 10 · 3,124 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 16,189 → 16,189
0Faceit ELO · 3,124 → 3,124
+15Tracked matches · now 3,924
0.0ppWin rate · 66.7% → 66.7%

Rating over time

16,189Peak Premier on CSDB
3,124Highest Faceit ELO seen on CSDB
68Days played since 2024-02-13

Faceit ELO

  • At peak — 3,124
  • Next: 3,500 ELO at 3,500 — 376 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9
  • 3,000 ELO first seen 2026-09-09
  • 2,500 ELO first seen 2026-09-09

Premier CS Rating

  • At peak — 16,189
  • Next: Pink band at 20,000 — 3,811 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-09
  • Blue band first seen 2026-09-09

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGaapow0wFACEITLevel 10 · 3,124 ELOSTANDINGTop 12.4% of rankedPREMIER16,189 · Purple bandPEAK ELO3,124csdb.gg/stats

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Performance scores

Aim72
Positioning68
Utility75

0–100 skill scores via Leetify.

Recent form

HOT54–46Last 10054%Win rateLWLWWWWWWW

Last 10 vs previous 10: +30pp win rate · −0.03 avg rating · −4.1pp headshot accuracy · −20ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 442ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 495ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 505ms

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 (+1.7 against its own average).

Aim7.2
Utility7.5
Positioning6.8
Opening Duels5.0
Clutch3.8

Effective flashesHigh utility contribution

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 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

T-side openings. Opening success drops from 57% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.2
Positioning6.8
Utility7.5
Mechanics6.1
Opening Duels4.3
Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time530ms−31ms
first ⅓ avg 561ms → last ⅓ avg 530ms
Headshot accuracy20.9%+4.4%
first ⅓ avg 16.5% → last ⅓ avg 20.9%

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 · 13–2 · mirage, 19 Mar →
44%Best headshot accuracy · 7–13 · dust2, 23 Nov →
375msFastest reaction time · 13–4 · dust2, 13 Jul →
13–1Biggest win · nuke, 9 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
12–9In matches decided by ≤2 rounds
18Overtime games

Map breakdown

mirageBest map · 65% over 17dust2Weakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
nukeA2415–963%0.01
ancientC2310–1343%0.02
mirageS1711–665%0.02
dust2C156–940%0.02
overpassB63–350%0.00
trainA53–260%0.02
cache—42–250%-0.03
anubis—32–167%-0.00
vertigo—21–150%0.02
inferno—11–0100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7,718Matches
52%Win rate
1.15Avg K/D
83.4ADR
45%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage46554%1.1016.3
Nuke35660%1.1316.1
Ancient33054%1.0916.1
Dust224250%1.1015.4
Train11859%1.0816.1
Overpass7760%1.1416.1
Anubis5444%1.0715.5
Inferno4842%1.0515.5

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.

20.3%Headshot accuracy
32.3%Accuracy (enemy spotted)
34.1%Spray accuracy
77.5%Counter-strafing
9.2°Preaim
537msReaction time
37.4%T opening success
56.9%CT opening success
0.75Enemies flashed / flash
7.6%Flash assists
8.79HE damage / grenade
21.41Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 37.4427% — below the 40% mark we flag

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.

40% win rate across 15 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
cache5–13-0.1115%5 Sept →
mirage13–11-0.0417%29 Aug →
cache11–13-0.0322%28 Aug →
nuke25–23-0.0119%24 Aug →
cache13–8-0.0413%21 Aug →
anubis19–16-0.0125%2 Aug →
cache13–80.0514%2 Aug →
mirage16–14-0.0117%16 Jul →
ancient19–17-0.0013%16 Jul →
mirage13–60.0625%16 Jul →
nuke4–13-0.0036%14 Jun →
nuke16–130.0314%3 Apr →
ancient10–13-0.0223%30 Mar →
dust213–40.1227%21 Mar →
overpass6–130.0425%23 Feb →
dust213–10-0.0129%21 Feb →
dust23–13-0.0921%19 Feb →
mirage13–30.0015%10 Feb →
nuke8–130.0718%10 Dec →
nuke13–80.0214%23 Nov →
dust27–130.0844%23 Nov →
overpass13–40.0314%22 Nov →
dust213–110.0623%22 Nov →
mirage13–50.0723%22 Nov →
inferno13–40.019%22 Nov →
overpass22–190.0016%20 Nov →
overpass19–170.0328%11 Nov →
nuke8–130.0110%3 Nov →
nuke13–10.0717%9 Oct →
overpass5–13-0.0526%9 Oct →
dust28–13-0.0324%29 Sept →
train9–130.0019%15 Jun →
ancient13–100.0333%29 May →
nuke8–13-0.0310%13 May →
mirage13–9-0.019%25 Apr →
nuke13–8-0.048%19 Mar →
mirage13–20.1819%19 Mar →
ancient13–70.0714%12 Mar →
ancient11–13-0.0316%4 Mar →
mirage13–90.0221%16 Feb →
train13–60.0518%27 Jan →
mirage11–13-0.0315%26 Jan →
train3–13-0.0715%19 Jan →
nuke10–130.0019%19 Jan →
train13–100.0521%15 Jan →
ancient9–130.0217%12 Jan →
ancient10–13-0.0027%4 Jan →
train16–130.0422%28 Nov →
ancient13–160.0118%26 Nov →
ancient8–13-0.0221%23 Nov →
mirage5–13-0.0331%23 Nov →
dust27–130.0428%22 Nov →
dust26–13-0.0411%18 Sept →
ancient16–14-0.0520%17 Sept →
ancient16–120.0215%17 Sept →
mirage10–13-0.0125%31 Aug →
nuke13–60.0321%31 Aug →
nuke13–40.0019%31 Aug →
mirage13–100.0312%31 Aug →
ancient8–13-0.0420%30 Aug →
mirage11–13-0.0214%26 Aug →
dust25–130.0030%10 Aug →
dust25–13-0.0527%6 Aug →
nuke13–70.0512%28 Jul →
ancient13–20.1115%27 Jul →
nuke14–160.0422%13 Jul →
ancient14–16-0.0222%13 Jul →
dust213–40.0315%13 Jul →
nuke13–100.0113%13 Jul →
nuke13–60.1116%13 Jul →
mirage13–90.0418%18 Jun →
dust210–13-0.0219%18 Jun →
nuke23–25-0.0013%25 May →
ancient13–110.1315%12 May →
ancient16–130.0514%9 May →
nuke13–11-0.0613%6 May →
dust213–110.1625%6 May →
nuke8–13-0.0210%6 May →
anubis7–120.0213%4 May →
ancient14–160.0511%3 May →
nuke13–90.017%3 May →
vertigo13–100.0119%3 May →
dust28–13-0.0532%3 May →
ancient8–13-0.0320%3 May →
dust216–130.0420%27 Apr →
ancient10–130.048%22 Apr →
vertigo12–160.0322%7 Apr →
ancient13–30.1414%6 Apr →
mirage11–130.0525%28 Feb →
mirage8–13-0.0111%28 Feb →
ancient9–13-0.0112%24 Feb →
nuke9–13-0.0012%24 Feb →
ancient6–13-0.0027%18 Feb →
anubis13–2-0.0115%18 Feb →
ancient13–110.0411%15 Feb →
overpass4–13-0.0528%15 Feb →
nuke13–80.0112%14 Feb →
nuke13–11-0.0121%14 Feb →
mirage13–9-0.0224%13 Feb →
nuke13–60.0311%13 Feb →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 103K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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