vaapukkamefu

vaapukkamefu — CS2 Stats

76561198070921182[U:1:110655454]Steam profile ↗✓ No bans

1,968Tracked matches28%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
Premier CS Rating20,977Top 50% of 213,399 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#70299 of 260020 tracked
FaceitLevel 9 · 1,794 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

−253Premier CS Rating · 21,230 → 20,977

Rating over time

Premier CS Rating: 20,977 -907 31 Jul – 5 Nov · 33 days played
20,77024,128peak 24,12831 Jul5 Nov
Faceit ELO: 1,794 +0 15 Sept – 27 Oct · 3 observations
1,7941,794peak 1,79415 Sept27 Oct
24,128Peak Premier in tracked matches
1,794Highest Faceit ELO seen on CSDB
48Days played since 2026-07-28

Faceit ELO

  • At peak — 1,794
  • Next: Level 10 at 2,001 — 207 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-15
  • Level 8 first seen 2026-09-15

Premier CS Rating

  • 3,151 below peak (24,128)
  • -848 over 30 days · declining
  • -1,067 over 90 days
  • Next: Red band at 25,000 — 4,023 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-15
  • Purple band first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.GGvaapukkamefuFACEITLevel 9 · 1,794 ELOSTANDINGTop 20.7% of rankedPREMIER20,977 · Pink bandPEAK ELO1,794csdb.gg/stats

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Performance scores

Aim75
Positioning58
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLWLWLWLWLW

Last 10 vs previous 10: +50pp win rate · +0.02 avg rating · −2.9pp headshot accuracy · −2ms reaction

Win rate up 50pp 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 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 561ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 572ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 573ms

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).

Aim7.5
Utility5.8
Positioning5.8
Opening Duels1.9
Clutch4.0

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

iM

Plays most like iM 85% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success.

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

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 67% on T to 36% on CT — first contacts on the defending side are being lost.

Reaction time. 564ms 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

Aim7.5
Positioning5.8
Utility5.8
Mechanics6.9
Opening Duels5.4
Win Impact0.0

Composite 6.0/10 (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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time569ms−24ms
first ⅓ avg 594ms → last ⅓ avg 569ms
Headshot accuracy18.1%−2.0%
first ⅓ avg 20.1% → last ⅓ avg 18.1%

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

0.29Best match rating · 13–1 · dust2, 31 Aug →
36%Best headshot accuracy · 13–8 · mirage, 5 Aug →
422msFastest reaction time · 13–6 · inferno, 17 Sept →
13–0Biggest win · dust2, 24 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
9–6In matches decided by ≤2 rounds
15Overtime games

Map breakdown

dust2Best map · 65% over 26anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2S2617–965%0.02
mirageB2513–1252%0.00
cacheC135–838%0.01
nukeB126–650%-0.02
infernoD113–827%-0.01
anubisD92–722%-0.00
ancient—41–325%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,343Matches
51%Win rate
0.95Avg K/D
78.2ADR
45%Headshot %

Clutches & streaks

40%1v1 clutch win
26%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage22755%1.0114.9
Dust216753%1.0315.3
Inferno9848%1.0515.6
Anubis9344%0.9514.9
Ancient8463%0.9713.7
Nuke7943%0.9414.4
Cache3155%1.2219.9
Train1127%1.0615.6

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.

