papsh

papsh — CS2 Stats

NO76561198865244329[U:1:904978601]Steam profile ↗✓ No bans

1,128Tracked matches39%Win rate2020Tracked since
CSDB Rating4.1 Developing
Premier CS Rating15,715Purple band · top ~25.6% of ranked players (population est.)
CSDB Leaderboard#26998 of 46500 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGpapshFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,715 · Purple bandcsdb.gg/stats

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Performance scores

Aim41
Positioning41
Utility54

0–100 skill scores via Leetify.

Recent form

COLD46504Last 10046%Win rateLLWLLLTLLW

Last 10 vs previous 10: -30pp win rate · -0.01 avg rating

Player DNA

Aim4.1
Aggression4.7
Utility5.4
Positioning4.1
Opening Duels0.2
Clutch4.8

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

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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

Areas to improve

T-side openings. Opening success drops from 43% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 681ms 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

Aim4.1
Positioning4.1
Utility5.4
Mechanics6.2
Opening Duels1.6
Win Impact1.4

Composite 4.1/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time697ms+32ms
first ⅓ avg 665ms → last ⅓ avg 697ms
Headshot accuracy15.6%−0.9%
first ⅓ avg 16.5% → last ⅓ avg 15.6%

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

0.13Best rating — inferno 13–1
131Biggest win — inferno
4Longest win streak
L2Current streak
118In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 63% over 30anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA30191163%-0.02
ancientB178947%-0.03
dust2D1551033%-0.01
nukeC145936%-0.02
overpassA95456%-0.03
anubisD72529%-0.04
cache4040%-0.05
mirage21150%-0.01
vertigo21150%-0.08

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

25Matches
68%Win rate
0.80Avg K/D
64.8ADR
43%Headshot %

Clutches & streaks

44%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno786%0.8912.9
Ancient771%0.8212.4
Dust2475%0.8812.0
Nuke367%0.8614.3
Mirage20%0.508.0
Cache10%0.7112.0
Anubis1100%0.334.0

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.

16.0%Headshot accuracy
29.4%Accuracy (enemy spotted)
25.4%Spray accuracy
78.1%Counter-strafing
9.3°Preaim
681msReaction time
19.0%T opening success
42.7%CT opening success
0.56Enemies flashed / flash
7.4%Flash assists
12.18HE damage / grenade
4.83Flashes / 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. 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 18.9586% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0115%28 Aug
ancient8–13-0.0316%28 Aug
ancient13–11-0.0310%19 Aug
dust210–13-0.0719%19 Aug
inferno10–13-0.0015%14 Aug
nuke4–9-0.0414%14 Aug
cache15–15-0.0712%10 Aug
inferno9–13-0.0223%10 Aug
anubis6–13-0.1113%7 Aug
mirage13–90.0115%7 Aug
nuke15–15-0.0123%5 Aug
nuke13–5-0.0124%5 Aug
inferno13–4-0.0514%5 Aug
inferno13–110.0221%3 Aug
dust26–13-0.0617%3 Aug
nuke4–13-0.0219%31 Jul
cache10–13-0.0715%31 Jul
ancient9–13-0.0713%31 Jul
nuke13–2-0.0113%31 Jul
inferno13–40.0122%31 Jul
cache3–13-0.0816%27 Jul
anubis6–13-0.0514%27 Jul
inferno5–13-0.0411%12 Jul
ancient14–16-0.0319%12 Jul
vertigo13–3-0.016%1 Jul
inferno3–13-0.0615%1 Jul
cache5–130.0016%1 Jul
dust213–50.0516%28 Jun
ancient6–13-0.0712%28 Jun
anubis13–11-0.0014%23 Jun
inferno13–10.1326%23 Jun
inferno13–10-0.078%23 Jun
inferno4–1-0.0713%23 Jun
overpass14–160.0114%18 Jun
ancient13–16-0.0123%18 Jun
nuke5–13-0.0017%18 Jun
overpass16–14-0.0317%13 Jun
nuke5–13-0.0817%13 Jun
anubis15–15-0.0318%13 Jun
inferno8–13-0.1211%12 Jun
inferno13–11-0.0510%12 Jun
ancient13–10-0.0120%8 Jun
dust213–40.0420%8 Jun
nuke6–13-0.097%8 Jun
inferno9–60.0123%8 Jun
dust28–13-0.0532%2 Jun
inferno16–13-0.0015%2 Jun
dust26–13-0.039%29 May
ancient13–5-0.0320%29 May
ancient13–80.019%27 May
inferno4–13-0.0613%27 May
anubis10–13-0.0424%27 May
inferno7–9-0.0919%27 May
inferno13–6-0.0017%20 May
overpass10–13-0.0513%20 May
dust215–15-0.0318%20 May
overpass3–13-0.0114%18 May
dust213–8-0.0319%18 May
dust213–50.0413%18 May
inferno14–16-0.0425%15 May
ancient13–100.0213%15 May
inferno13–110.025%14 May
ancient13–20.0416%14 May
nuke11–13-0.0311%14 May
inferno8–13-0.049%14 May
ancient7–13-0.0425%11 May
nuke13–40.0216%11 May
anubis9–13-0.0610%11 May
inferno13–7-0.0519%11 May
inferno13–7-0.0334%7 May
ancient10–13-0.087%7 May
inferno13–11-0.0222%7 May
overpass13–6-0.0314%7 May
ancient5–13-0.100%5 May
inferno9–13-0.0418%5 May
anubis13–11-0.0217%5 May
nuke13–50.0223%5 May
inferno13–10-0.0420%2 May
dust26–13-0.0419%2 May
overpass13–8-0.0417%2 May
inferno13–4-0.0114%2 May
overpass13–9-0.0413%27 Apr
nuke13–50.0717%27 Apr
dust210–13-0.0124%27 Apr
vertigo7–9-0.1511%27 Apr
overpass13–11-0.0412%24 Apr
ancient13–110.0121%24 Apr
inferno11–13-0.0320%24 Apr
dust24–13-0.0112%24 Apr
inferno13–5-0.029%21 Apr
mirage9–13-0.0415%21 Apr
dust29–130.0126%21 Apr
nuke7–13-0.0913%21 Apr
ancient5–13-0.0919%17 Apr
overpass6–13-0.0115%17 Apr
nuke4–130.0121%17 Apr
dust213–110.0114%17 Apr
inferno13–70.0321%17 Apr
ancient13–9-0.0111%14 Apr
inferno13–50.0317%14 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 →