Papa_Johns

Papa_Johns — CS2 Stats

US76561199596055896[U:1:1635790168]Steam profile ↗

1,794Tracked matches57%Win rate2024Tracked since
1,776Hours in CS24Hrs last 2 wks
CSDB Rating6.0 Solid
Premier CS Rating21,934Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)
CSDB Leaderboard#8565 of 28554 tracked
FaceitLevel 6 · 1,268 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=862), 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 rate39.7%44.9%46.2%6.5% short
Shot accuracy0.0%11.8%12.5%12.5% short
Kill/death ratio1.031.041.060.03 short
Match win rate44.2%45.3%45.9%1.6% short

This profile sits below the typical Level 7 player on every metric we can compare.

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.GGPapa_JohnsFACEITLevel 6 · 1,268 ELOSTANDINGTop 54.0% of rankedPREMIER21,934 · Pink bandcsdb.gg/stats

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Performance scores

Aim59
Positioning58
Utility85

0–100 skill scores via Leetify.

Recent form

STEADY50446Last 10050%Win rateLLLWWWWLLT

Last 10 vs previous 10: -40pp win rate · +0.01 avg rating

Player DNA

Aim5.9
Aggression6.9
Utility8.5
Positioning5.8
Opening Duels3.7
Clutch5.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: positioning profile, opening-fight frequency.

Where you differ: 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

Strengths

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 85 — grenade impact well above the norm.

Areas to improve

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.9
Positioning5.8
Utility8.5
Mechanics4.1
Opening Duels3.7
Win Impact7.4

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time515ms−71ms
first ⅓ avg 586ms → last ⅓ avg 515ms
Headshot accuracy11.8%−0.8%
first ⅓ avg 12.6% → last ⅓ avg 11.8%

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.

Highlights

0.17Best rating — inferno 13–3
131Biggest win — mirage
5Longest win streak
L3Current streak
42In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 86% over 7anubisWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
infernoB41212051%0.00
cacheB157847%0.03
anubisC145936%-0.01
dust2A148657%0.03
mirageS76186%0.02
ancientC52340%-0.01
nuke31233%-0.01
overpass1010%0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,323Lifetime kills
1.03K/D
2,166Matches
44.2%Match win rate
39.7%Headshot %
0.0%Shot accuracy
4,253MVPs
820Hours (in match)
1,483Bombs planted
592Bombs defused

Most-used weapons

AK-479,432
MAC-104,788
MP92,853
AWP1,714
HE Grenade652
Knife544

Lifetime map wins

4,126inferno
1,604dust2
1,571vertigo
1,211nuke
173train
119italy
107office
32ar_baggage

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

Faceit stats

Combat

144Matches
52%Win rate
1.15Avg K/D
95.3ADR
38%Headshot %

Clutches & streaks

47%1v1 clutch win
39%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage5252%1.0613.8
Dust22148%1.1213.9
Ancient1844%1.2517.3
Inferno1573%1.4621.1
Nuke1242%1.1714.8
Overpass1060%1.2715.9
Anubis875%1.0614.6
Vertigo50%0.537.8

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.

12.1%Headshot accuracy
33.8%Accuracy (enemy spotted)
41.0%Spray accuracy
68.6%Counter-strafing
10.9°Preaim
517msReaction time
38.1%T opening success
51.6%CT opening success
0.78Enemies flashed / flash
9.2%Flash assists
16.07HE damage / grenade
20.39Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.1104% — below the 15% mark we flag

    Aim Training
  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 38.1147% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0516%29 Aug
inferno7–130.029%28 Aug
inferno10–130.0218%27 Aug
inferno13–70.0710%26 Aug
inferno13–3-0.0611%25 Aug
inferno13–40.036%24 Aug
inferno13–100.099%24 Aug
anubis9–13-0.0415%21 Aug
anubis9–130.0016%21 Aug
inferno15–150.0414%21 Aug
dust216–140.0118%20 Aug
nuke13–90.009%20 Aug
ancient4–13-0.1110%20 Aug
anubis13–80.0417%20 Aug
inferno13–70.0424%20 Aug
inferno13–8-0.0311%20 Aug
dust213–80.0413%19 Aug
inferno13–20.037%19 Aug
dust211–130.0314%19 Aug
dust213–90.0010%19 Aug
dust213–40.057%19 Aug
anubis7–13-0.029%19 Aug
inferno9–130.049%19 Aug
inferno12–12-0.044%19 Aug
nuke9–13-0.0313%18 Aug
inferno13–30.086%18 Aug
anubis16–140.018%18 Aug
dust210–13-0.019%18 Aug
dust210–13-0.0217%17 Aug
cache13–40.1519%17 Aug
anubis0–13-0.0416%17 Aug
inferno13–100.013%14 Aug
inferno13–7-0.0113%14 Aug
anubis9–13-0.0513%13 Aug
dust213–60.0110%13 Aug
inferno13–9-0.0312%13 Aug
inferno13–20.045%13 Aug
inferno13–20.003%13 Aug
dust213–7-0.0016%12 Aug
inferno15–15-0.028%12 Aug
anubis7–130.067%12 Aug
anubis7–13-0.0213%11 Aug
inferno8–3-0.0418%11 Aug
cache13–50.0318%11 Aug
mirage13–80.1317%11 Aug
cache7–13-0.0214%11 Aug
inferno12–12-0.0212%10 Aug
inferno0–13-0.080%10 Aug
inferno13–70.0710%10 Aug
inferno13–40.0617%9 Aug
inferno5–13-0.016%9 Aug
mirage10–13-0.049%7 Aug
inferno7–13-0.0913%3 Aug
ancient13–90.0511%3 Aug
ancient5–13-0.047%3 Aug
ancient10–13-0.006%3 Aug
mirage13–110.0410%3 Aug
dust27–130.0721%3 Aug
dust213–10-0.0218%3 Aug
anubis2–13-0.068%31 Jul
ancient13–80.049%31 Jul
inferno9–13-0.018%31 Jul
inferno8–13-0.074%30 Jul
dust213–90.1614%30 Jul
dust28–130.0130%29 Jul
inferno13–40.0920%29 Jul
mirage13–100.0111%28 Jul
inferno10–13-0.088%28 Jul
inferno0–13-0.103%27 Jul
mirage13–100.008%26 Jul
inferno13–4-0.022%26 Jul
cache7–130.0314%15 Jul
inferno13–90.0414%14 Jul
inferno13–30.1715%14 Jul
cache2–13-0.0614%11 Jul
anubis13–70.0215%11 Jul
inferno6–13-0.0210%10 Jul
mirage13–11-0.0410%10 Jul
cache13–60.0112%9 Jul
anubis13–5-0.022%9 Jul
cache9–130.078%9 Jul
mirage13–10.039%8 Jul
overpass8–130.018%3 Jul
cache0–13-0.0623%14 Jun
inferno6–130.0517%14 Jun
inferno4–13-0.0411%24 May
anubis13–9-0.0613%24 May
dust27–130.0310%14 May
anubis11–13-0.0215%14 May
cache12–120.0010%8 May
cache10–130.028%6 May
cache6–13-0.0010%2 May
cache13–20.1222%2 May
cache13–20.0120%2 May
cache13–60.0720%2 May
cache13–80.0728%30 Apr
inferno5–13-0.146%25 Apr
inferno13–60.0521%19 Apr
nuke13–16-0.0113%19 Apr
inferno15–150.0517%19 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 →