vaapukkamehu

vaapukkamehu — CS2 Stats

76561198271298371[U:1:311032643]Steam profile ↗✓ No bans

1,607Tracked matches44%Win rate2020Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating12,688Blue band · top ~40.7% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,688 -2,146 19 Sept – 3 Nov · 7 days played
12,40714,894peak 14,89419 Sept3 Nov
14,999Peak Premier in tracked matches
48Days played since 2025-09-08

Premier CS Rating

  • 2,206 below peak (14,894)
  • Next: Purple band at 15,000 — 2,312 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GGvaapukkamehuPREMIER12,688 · Blue bandcsdb.gg/stats

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Performance scores

Aim58
Positioning53
Utility41

0–100 skill scores via Leetify.

Recent form

COLD36–58–6Last 10036%Win rateLLTLWLLLLW

Last 10 vs previous 10: −40pp win rate · +0.01 avg rating · +1.3pp headshot accuracy · −27ms reaction

Win rate down 40pp 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 12%
  • Avg reaction 628ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 610ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 624ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim5.8
Utility4.1
Positioning5.3
Opening Duels2.1

Limited utility dependence

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 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 626ms 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

Aim5.8
Positioning5.3
Utility4.1
Mechanics6.1
Opening Duels4.3
Win Impact3.1

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time624ms−74ms
first ⅓ avg 697ms → last ⅓ avg 624ms
Headshot accuracy10.6%−5.0%
first ⅓ avg 15.7% → last ⅓ avg 10.6%

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

0.14Best match rating · 13–3 · nuke, 2 Nov →
36%Best headshot accuracy · 4–13 · train, 24 Apr →
469msFastest reaction time · 9–13 · train, 16 Sept →
13–0Biggest win · mirage, 20 Sept →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
4–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 46% over 24anubisWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheB2411–1346%-0.01
nukeD217–1433%-0.00
mirageC125–742%0.02
dust2D102–820%-0.01
infernoC73–443%-0.02
anubisD61–517%-0.00
ancientD61–517%-0.01
overpass—42–250%-0.00
train—40–40%0.01
vertigo—22–0100%0.00
warden—10–10%-0.09
rooftop—11–0100%-0.15
italy—10–10%-0.04
jura—11–0100%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

10.2%Headshot accuracy
37.7%Accuracy (enemy spotted)
38.8%Spray accuracy
77.7%Counter-strafing
10.5°Preaim
626msReaction time
54.4%T opening success
39.8%CT opening success
0.57Enemies flashed / flash
4.0%Flash assists
7.45HE damage / grenade
4.79Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.2193% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 39.7926% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass9–130.0011%4 Nov →
mirage9–130.0115%3 Nov →
anubis15–150.0112%3 Nov →
ancient8–13-0.0210%2 Nov →
nuke13–30.1413%2 Nov →
mirage9–13-0.005%1 Nov →
cache8–13-0.022%1 Nov →
anubis3–13-0.0326%28 Oct →
cache8–130.0112%28 Oct →
nuke13–6-0.045%28 Oct →
inferno15–15-0.058%27 Oct →
nuke7–13-0.029%26 Oct →
cache13–5-0.0920%21 Oct →
nuke13–11-0.0011%21 Oct →
mirage14–16-0.064%19 Oct →
mirage13–90.064%19 Oct →
mirage13–50.0922%15 Oct →
inferno13–4-0.008%11 Oct →
nuke9–13-0.042%8 Oct →
cache13–80.049%8 Oct →
dust26–130.0215%6 Oct →
train7–130.028%6 Oct →
nuke13–2-0.0111%3 Oct →
ancient15–15-0.0112%3 Oct →
nuke13–50.067%29 Sept →
vertigo13–3-0.008%29 Sept →
dust26–130.0517%29 Sept →
overpass5–13-0.048%28 Sept →
nuke4–13-0.0514%28 Sept →
inferno13–100.029%28 Sept →
dust23–13-0.024%28 Sept →
anubis9–13-0.0220%22 Sept →
nuke13–10-0.0010%22 Sept →
inferno13–40.037%22 Sept →
mirage2–13-0.0322%22 Sept →
mirage5–130.0314%29 Aug →
cache9–130.018%29 Aug →
cache13–100.048%29 Aug →
nuke14–160.029%28 Aug →
dust27–130.0223%28 Aug →
anubis13–10.0217%28 Aug →
nuke6–130.0110%28 Aug →
nuke9–130.0111%28 Aug →
cache13–80.0413%28 Aug →
ancient13–100.0015%28 Aug →
inferno6–13-0.0214%27 Aug →
ancient2–13-0.0616%27 Aug →
cache1–13-0.108%26 Jun →
cache12–12-0.0518%26 Jun →
cache13–50.0216%25 Jun →
cache6–13-0.0215%15 Jun →
nuke8–130.0213%12 Jun →
ancient6–130.0113%12 Jun →
cache13–40.0717%12 Jun →
cache7–13-0.0716%14 May →
cache13–40.1021%14 May →
cache10–13-0.0316%13 May →
cache13–4-0.016%13 May →
cache4–13-0.0216%9 May →
cache11–13-0.0213%1 May →
cache13–100.0214%30 Apr →
cache13–30.049%30 Apr →
cache13–4-0.039%30 Apr →
cache7–13-0.0519%30 Apr →
warden8–13-0.0917%29 Apr →
cache6–130.0023%29 Apr →
cache9–13-0.025%29 Apr →
train12–12-0.008%28 Apr →
nuke8–13-0.0713%27 Apr →
dust28–13-0.0316%27 Apr →
dust26–130.0225%25 Apr →
anubis6–13-0.0311%25 Apr →
mirage3–130.0323%25 Apr →
train4–130.0236%24 Apr →
mirage13–30.0227%24 Apr →
anubis11–130.0413%24 Apr →
nuke11–13-0.0413%24 Apr →
dust213–16-0.0524%23 Apr →
mirage13–50.0510%23 Apr →
dust213–5-0.0519%30 Mar →
mirage12–12-0.0416%24 Dec →
dust213–16-0.0513%25 Oct →
rooftop9–5-0.1511%25 Oct →
overpass13–110.018%25 Oct →
vertigo9–50.0119%24 Sept →
nuke10–13-0.0112%22 Sept →
ancient10–130.0021%22 Sept →
nuke4–13-0.066%21 Sept →
nuke13–80.078%21 Sept →
mirage13–00.0622%20 Sept →
inferno11–13-0.0320%20 Sept →
dust213–7-0.0717%19 Sept →
nuke11–130.0010%19 Sept →
overpass13–110.029%19 Sept →
train9–130.018%16 Sept →
italy4–13-0.0417%15 Sept →
nuke5–130.0213%15 Sept →
jura13–110.0619%14 Sept →
nuke13–16-0.0019%11 Sept →
inferno5–13-0.1011%8 Sept →

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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