papap

papap — CS2 Stats

DE76561198115578411[U:1:155312683]Steam profile ↗✓ No bans

4,534Tracked matches52%Win rate2020Tracked since
CSDB Rating6.7 SolidPositional Player
CSDB Leaderboard#29299 of 242547 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 65 days played since 10 Jul 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 24,125 +4,500 9 Aug – 23 Oct · 11 days played
19,62524,125peak 24,1259 Aug23 Oct
24,125Peak Premier in tracked matches
3,047Highest Faceit ELO seen on CSDB
65Days played since 2025-07-10

Faceit ELO

  • At peak — 3,047
  • Next: 3,500 ELO at 3,500 — 453 to go
  • Reached: 3,000 ELO · 2,500 ELO · Level 10 · Level 9

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

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CSDB.GGpapapPEAK ELO3,047csdb.gg/stats

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Performance scores

Aim87
Positioning54
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWWWWWLWLLL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −6.4pp headshot accuracy · −12ms reaction

Win rate +10pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 24%
  • Avg reaction 560ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 558ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 564ms

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 (+0.9 against its own average).

Aim8.7
Utility5.1
Positioning5.4
Opening Duels3.4
Clutch4.2

Sharp aimerStrong CT-side opener

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 92% playstyle similarity

Most alike: aim profile, positioning 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 33 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.

T-side openings. Opening success drops from 53% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 609ms 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

Aim8.7
Positioning5.4
Utility5.1
Mechanics7.1
Opening Duels3.3
Win Impact5.6

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time631ms+91ms
first ⅓ avg 540ms → last ⅓ avg 631ms
Headshot accuracy27.2%−4.2%
first ⅓ avg 31.4% → last ⅓ avg 27.2%

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

0.35Best match rating · 0–2 · overpass, 23 Jul →
100%Best headshot accuracy · 5–2 · nuke, 8 Jan →
422msFastest reaction time · 13–7 · inferno, 6 Oct →
13–1Biggest win · ancient, 8 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W5Current streak
5–8In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 88% over 8anubisWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
ancientB2915–1452%0.03
infernoA148–657%0.04
overpassB137–654%0.04
dust2C94–544%0.04
nukeS87–188%0.04
mirageS75–271%0.03
anubisC73–443%0.05
vertigo—42–250%0.03
palacio—31–233%0.01
warden—10–10%-0.05
stronghold—11–0100%-0.01
alpine—10–10%0.01
golden—10–10%0.05
office—11–0100%0.02
train—11–0100%0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,963Matches
52%Win rate
1.15Avg K/D
80.7ADR
52%Headshot %

Clutches & streaks

41%1v1 clutch win
23%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient57056%1.1916.8
Anubis41354%1.1516.6
Mirage37145%1.0115.2
Dust219646%1.0215.2
Inferno17153%1.1517.3
Nuke16354%1.1416.4
Overpass9355%1.1116.5
Vertigo6453%1.2216.9

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.

25.2%Headshot accuracy
40.1%Accuracy (enemy spotted)
43.5%Spray accuracy
81.9%Counter-strafing
9.8°Preaim
609msReaction time
33.6%T opening success
52.8%CT opening success
0.42Enemies flashed / flash
14.4%Flash assists
6.72HE damage / grenade
7.93Flashes / 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 0.425 — 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 33.5633% — 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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–80.0723%17 Sept →
ancient13–9-0.0526%17 Sept →
ancient13–40.1330%12 Aug →
ancient13–80.0115%10 Aug →
ancient13–40.0723%15 Jul →
ancient9–130.0121%13 Jul →
inferno13–110.0028%29 May →
dust29–130.015%8 May →
ancient14–160.0020%8 May →
ancient9–13-0.0829%1 May →
inferno13–110.0130%21 Apr →
anubis11–130.0227%30 Mar →
ancient13–5-0.0011%27 Mar →
ancient13–40.0021%27 Mar →
overpass9–13-0.0425%23 Mar →
mirage10–130.0152%20 Mar →
vertigo12–12-0.0024%11 Mar →
anubis10–130.0417%5 Mar →
ancient13–60.1360%3 Mar →
dust213–30.1119%27 Feb →
dust212–120.0324%5 Feb →
warden7–13-0.0512%31 Jan →
stronghold13–9-0.0120%29 Jan →
alpine9–130.0113%23 Jan →
palacio11–00.0646%18 Jan →
palacio12–9-0.0526%17 Jan →
palacio12–120.0329%13 Jan →
anubis9–130.0520%12 Jan →
vertigo6–130.1219%8 Jan →
nuke5–2-0.01100%8 Jan →
golden11–130.0525%8 Jan →
anubis13–50.0242%6 Jan →
vertigo13–9-0.0115%6 Jan →
nuke13–90.0948%6 Jan →
nuke13–70.0133%19 Dec →
overpass14–16-0.0813%18 Dec →
office13–50.0217%17 Dec →
vertigo13–80.0313%17 Dec →
nuke13–50.0413%17 Dec →
ancient7–130.0224%15 Dec →
nuke13–110.0919%9 Dec →
ancient10–130.0840%20 Nov →
anubis13–80.0922%17 Nov →
ancient7–130.0825%7 Nov →
nuke13–80.0318%24 Oct →
overpass13–70.0820%23 Oct →
inferno9–40.2734%23 Oct →
ancient13–100.0326%22 Oct →
ancient10–130.1224%22 Oct →
inferno2–13-0.0519%16 Oct →
dust29–13-0.0336%16 Oct →
overpass13–100.0527%13 Oct →
inferno13–70.1029%6 Oct →
ancient10–13-0.0323%3 Oct →
dust213–30.0331%2 Oct →
dust21–130.0013%2 Oct →
ancient13–90.0422%15 Sept →
overpass13–16-0.0132%15 Sept →
dust219–150.0834%12 Sept →
ancient13–160.0928%12 Sept →
ancient13–20.0421%12 Sept →
mirage13–70.0314%10 Sept →
inferno10–130.0625%10 Sept →
ancient13–60.1120%10 Sept →
dust211–130.0420%10 Sept →
overpass13–80.0117%10 Sept →
ancient6–13-0.0131%5 Sept →
inferno6–13-0.0122%5 Sept →
overpass9–13-0.0539%5 Sept →
inferno13–80.0135%24 Aug →
ancient2–13-0.0833%24 Aug →
inferno13–80.0624%24 Aug →
overpass13–40.1222%23 Aug →
inferno13–16-0.0138%22 Aug →
ancient13–110.0219%22 Aug →
train13–80.1335%21 Aug →
inferno13–100.0233%19 Aug →
nuke11–12-0.0430%12 Aug →
ancient10–13-0.0125%12 Aug →
inferno13–90.0436%11 Aug →
mirage13–3-0.0143%9 Aug →
overpass13–60.0937%8 Aug →
mirage9–13-0.0034%8 Aug →
ancient13–10.0731%8 Aug →
ancient13–60.0734%7 Aug →
inferno5–13-0.0229%7 Aug →
mirage13–20.0522%7 Aug →
dust213–70.0719%7 Aug →
mirage13–80.0617%4 Aug →
inferno11–130.0125%4 Aug →
overpass13–90.0035%1 Aug →
overpass0–20.35100%23 Jul →
overpass13–80.0933%21 Jul →
anubis10–130.0216%19 Jul →
ancient6–130.0226%19 Jul →
nuke13–110.0927%19 Jul →
overpass3–13-0.0426%16 Jul →
ancient13–4-0.0033%11 Jul →
ancient9–130.0835%11 Jul →
anubis13–100.1122%10 Jul →

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →