Vappeman

Vappeman — CS2 Stats

76561198168526375[U:1:208260647]Steam profile ↗✓ No bans

1,336Tracked matches33%Win rate2023Tracked since
CSDB Rating4.8 DevelopingSupport
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 16,433 -1,896 26 Apr – 29 Jun · 44 days played
16,43321,141peak 21,14126 Apr29 Jun
21,141Peak Premier in tracked matches
45Days played since 2026-04-26

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

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CSDB.GGVappemanFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim70
Positioning38
Utility49

0–100 skill scores via Leetify.

Recent form

COLD50–49–1Last 10050%Win rateLLLWLLLLLW

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · +0.6pp headshot accuracy · +46ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 602ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 639ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 616ms

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 (+1.3 against its own average).

Aim7.0
Utility4.9
Positioning3.8
Opening Duels2.0

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

NiKo

Plays most like NiKo 93% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

Reaction time. 620ms 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

Aim7.0
Positioning3.8
Utility4.9
Mechanics7.1
Opening Duels1.2
Win Impact0.0

Composite 4.8/10 (Developing), 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-0.02−0.04
first ⅓ avg 0.03 → last ⅓ avg -0.02
Reaction time621ms−16ms
first ⅓ avg 637ms → last ⅓ avg 621ms
Headshot accuracy16.2%−1.7%
first ⅓ avg 18.0% → last ⅓ avg 16.2%

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

0.17Best match rating · 13–7 · ancient, 28 Apr →
45%Best headshot accuracy · 13–1 · mirage, 27 Apr →
391msFastest reaction time · 1–13 · inferno, 23 May →
13–1Biggest win · anubis, 27 Jun →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
8–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 74% over 19infernoWeakest map · 41% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B2110–1148%-0.00
ancientS1914–574%0.03
infernoC177–1041%-0.01
anubisC167–944%0.01
nukeC125–742%-0.01
mirageB115–645%0.02
overpass—31–233%0.02
cache—11–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (41% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

50Matches
44%Win rate
0.89Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

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.

17.3%Headshot accuracy
34.8%Accuracy (enemy spotted)
44.3%Spray accuracy
81.8%Counter-strafing
10.8°Preaim
620msReaction time
30.0%T opening success
39.3%CT opening success
0.47Enemies flashed / flash
7.6%Flash assists
4.55HE damage / grenade
10.54Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.468 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 29.9877% — below the 40% mark we flag

Spend your practice time on Inferno

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

41% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.0514%8 Aug →
inferno6–13-0.1212%29 Jun →
dust27–13-0.0410%28 Jun →
anubis13–10.058%27 Jun →
mirage4–13-0.0612%24 Jun →
anubis9–13-0.0413%23 Jun →
mirage8–13-0.0316%22 Jun →
mirage8–13-0.0314%20 Jun →
dust25–13-0.0224%20 Jun →
inferno16–140.0227%16 Jun →
anubis11–13-0.0214%14 Jun →
nuke4–13-0.118%13 Jun →
inferno13–60.0518%12 Jun →
ancient13–40.0319%11 Jun →
nuke13–20.0416%10 Jun →
dust22–130.0214%10 Jun →
ancient4–13-0.0411%9 Jun →
mirage13–40.0414%6 Jun →
ancient13–20.0316%6 Jun →
dust29–13-0.0512%6 Jun →
dust24–13-0.1023%5 Jun →
anubis13–90.0117%5 Jun →
dust210–13-0.0618%4 Jun →
nuke9–13-0.0617%4 Jun →
mirage13–70.0519%4 Jun →
inferno10–13-0.0222%4 Jun →
nuke10–130.0027%3 Jun →
inferno8–130.0322%3 Jun →
inferno4–13-0.0921%2 Jun →
dust213–30.0127%31 May →
ancient13–7-0.053%31 May →
ancient11–130.047%27 May →
dust213–100.0421%26 May →
dust213–100.0110%25 May →
ancient13–20.0718%25 May →
ancient4–13-0.0518%25 May →
anubis9–13-0.0117%24 May →
dust213–50.0323%24 May →
dust213–70.1023%24 May →
ancient16–120.0310%24 May →
nuke13–5-0.0320%23 May →
inferno13–20.0423%23 May →
inferno1–13-0.0712%23 May →
dust26–13-0.0515%23 May →
ancient13–110.0421%22 May →
mirage13–90.0420%22 May →
nuke13–110.1016%21 May →
nuke5–13-0.0727%20 May →
inferno13–16-0.0115%19 May →
anubis10–13-0.0221%17 May →
dust213–10.0835%17 May →
mirage10–130.0521%14 May →
mirage13–10.1310%13 May →
anubis13–11-0.0119%12 May →
inferno13–70.0211%12 May →
inferno13–80.0218%11 May →
ancient13–30.0617%11 May →
inferno4–13-0.039%11 May →
inferno13–40.0126%10 May →
ancient13–10.0923%10 May →
overpass9–130.0522%10 May →
nuke13–9-0.0328%9 May →
inferno13–7-0.0219%9 May →
ancient13–8-0.0111%8 May →
inferno3–13-0.0825%8 May →
ancient9–130.0327%8 May →
anubis13–6-0.0027%8 May →
dust213–100.0115%7 May →
anubis7–13-0.0316%7 May →
ancient13–90.1013%6 May →
nuke11–130.0914%5 May →
dust26–13-0.0130%5 May →
anubis13–11-0.0033%29 Apr →
anubis13–80.0422%29 Apr →
anubis13–110.0112%29 Apr →
nuke16–140.0113%29 Apr →
anubis7–130.0018%29 Apr →
ancient6–130.0315%29 Apr →
mirage8–13-0.0020%29 Apr →
anubis15–150.1216%29 Apr →
cache13–10.0623%28 Apr →
ancient13–70.1716%28 Apr →
inferno5–130.0512%28 Apr →
ancient13–50.0714%28 Apr →
inferno10–130.0519%27 Apr →
mirage13–10.0245%27 Apr →
nuke10–13-0.0411%27 Apr →
anubis5–130.0921%27 Apr →
dust28–130.0717%27 Apr →
overpass13–40.0812%27 Apr →
ancient13–11-0.0318%27 Apr →
nuke9–130.0223%27 Apr →
mirage9–130.0318%27 Apr →
dust213–3-0.0025%27 Apr →
dust213–50.0113%26 Apr →
dust213–70.0623%26 Apr →
dust27–13-0.0417%26 Apr →
dust25–13-0.0912%26 Apr →
ancient13–100.029%26 Apr →
overpass3–13-0.078%26 Apr →

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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