PapaPeer™

PapaPeer™ — CS2 Stats

NL76561199114549671[U:1:1154283943]Steam profile ↗✓ No bans

1,606Tracked matches41%Win rate2024Tracked since
2,104Hours in CS20Hrs last 2 wks
CSDB Rating6.4 SolidPositional Player
Premier CS Rating19,046Top 50% of 200,982 CSDB-tracked playersPurple band · top ~12.3% of ranked players (population est.)
CSDB Leaderboard#93660 of 247922 tracked
FaceitLevel 6 · 1,230 ELOTop 54.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches107——
Win rate40%——
K/D1.04——
Headshot %43%——

Measured 30 Aug 2026 → 2 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.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=12,868), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 6 medianLevel 7 medianvs Level 7
Headshot rate43.0%44.8%45.7%2.7% short
Shot accuracy0.1%12.4%12.7%12.6% short
Kill/death ratio0.961.031.050.09 short
Match win rate46.4%45.2%45.7%meets

This profile matches the typical Level 7 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPapaPeer™FACEITLevel 6 · 1,230 ELOSTANDINGTop 54.0% of rankedPREMIER19,046 · Purple bandcsdb.gg/stats

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Performance scores

Aim85
Positioning65
Utility39

0–100 skill scores via Leetify.

Recent form

COLD37–54–9Last 10037%Win rateLWLTLLWLWL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −0.4pp headshot accuracy · +49ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 541ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 530ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 505ms

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 (+1.1 against its own average).

Aim8.5
Utility3.9
Positioning6.5
Opening Duels5.5
Clutch5.6

Sharp aimer

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

s1mple

Plays most like s1mple 95% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Strengths

T openings. 65% T opening-duel success — entries that actually open the round.

Areas to improve

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

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

Aim8.5
Positioning6.5
Utility3.9
Mechanics6.7
Opening Duels7.4
Win Impact1.9

Composite 6.4/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time491ms+10ms
first ⅓ avg 481ms → last ⅓ avg 491ms
Headshot accuracy16.9%−1.5%
first ⅓ avg 18.4% → last ⅓ avg 16.9%

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

0.26Best match rating · 13–0 · overpass, 9 Sept →
44%Best headshot accuracy · 13–5 · office, 9 Sept →
375msFastest reaction time · 13–10 · office, 16 Sept →
13–0Biggest win · overpass, 9 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–2In matches decided by ≤2 rounds

Map breakdown

officeBest map · 67% over 15anubisWeakest map · 28% over 25
MapGradePlayedRecordWin rateAvg rating
anubisD257–1828%-0.00
vertigoD196–1332%-0.00
officeS1510–567%0.04
nukeC135–838%-0.00
cacheD62–433%0.02
infernoD62–433%0.02
mirageB63–350%-0.01
ancient—40–40%-0.00
dust2—31–233%-0.01
overpass—21–150%0.12
train—10–10%-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (28% over 25). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,467Lifetime kills
0.96K/D
3,100Matches
46.4%Match win rate · Top 50% of Level 6 players
43.0%Headshot %
0.1%Shot accuracy
8,085MVPs
1,136Hours (in match)
3,309Bombs planted
772Bombs defused

Most-used weapons

Lifetime map wins

6,067nuke
3,907inferno
2,106vertigo
1,744dust2
1,032office
312train
88italy
12lake

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

Faceit stats

Combat

23Matches
61%Win rate
0.99Avg K/D
74.1ADR
49%Headshot %

Clutches & streaks

48%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno944%0.8113.0
Nuke475%1.0014.0
Dust23100%1.3217.7
Anubis367%1.2211.3
Ancient250%0.9112.5
Train1100%1.4619.0
Mirage10%0.578.0

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.

16.7%Headshot accuracy
38.4%Accuracy (enemy spotted)
43.7%Spray accuracy
80.2%Counter-strafing
9.5°Preaim
488msReaction time
64.7%T opening success
54.6%CT opening success
0.38Enemies flashed / flash
1.2%Flash assists
12.27HE damage / grenade
5.78Flashes / 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 0.3846 — below the 0.5 mark we flag

    Grenade Lineups →
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.

28% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–130.0314%30 Sept →
nuke13–8-0.017%30 Sept →
nuke5–13-0.0327%30 Sept →
inferno12–12-0.0417%27 Sept →
anubis10–130.009%26 Sept →
anubis7–13-0.0123%26 Sept →
anubis13–9-0.0620%25 Sept →
vertigo8–130.0514%23 Sept →
cache13–80.0514%23 Sept →
nuke5–130.0327%19 Sept →
anubis3–13-0.0613%19 Sept →
vertigo13–110.0829%19 Sept →
ancient7–13-0.0016%19 Sept →
nuke13–30.0320%19 Sept →
vertigo10–130.0317%19 Sept →
office13–11-0.0620%19 Sept →
anubis5–13-0.0519%19 Sept →
anubis7–13-0.056%18 Sept →
office13–9-0.0313%18 Sept →
vertigo5–13-0.0721%17 Sept →
vertigo13–80.050%17 Sept →
mirage4–13-0.0211%16 Sept →
anubis1–13-0.039%16 Sept →
office13–100.0415%16 Sept →
dust24–13-0.0130%16 Sept →
anubis12–12-0.078%16 Sept →
dust213–8-0.0318%15 Sept →
mirage13–9-0.0510%14 Sept →
office12–120.0132%13 Sept →
nuke8–13-0.0324%13 Sept →
anubis13–11-0.0111%13 Sept →
vertigo5–130.0112%13 Sept →
overpass3–13-0.0232%12 Sept →
anubis0–13-0.0825%12 Sept →
ancient7–13-0.0413%12 Sept →
vertigo8–13-0.0219%12 Sept →
mirage12–12-0.0219%12 Sept →
nuke13–7-0.0030%12 Sept →
anubis4–130.0211%12 Sept →
anubis12–120.0630%12 Sept →
inferno9–130.016%12 Sept →
anubis12–12-0.0413%11 Sept →
office10–130.0429%11 Sept →
vertigo13–11-0.0323%11 Sept →
cache6–13-0.0317%11 Sept →
vertigo7–130.039%10 Sept →
anubis10–13-0.009%10 Sept →
nuke13–5-0.0327%9 Sept →
anubis13–10.0627%9 Sept →
vertigo1–13-0.0218%9 Sept →
overpass13–00.265%9 Sept →
office13–50.0744%9 Sept →
anubis5–13-0.0025%8 Sept →
vertigo10–13-0.0419%8 Sept →
office6–13-0.0235%8 Sept →
ancient4–13-0.0013%7 Sept →
nuke8–13-0.0526%7 Sept →
vertigo13–100.1125%7 Sept →
cache8–13-0.0239%7 Sept →
anubis13–80.078%7 Sept →
nuke3–130.0521%7 Sept →
office13–60.1439%7 Sept →
inferno12–120.1016%7 Sept →
office13–70.0928%7 Sept →
anubis7–130.0811%6 Sept →
office10–130.0137%6 Sept →
anubis13–11-0.0712%6 Sept →
inferno5–90.0220%6 Sept →
vertigo5–130.0421%6 Sept →
vertigo3–13-0.0714%6 Sept →
nuke8–130.018%6 Sept →
cache6–130.0222%6 Sept →
vertigo7–13-0.0524%5 Sept →
mirage13–10.0610%5 Sept →
ancient11–130.0317%5 Sept →
office13–60.0518%5 Sept →
nuke13–6-0.048%4 Sept →
inferno9–40.0113%4 Sept →
anubis13–110.0011%4 Sept →
anubis3–13-0.0015%4 Sept →
dust27–130.0225%4 Sept →
anubis12–120.1315%3 Sept →
office13–70.0223%3 Sept →
office13–10-0.0133%2 Sept →
vertigo10–13-0.0228%2 Sept →
nuke4–13-0.0116%1 Sept →
anubis7–13-0.0012%1 Sept →
vertigo6–13-0.0820%1 Sept →
cache13–70.0530%1 Sept →
mirage13–80.0419%31 Aug →
nuke11–130.0613%31 Aug →
anubis3–4-0.0325%31 Aug →
office3–130.0924%31 Aug →
vertigo13–8-0.0319%31 Aug →
mirage2–13-0.0613%30 Aug →
office13–50.1523%30 Aug →
train12–12-0.0610%30 Aug →
vertigo13–8-0.0328%30 Aug →
inferno13–70.0117%30 Aug →
anubis4–130.0314%29 Aug →

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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