PAPA K

PAPA K — CS2 Stats

76561199443961015[U:1:1483695287]Steam profile ↗✓ No bans

1,345Tracked matches48%Win rate2022Tracked since
CSDB Rating5.8 SolidPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 27 days played since 20 Mar 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 8,438 -3,566 22 Mar10 Jul · 18 days played
6,94312,661peak 12,66122 Mar10 Jul
12,661Peak Premier in tracked matches
27Days played since 2025-03-20

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.GGPAPA KFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81
Positioning50
Utility18

0–100 skill scores via Leetify.

Recent form

COLD45496Last 10045%Win rateWLLWWLLLLL

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · +1.1pp headshot accuracy · −25ms reaction

Win rate down 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

  • 32 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 681ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 628ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 641ms

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 PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim8.1
Utility1.8
Positioning5.0
Opening Duels3.9
Clutch2.0

Excellent counter-strafingLimited 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

ropz

Plays most like ropz 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 630ms 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

Aim8.1
Positioning5.0
Utility1.8
Mechanics8.8
Opening Duels3.1
Win Impact4.4

Composite 5.8/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time641ms−8ms
first ⅓ avg 649ms → last ⅓ avg 641ms
Headshot accuracy18.3%+1.5%
first ⅓ avg 16.8% → last ⅓ avg 18.3%

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

0.12Best match rating · 12–12 · inferno, 1 May
36%Best headshot accuracy · 13–8 · anubis, 9 Jul
469msFastest reaction time · 10–13 · anubis, 24 Mar
13–0Biggest win · inferno, 22 Mar

Across the last 100 tracked matches.

Highlights

7Longest win streak
74In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 63% over 8mirageWeakest map · 37% over 30
MapGradePlayedRecordWin rateAvg rating
mirageC30111937%0.00
infernoC1881044%0.02
ancientB168850%-0.01
anubisB168850%0.02
dust2C94544%-0.03
nukeA85363%-0.02
grail110100%0.02
vertigo1010%0.10
italy1010%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (37% over 30). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

68Matches
50%Win rate
0.79Avg K/D
72.6ADR
38%Headshot %

Clutches & streaks

30%1v1 clutch win
15%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2255%0.8113.1
Anubis1136%0.7813.4
Ancient933%0.6210.4
Inferno862%0.8913.1
Nuke650%0.8711.0
Dust2450%0.8411.8
Vertigo475%0.7510.8
Overpass367%0.819.3

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.

18.3%Headshot accuracy
37.6%Accuracy (enemy spotted)
37.9%Spray accuracy
89.4%Counter-strafing
8.2°Preaim
630msReaction time
42.2%T opening success
42.7%CT opening success
0.42Enemies flashed / flash
3.3%Flash assists
4.07HE damage / grenade
4.75Flashes / 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 0.424 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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

37% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–110.0325%16 Sept
mirage14–160.0026%15 Jan
dust210–13-0.0412%12 Jan
nuke13–80.0321%2 Dec
nuke13–8-0.0218%2 Dec
mirage11–13-0.0224%2 Dec
mirage10–13-0.0515%2 Dec
mirage11–13-0.0126%10 Jul
ancient8–130.0319%10 Jul
ancient6–13-0.0710%9 Jul
mirage3–13-0.0210%9 Jul
anubis16–130.0517%9 Jul
ancient13–110.0716%9 Jul
inferno13–20.0325%9 Jul
anubis13–8-0.0736%9 Jul
mirage13–4-0.0112%9 Jul
mirage13–5-0.0221%9 Jul
mirage13–10.0218%9 Jul
mirage9–130.0321%9 Jul
ancient13–9-0.017%8 Jul
anubis10–10.0114%8 Jul
inferno10–130.0122%8 Jul
nuke9–13-0.0215%8 Jul
inferno11–13-0.0018%8 Jul
anubis12–12-0.0121%8 Jul
mirage5–130.0511%8 Jul
ancient6–13-0.0711%8 Jul
anubis8–130.0314%8 Jul
dust216–14-0.0020%8 Jul
inferno16–14-0.0214%7 Jul
nuke4–13-0.0821%7 Jul
dust212–120.0117%7 Jul
inferno5–130.0624%7 Jul
dust22–13-0.0518%7 Jul
anubis10–130.0017%7 Jul
ancient5–13-0.0216%7 Jul
ancient16–130.0616%5 Jul
nuke13–70.0018%5 Jul
mirage7–130.028%5 Jul
mirage15–15-0.0116%4 Jul
ancient13–160.0119%4 Jul
anubis13–80.0633%4 Jul
anubis13–90.0224%4 Jul
grail13–90.0219%4 Jul
anubis13–16-0.0519%1 Jul
inferno13–10-0.0223%30 Jun
mirage13–9-0.0422%30 Jun
ancient7–13-0.024%30 Jun
vertigo2–70.1030%30 Jun
inferno3–130.0321%30 Jun
nuke13–10-0.0114%29 Jun
mirage13–60.0014%28 Jun
anubis13–60.0214%28 Jun
inferno12–120.1217%1 May
inferno4–130.0219%1 May
dust213–40.0214%1 May
mirage13–4-0.0012%1 May
anubis10–130.0913%11 Apr
inferno3–13-0.0616%11 Apr
ancient9–13-0.0123%11 Apr
dust213–11-0.0216%3 Apr
mirage9–130.0514%2 Apr
inferno12–120.0221%2 Apr
inferno13–100.0118%2 Apr
nuke13–7-0.0610%2 Apr
dust22–13-0.1227%1 Apr
anubis12–12-0.0319%1 Apr
mirage3–120.0521%1 Apr
anubis13–10-0.0419%1 Apr
mirage13–9-0.0811%31 Mar
dust28–13-0.0313%31 Mar
mirage3–100.1029%31 Mar
ancient13–11-0.0318%31 Mar
anubis13–40.098%30 Mar
inferno13–20.0419%29 Mar
mirage8–130.0712%29 Mar
inferno5–13-0.016%25 Mar
mirage10–13-0.028%25 Mar
ancient13–11-0.046%25 Mar
ancient2–13-0.0517%25 Mar
anubis8–130.058%24 Mar
mirage13–40.0019%24 Mar
anubis10–130.0513%24 Mar
mirage10–130.0115%24 Mar
ancient13–100.0111%23 Mar
dust213–4-0.0112%23 Mar
mirage16–130.0123%23 Mar
mirage7–130.0232%23 Mar
inferno13–20.0328%23 Mar
mirage2–13-0.0317%23 Mar
mirage2–13-0.0228%23 Mar
mirage7–13-0.0324%23 Mar
italy8–130.0614%23 Mar
nuke4–130.0220%22 Mar
inferno13–00.0722%22 Mar
mirage13–80.0213%20 Mar
inferno6–130.0520%20 Mar
mirage13–50.0525%20 Mar
ancient13–5-0.059%20 Mar
ancient13–60.0715%20 Mar

Match data via Leetify.

Milestones

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