18.1%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.9%Spray accuracy
81.2%Counter-strafing
8.9°Preaim
564msReaction time
66.8%T opening success
36.4%CT opening success
0.67Enemies flashed / flash
7.6%Flash assists
11.05HE damage / grenade
7.34Flashes / 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 36.3511% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0322%5 Nov →
mirage16–130.0423%31 Oct →
nuke2–130.0126%30 Oct →
mirage13–70.0520%30 Oct →
inferno13–16-0.0411%26 Oct →
nuke22–19-0.035%24 Oct →
mirage9–130.079%23 Oct →
mirage13–80.0210%21 Oct →
inferno10–130.0212%19 Oct →
dust213–8-0.0121%19 Oct →
anubis7–130.0217%17 Oct →
nuke9–13-0.0220%17 Oct →
cache2–13-0.0517%16 Oct →
mirage3–13-0.0213%16 Oct →
anubis7–130.0518%16 Oct →
dust211–130.0016%14 Oct →
cache9–130.0232%14 Oct →
mirage15–150.0324%12 Oct →
mirage0–13-0.0619%10 Oct →
dust23–13-0.0413%10 Oct →
anubis11–130.0014%9 Oct →
dust210–13-0.0320%9 Oct →
nuke2–13-0.0716%6 Oct →
mirage13–3-0.0117%6 Oct →
anubis6–13-0.0519%5 Oct →
dust213–80.0427%5 Oct →
cache13–16-0.0125%4 Oct →
inferno4–130.0214%2 Oct →
dust28–13-0.0521%2 Oct →
mirage13–11-0.0027%2 Oct →
inferno2–13-0.0515%2 Oct →
dust25–13-0.0710%2 Oct →
cache13–4-0.0125%2 Oct →
mirage13–9-0.0320%2 Oct →
cache11–130.0420%1 Oct →
dust20–13-0.110%1 Oct →
inferno11–13-0.0318%27 Sept →
dust213–40.0314%27 Sept →
dust213–9-0.0222%24 Sept →
dust213–00.1628%24 Sept →
ancient5–13-0.1013%22 Sept →
dust213–50.0017%21 Sept →
cache16–120.0216%20 Sept →
nuke10–13-0.0114%20 Sept →
ancient13–80.0121%20 Sept →
dust216–13-0.0113%17 Sept →
inferno13–60.005%17 Sept →
mirage0–13-0.0415%15 Sept →
mirage13–50.0521%14 Sept →
mirage13–50.0620%14 Sept →
dust213–50.0921%14 Sept →
anubis1–60.0215%13 Sept →
dust213–110.0416%13 Sept →
mirage5–13-0.0213%13 Sept →
nuke9–13-0.0715%10 Sept →
inferno8–13-0.0711%10 Sept →
mirage6–13-0.0733%10 Sept →
cache12–160.0421%10 Sept →
nuke8–13-0.0615%10 Sept →
anubis16–140.0121%3 Sept →
dust213–80.0122%3 Sept →
inferno13–70.0315%2 Sept →
mirage13–110.0315%2 Sept →
dust216–140.0519%1 Sept →
nuke13–40.1720%1 Sept →
mirage13–90.1321%1 Sept →
dust213–90.0428%1 Sept →
dust213–70.0719%31 Aug →
dust213–10.2933%31 Aug →
mirage7–13-0.040%27 Aug →
nuke16–12-0.0214%27 Aug →
anubis15–19-0.0219%26 Aug →
mirage5–13-0.0714%25 Aug →
cache13–160.0119%25 Aug →
mirage9–50.0314%25 Aug →
dust26–130.0323%23 Aug →
cache13–110.0429%23 Aug →
cache13–80.0617%23 Aug →
nuke13–6-0.0512%23 Aug →
mirage13–6-0.0218%14 Aug →
nuke13–7-0.0423%11 Aug →
cache16–190.0116%10 Aug →
ancient4–13-0.0332%9 Aug →
mirage11–13-0.0623%9 Aug →
anubis13–11-0.0213%6 Aug →
dust213–7-0.0126%5 Aug →
dust213–40.0528%5 Aug →
mirage13–8-0.0436%5 Aug →
inferno13–110.0619%5 Aug →
ancient7–13-0.0324%2 Aug →
dust23–13-0.0235%2 Aug →
mirage7–130.0614%1 Aug →
inferno10–130.0121%1 Aug →
dust29–13-0.0718%1 Aug →
cache6–13-0.0122%1 Aug →
cache13–11-0.0120%31 Jul →
inferno14–16-0.0512%31 Jul →
dust213–9-0.0511%29 Jul →
nuke13–10-0.0127%29 Jul →
anubis7–13-0.0211%28 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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