PaPerVu (*^_^*)

PaPerVu (*^_^*) — CS2 Stats

76561198117224366[U:1:156958638]Steam profile ↗✓ No bans

1,004Tracked matches48%Win rate2020Tracked since
2,108Hours in CS
CSDB Rating4.6 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

+1Tracked matches · now 1,004
0.0ppWin rate · 48.0% → 48.0%

Rating over time

Premier CS Rating: 26,617 -486 25 Apr – 3 Jul · 8 days played
26,61727,852peak 27,85225 Apr3 Jul
27,852Peak Premier in tracked matches
33Days played since 2026-04-23

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches1——
Win rate0%——
K/D1.13——
Headshot %22%——

Measured 19 Sep 2026 → 17 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Performance scores

Aim54
Positioning55
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY47–41–12Last 10047%Win rateLLLWWWTTWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +1.9pp headshot accuracy · +45ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 609ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 582ms

Last 20

  • 8–9–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 560ms

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 (+1.3 against its own average).

Aim5.4
Utility3.7
Positioning5.5
Opening Duels2.8
Clutch4.6

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

donk

Plays most like donk 86% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 555ms 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

Aim5.4
Positioning5.5
Utility3.7
Mechanics4.8
Opening Duels2.0
Win Impact4.3

Composite 4.6/10 (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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time564ms−5ms
first ⅓ avg 569ms → last ⅓ avg 564ms
Headshot accuracy17.6%+0.1%
first ⅓ avg 17.5% → last ⅓ avg 17.6%

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

0.16Best match rating · 13–1 · inferno, 25 Apr →
30%Best headshot accuracy · 13–8 · cache, 6 May →
406msFastest reaction time · 1–5 · office, 15 May →
13–0Biggest win · nuke, 25 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
4–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 71% over 14overpassWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B2111–1052%0.02
mirageD155–1033%0.02
infernoS1410–471%0.05
cacheC135–838%0.03
ancientC125–742%0.03
nukeA127–558%0.01
overpassD61–517%0.02
anubisC52–340%0.02
office—21–150%0.06

Across the last 100 tracked matches.

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

Lifetime stats

84,303Lifetime kills
0.94K/D
5,053Matches
45.6%Match win rate · Top 50% of tracked players
38.8%Headshot %
13.0%Shot accuracy · Top 50% of tracked players
10,780MVPs
2,108Hours (in match)
7,387Bombs planted
1,300Bombs defused

Most-used weapons

AK-4721,418
AWP8,325
P905,519
P2503,068
Tec-92,442

Lifetime map wins

10,663dust2
8,386inferno
4,844nuke
2,262train
1,122cbble
496vertigo
244office
80dust

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

22Matches
68%Win rate
1.43Avg K/D
98.3ADR
40%Headshot %

Clutches & streaks

43%1v1 clutch win
38%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno475%1.9622.3
Ancient3100%1.3816.7
Overpass250%1.5619.0
Anubis2100%1.4220.5
Dust22100%1.5315.5
Nuke1100%1.7319.0

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.

17.8%Headshot accuracy
32.4%Accuracy (enemy spotted)
35.0%Spray accuracy
71.6%Counter-strafing
12.0°Preaim
555msReaction time
32.3%T opening success
43.7%CT opening success
0.45Enemies flashed / flash
10.5%Flash assists
12.38HE damage / grenade
2.08Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0226° — above the 12° mark we flag

    Aim Training →
  2. 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 0.4541 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–130.067%19 Sept →
ancient7–13-0.0218%2 Aug →
cache8–13-0.0016%2 Aug →
mirage13–60.0423%2 Aug →
dust213–70.0223%2 Aug →
dust213–50.0715%29 Jul →
mirage12–12-0.008%27 Jul →
dust212–120.0221%26 Jul →
ancient13–5-0.0113%26 Jul →
cache5–130.0523%12 Jul →
dust213–70.0810%4 Jul →
nuke10–13-0.0419%4 Jul →
inferno13–9-0.0120%3 Jul →
inferno9–13-0.0124%28 Jun →
overpass8–13-0.0214%20 Jun →
nuke13–4-0.0421%20 Jun →
mirage12–120.0314%20 Jun →
inferno4–00.010%20 Jun →
dust23–13-0.0212%20 Jun →
ancient8–13-0.0012%19 Jun →
mirage2–130.0223%19 Jun →
dust213–110.0430%19 Jun →
mirage3–130.1121%13 Jun →
ancient8–130.0519%13 Jun →
dust212–120.0327%13 Jun →
overpass11–130.0111%13 Jun →
ancient13–80.0318%13 Jun →
mirage13–90.0317%13 Jun →
nuke12–120.0824%13 Jun →
dust213–90.0519%9 Jun →
dust26–130.0129%6 Jun →
mirage5–13-0.0614%30 May →
ancient2–13-0.0416%30 May →
cache13–30.0513%30 May →
nuke13–2-0.0129%30 May →
dust213–7-0.0312%30 May →
mirage12–120.0518%30 May →
mirage8–130.0110%27 May →
anubis12–120.0210%27 May →
inferno13–100.0024%27 May →
cache5–13-0.0316%25 May →
inferno13–110.0913%25 May →
mirage13–40.0116%25 May →
dust21–10-0.0426%23 May →
office13–80.0925%16 May →
nuke16–140.0218%16 May →
office1–50.0325%15 May →
cache10–130.098%12 May →
inferno11–130.1520%12 May →
mirage7–130.0017%12 May →
dust213–70.0429%9 May →
dust213–20.0719%9 May →
inferno13–50.0515%9 May →
dust212–12-0.0220%9 May →
cache11–130.0830%9 May →
inferno2–130.0116%8 May →
nuke13–20.0816%8 May →
cache13–100.0419%8 May →
ancient11–130.1022%8 May →
dust212–12-0.0114%8 May →
dust213–60.0314%7 May →
mirage12–12-0.0212%7 May →
nuke7–130.0423%7 May →
cache13–50.0513%6 May →
ancient13–80.0413%6 May →
mirage5–130.0517%6 May →
dust213–80.059%6 May →
inferno12–120.026%6 May →
nuke13–10.0415%6 May →
cache13–80.0130%6 May →
overpass13–40.1223%4 May →
dust23–13-0.059%4 May →
cache13–70.0227%4 May →
inferno13–10.1116%3 May →
anubis13–80.0819%3 May →
ancient13–30.0413%3 May →
ancient13–90.0414%3 May →
overpass7–130.0417%3 May →
nuke13–4-0.0122%2 May →
inferno13–100.0512%1 May →
dust213–60.0419%1 May →
cache11–13-0.0215%1 May →
cache1–13-0.0524%30 Apr →
cache3–130.0318%30 Apr →
overpass1–13-0.0719%26 Apr →
inferno13–60.0819%26 Apr →
mirage13–70.0522%26 Apr →
nuke3–13-0.0019%26 Apr →
anubis6–13-0.0214%25 Apr →
anubis13–90.0216%25 Apr →
mirage13–110.0519%25 Apr →
nuke13–00.0419%25 Apr →
inferno13–80.018%25 Apr →
ancient12–120.0611%25 Apr →
dust28–130.0311%25 Apr →
nuke3–13-0.0430%25 Apr →
anubis3–13-0.0121%25 Apr →
inferno13–10.1617%25 Apr →
overpass6–130.0617%25 Apr →
dust27–130.0718%23 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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