VapO

VapO — CS2 Stats

76561197995454447[U:1:35188719]Steam profile ↗✓ No bans

1,562Tracked matches54%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (40 days ago). Ranks are recorded once per day this page is viewed.

+36Tracked matches · now 1,562
−1.7ppWin rate · 55.6% → 53.8%

Rating over time

30Days played since 2026-06-24

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGVapOFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning62
Utility77

0–100 skill scores via Leetify.

Recent form

STEADY51–39–10Last 10051%Win rateWWLLLLWLWW

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +2.6pp headshot accuracy · +92ms reaction

Win rate down 20pp 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 -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 552ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 538ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 492ms

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 (+2.2 against its own average).

Aim5.8
Utility7.7
Positioning6.2
Opening Duels3.6
Clutch4.6

High 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 69% 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

Strengths

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.8
Positioning6.2
Utility7.7
Mechanics3.5
Opening Duels4.2
Win Impact6.3

Composite 5.7/10 (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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time525ms−54ms
first ⅓ avg 579ms → last ⅓ avg 525ms
Headshot accuracy16.4%−1.1%
first ⅓ avg 17.4% → last ⅓ avg 16.4%

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

0.11Best match rating · 13–1 · inferno, 15 Sept →
50%Best headshot accuracy · 1–8 · dust2, 5 Sept →
281msFastest reaction time · 1–7 · inferno, 1 Jul →
13–1Biggest win · inferno, 15 Sept →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
3–3In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 70% over 10dust2Weakest map · 31% over 29
MapGradePlayedRecordWin rateAvg rating
dust2D299–2031%-0.03
infernoB2413–1154%-0.00
cacheA127–558%-0.01
overpassS107–370%-0.01
anubisS107–370%-0.00
nukeD93–633%-0.04
ancient—43–175%0.04
mirage—22–0100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 29). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,001Matches
53%Win rate
1.02Avg K/D
79.1ADR
40%Headshot %

Clutches & streaks

43%1v1 clutch win
0%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno450%1.0112.3
Dust24100%1.1916.3
Nuke475%1.2212.5
Mirage2100%1.7820.5
Anubis10%0.7311.0
Ancient10%0.9212.0

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.

16.2%Headshot accuracy
34.2%Accuracy (enemy spotted)
38.0%Spray accuracy
65.6%Counter-strafing
11.5°Preaim
515msReaction time
41.8%T opening success
51.8%CT opening success
0.59Enemies flashed / flash
9.2%Flash assists
9.67HE damage / grenade
15.72Flashes / 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.

31% win rate across 29 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
cache13–8-0.0321%9 Oct →
cache13–7-0.0426%3 Oct →
inferno9–13-0.039%3 Oct →
dust21–7-0.0414%3 Oct →
cache9–13-0.0425%2 Oct →
nuke6–130.0116%2 Oct →
inferno13–11-0.009%2 Oct →
inferno10–13-0.0113%30 Sept →
inferno13–40.0013%27 Sept →
overpass13–5-0.0417%27 Sept →
anubis13–8-0.007%27 Sept →
cache13–50.0313%27 Sept →
cache13–30.0616%26 Sept →
ancient13–50.0311%26 Sept →
dust29–00.0112%26 Sept →
nuke13–10-0.0211%26 Sept →
anubis13–11-0.0212%25 Sept →
inferno9–13-0.0215%25 Sept →
cache12–12-0.0121%23 Sept →
inferno12–12-0.0120%23 Sept →
dust29–13-0.0724%23 Sept →
nuke10–13-0.0714%16 Sept →
cache9–13-0.0425%16 Sept →
dust213–10-0.0520%16 Sept →
inferno13–10.1133%15 Sept →
overpass1–6-0.0220%15 Sept →
cache5–130.0114%15 Sept →
dust27–13-0.0120%15 Sept →
anubis12–120.009%13 Sept →
dust212–12-0.0012%13 Sept →
cache13–8-0.0519%13 Sept →
inferno13–5-0.0517%13 Sept →
dust212–12-0.0015%13 Sept →
dust21–8-0.0450%5 Sept →
inferno13–8-0.0213%5 Sept →
dust25–130.0120%5 Sept →
inferno0–80.000%1 Sept →
mirage13–60.0434%30 Aug →
anubis13–110.0424%30 Aug →
overpass13–2-0.0319%30 Aug →
overpass13–80.0716%13 Aug →
dust28–13-0.0512%13 Aug →
anubis7–13-0.0519%6 Aug →
dust210–13-0.0122%6 Aug →
anubis13–9-0.018%5 Aug →
overpass12–12-0.0421%5 Aug →
inferno13–30.0523%5 Aug →
inferno2–13-0.0921%5 Aug →
ancient10–130.0417%5 Aug →
dust26–13-0.0719%28 Jul →
inferno13–80.0217%28 Jul →
nuke4–13-0.0417%28 Jul →
inferno13–5-0.089%28 Jul →
dust213–60.0231%28 Jul →
inferno13–90.1016%28 Jul →
nuke13–9-0.059%27 Jul →
overpass13–20.0028%27 Jul →
dust28–13-0.089%27 Jul →
anubis3–13-0.0712%21 Jul →
dust25–13-0.0517%21 Jul →
nuke12–12-0.0415%21 Jul →
ancient13–50.0719%21 Jul →
inferno12–12-0.0013%21 Jul →
overpass3–13-0.0436%18 Jul →
inferno13–7-0.0411%18 Jul →
dust213–10-0.0610%18 Jul →
dust212–12-0.0113%17 Jul →
overpass13–10-0.0720%17 Jul →
inferno12–120.0629%17 Jul →
dust213–50.068%17 Jul →
inferno13–50.0429%17 Jul →
nuke6–13-0.048%17 Jul →
dust28–13-0.069%17 Jul →
inferno3–4-0.020%16 Jul →
dust20–13-0.0729%16 Jul →
anubis10–30.0910%12 Jul →
dust213–5-0.024%10 Jul →
overpass13–70.0228%10 Jul →
nuke4–13-0.046%9 Jul →
cache13–60.0013%9 Jul →
inferno13–5-0.0417%9 Jul →
mirage13–4-0.015%9 Jul →
anubis13–10.0620%9 Jul →
dust26–13-0.068%9 Jul →
dust24–13-0.0616%8 Jul →
overpass13–80.0113%8 Jul →
anubis13–6-0.099%8 Jul →
inferno13–10-0.0416%8 Jul →
cache13–5-0.0214%8 Jul →
dust23–3-0.0121%1 Jul →
cache0–2-0.0440%1 Jul →
inferno1–70.0550%1 Jul →
dust213–70.0521%1 Jul →
dust26–130.0016%26 Jun →
dust213–60.0619%26 Jun →
nuke13–6-0.0713%24 Jun →
ancient13–50.0319%24 Jun →
dust21–13-0.079%24 Jun →
inferno4–130.0138%24 Jun →
dust213–9-0.0520%24 Jun →

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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