papa_röys

papa_röys — CS2 Stats

FI76561198201092418[U:1:240826690]Steam profile ↗✓ No bans

1,578Tracked matches45%Win rate2021Tracked since
CSDB Rating4.9 DevelopingSupport
Premier CS Rating16,351Purple band · top ~23% of ranked players (population est.)
FaceitLevel 6 · 1,239 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 16,351 → 16,351
0Faceit ELO · 1,239 → 1,239
+55Tracked matches · now 1,578
−8.7ppWin rate · 53.6% → 44.8%

Rating over time

Premier CS Rating: 16,351 -243 12 Apr – 15 Sept · 6 days played
16,35117,577peak 17,57712 Apr15 Sept
17,577Peak Premier in tracked matches
1,239Highest Faceit ELO seen on CSDB
40Days played since 2026-01-14

Faceit ELO

  • At peak — 1,239
  • Next: Level 7 at 1,351 — 112 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-09-15
  • Level 5 first seen 2026-09-15

Premier CS Rating

  • 1,226 below peak (17,577)
  • Next: Pink band at 20,000 — 3,649 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue 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.GGpapa_röysFACEITLevel 6 · 1,239 ELOSTANDINGTop 54.0% of rankedPREMIER16,351 · Purple bandPEAK ELO1,239csdb.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

Aim66
Positioning44
Utility50

0–100 skill scores via Leetify.

Recent form

COLD47–45–8Last 10047%Win rateLLLLWLLWWL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · −4.8pp headshot accuracy · −114ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 535ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 537ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 594ms

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 (+2.3 against its own average).

Aim6.6
Utility5.0
Positioning4.4
Opening Duels0.0
Clutch1.6

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

Twistzz

Plays most like Twistzz 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

Areas to improve

Reaction time. 585ms 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

Aim6.6
Positioning4.4
Utility5.0
Mechanics5.7
Opening Duels0.8
Win Impact3.3

Composite 4.9/10 (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-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time596ms−46ms
first ⅓ avg 642ms → last ⅓ avg 596ms
Headshot accuracy20.9%+3.1%
first ⅓ avg 17.8% → last ⅓ avg 20.9%

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 · 13–2 · nuke, 31 Jan →
67%Best headshot accuracy · 13–11 · nuke, 11 Sept →
422msFastest reaction time · 13–9 · vertigo, 8 Sept →
13–2Biggest win · cache, 5 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
9–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 57% over 14mirageWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
nukeB2813–1546%-0.02
cacheC166–1038%-0.04
infernoA148–657%-0.04
vertigoA116–555%-0.00
mirageD103–730%-0.04
ancientB84–450%-0.00
dust2—41–325%-0.06
anubis—32–167%-0.00
train—32–167%-0.05
office—10–10%0.01
stronghold—11–0100%0.01
agency—11–0100%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 10). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

270Matches
52%Win rate
0.89Avg K/D
69.7ADR
38%Headshot %

Clutches & streaks

28%1v1 clutch win
15%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7053%0.8913.0
Nuke4961%0.9013.7
Ancient4648%0.8413.7
Anubis3447%0.8213.8
Inferno1650%0.9313.4
Cache1030%0.7814.3
Vertigo1040%0.9315.0
Train944%1.0914.8

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.

19.7%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.8%Spray accuracy
75.5%Counter-strafing
10.9°Preaim
585msReaction time
36.2%T opening success
26.4%CT opening success
0.50Enemies flashed / flash
3.0%Flash assists
5.11HE damage / grenade
13.09Flashes / 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 0.4993 — 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 36.1824% — below the 40% mark we flag

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0316%12 Oct →
vertigo2–13-0.0728%10 Oct →
office7–130.0141%10 Oct →
nuke8–13-0.0313%10 Oct →
nuke13–80.0728%8 Oct →
mirage9–13-0.0910%5 Oct →
vertigo6–13-0.0718%4 Oct →
ancient13–80.0417%30 Sept →
vertigo13–70.079%29 Sept →
nuke5–13-0.0316%29 Sept →
cache11–13-0.0018%29 Sept →
inferno13–8-0.0619%20 Sept →
cache13–11-0.0419%20 Sept →
nuke13–70.0227%20 Sept →
nuke10–13-0.0219%17 Sept →
nuke13–110.0567%11 Sept →
cache5–13-0.0823%11 Sept →
inferno4–13-0.0412%8 Sept →
vertigo13–9-0.030%8 Sept →
nuke12–120.0140%8 Sept →
nuke7–13-0.089%8 Sept →
inferno13–4-0.0422%6 Sept →
cache10–20.0033%6 Sept →
anubis13–70.0130%6 Sept →
cache7–13-0.055%6 Sept →
train6–13-0.0716%5 Sept →
ancient13–16-0.0611%5 Sept →
cache13–2-0.0623%5 Sept →
mirage5–13-0.0420%3 Sept →
mirage13–3-0.0525%29 Aug →
nuke13–11-0.0216%26 Aug →
ancient13–10-0.0618%23 Aug →
ancient13–60.0223%22 Aug →
nuke11–13-0.0618%21 Aug →
vertigo13–110.0124%21 Aug →
cache7–13-0.0331%21 Aug →
nuke13–70.0046%21 Aug →
nuke3–13-0.0824%21 Aug →
nuke1–13-0.1114%21 Aug →
nuke13–16-0.0623%30 Jul →
dust26–13-0.0424%30 Jul →
cache12–12-0.0728%14 May →
cache13–100.0119%14 May →
cache13–10-0.0317%14 May →
cache13–9-0.0323%14 May →
nuke6–13-0.1017%13 May →
nuke12–120.0316%13 May →
inferno10–13-0.0610%12 May →
cache0–8-0.0429%12 May →
cache2–13-0.0717%12 May →
cache1–13-0.125%12 May →
cache3–13-0.0524%12 May →
inferno13–8-0.0622%27 Apr →
ancient11–130.0221%27 Apr →
inferno6–13-0.1015%14 Apr →
dust212–16-0.0326%14 Apr →
nuke13–110.0235%14 Apr →
inferno13–60.0523%13 Apr →
mirage10–130.0211%12 Apr →
ancient16–130.0726%12 Apr →
ancient5–13-0.0411%11 Apr →
nuke13–9-0.0719%11 Apr →
inferno13–11-0.0627%10 Apr →
dust26–13-0.0914%10 Apr →
anubis10–13-0.0231%10 Apr →
mirage10–13-0.0425%10 Apr →
mirage13–10-0.015%25 Mar →
nuke6–13-0.0116%4 Mar →
vertigo13–20.103%10 Feb →
nuke13–70.0320%10 Feb →
vertigo9–130.0510%9 Feb →
nuke10–13-0.0425%9 Feb →
inferno15–15-0.0821%8 Feb →
dust213–5-0.0721%8 Feb →
mirage12–12-0.0719%8 Feb →
nuke13–110.009%6 Feb →
inferno13–100.0123%6 Feb →
nuke13–10-0.0415%6 Feb →
mirage5–13-0.059%6 Feb →
vertigo13–7-0.0117%1 Feb →
nuke4–13-0.0629%1 Feb →
inferno15–150.0023%1 Feb →
ancient5–13-0.0218%1 Feb →
inferno16–14-0.0112%1 Feb →
stronghold13–80.0119%31 Jan →
nuke13–20.1415%31 Jan →
nuke12–12-0.0112%31 Jan →
vertigo12–12-0.038%30 Jan →
train8–2-0.0917%30 Jan →
nuke13–11-0.0524%30 Jan →
inferno13–30.0420%30 Jan →
anubis13–90.0118%30 Jan →
mirage5–13-0.1033%30 Jan →
mirage13–90.0327%20 Jan →
inferno7–13-0.1113%20 Jan →
vertigo11–13-0.0113%20 Jan →
nuke13–7-0.0513%20 Jan →
agency13–5-0.0319%14 Jan →
vertigo8–0-0.0633%14 Jan →
train13–90.0114%14 Jan →

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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