ppnus

ppnus — CS2 Stats

76561199199796296[U:1:1239530568]Steam profile ↗

168Tracked matches47%Win rate2023Tracked since
CSDB Rating6.2 SolidAggressive Rifler
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGppnusFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim71
Positioning59
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY52462Last 10052%Win rateWWLLWLLWLW

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.1
Aggression8.1
Utility5.9
Positioning5.9
Opening Duels3.6
Clutch0.0

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

b1t

Plays most like b1t 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

Areas to improve

Reaction time. 691ms 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

Aim7.1
Positioning5.9
Utility5.9
Mechanics8.3
Opening Duels3.6
Win Impact3.9

Composite 6.2/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time668ms−84ms
first ⅓ avg 752ms → last ⅓ avg 668ms
Headshot accuracy19.5%−2.3%
first ⅓ avg 21.7% → last ⅓ avg 19.5%

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

0.15Best rating — inferno 13–5
131Biggest win — dust2
7Longest win streak
W2Current streak
53In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 60% over 15mirageWeakest map · 40% over 25
MapGradePlayedRecordWin rateAvg rating
dust2A31171455%-0.01
mirageC25101540%0.01
ancientA169756%0.02
infernoA159660%0.00
nukeC73443%-0.00
overpass330100%-0.00
cache21150%-0.02
train1010%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 25). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.58Avg K/D
60.7ADR
30%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.417.0
Cache10%0.7613.0

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.

20.8%Headshot accuracy
36.2%Accuracy (enemy spotted)
36.3%Spray accuracy
87.2%Counter-strafing
9.9°Preaim
691msReaction time
44.2%T opening success
44.5%CT opening success
0.56Enemies flashed / flash
4.8%Flash assists
11.51HE damage / grenade
13.58Flashes / match

Recommended for you

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.

40% win rate across 25 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno16–120.0018%25 Aug
dust213–90.0235%24 Aug
nuke7–130.0823%10 Aug
dust210–13-0.0114%31 Jul
cache13–80.0418%31 Jul
cache11–13-0.0723%27 Jul
mirage5–130.0331%27 Jul
nuke13–90.0220%26 Jul
mirage9–13-0.0127%26 Jul
mirage13–50.0511%24 Jul
inferno9–8-0.040%24 Jul
mirage10–13-0.027%24 Jul
dust28–13-0.0530%24 Jul
dust213–8-0.0114%24 Jul
mirage6–13-0.0527%22 Jul
mirage13–11-0.0134%20 Jul
ancient13–10-0.0414%15 Jul
ancient13–20.0630%23 Jun
inferno13–50.1521%22 Jun
inferno8–13-0.0219%17 Jun
ancient8–130.000%17 Jun
mirage6–130.0620%16 Jun
dust27–13-0.0717%16 Jun
mirage9–130.0326%16 Jun
mirage13–80.0924%15 Jun
mirage9–13-0.0215%15 Jun
inferno13–30.1230%15 Jun
dust213–5-0.0428%13 Jun
mirage12–160.0518%13 Jun
ancient8–13-0.0414%13 Jun
mirage13–40.055%13 Jun
dust213–110.0521%11 Jun
ancient7–13-0.0111%11 Jun
overpass13–9-0.0213%10 Jun
ancient9–130.0117%10 Jun
dust213–7-0.0121%10 Jun
mirage9–13-0.0610%10 Jun
dust213–11-0.1011%9 Jun
inferno16–130.0111%9 Jun
mirage13–90.0017%9 Jun
ancient13–30.0718%9 Jun
dust213–8-0.0728%8 Jun
ancient3–70.0120%8 Jun
dust213–4-0.0417%8 Jun
mirage5–13-0.1111%8 Jun
inferno15–15-0.0320%8 Jun
mirage6–130.0019%8 Jun
dust26–13-0.0826%7 Jun
nuke4–13-0.0613%7 Jun
dust216–13-0.0215%7 Jun
ancient8–130.0614%7 Jun
mirage10–13-0.0415%7 Jun
ancient4–130.0822%6 Jun
dust213–2-0.0130%4 Jun
overpass13–90.0121%3 Jun
mirage13–100.0120%3 Jun
mirage13–60.0528%3 Jun
mirage6–13-0.0420%2 Jun
dust210–130.0331%2 Jun
mirage13–50.0724%2 Jun
dust213–50.0618%1 Jun
mirage11–130.0026%1 Jun
ancient13–80.0423%31 May
ancient13–90.0839%31 May
dust213–80.1231%27 May
mirage10–13-0.0226%27 May
ancient13–90.0623%25 May
mirage13–100.0415%13 May
inferno10–13-0.0824%13 May
mirage13–60.1226%13 May
dust213–110.0826%12 May
dust213–16-0.0021%2 May
nuke3–13-0.0339%28 Apr
dust213–5-0.0310%28 Apr
inferno5–130.0211%28 Apr
dust22–13-0.0029%28 Apr
inferno13–9-0.0615%24 Apr
nuke13–9-0.0018%30 Mar
ancient13–50.0629%30 Mar
overpass13–30.0117%18 Jan
ancient13–9-0.0515%11 Dec
ancient13–70.0213%9 Dec
nuke13–90.0128%26 Nov
inferno3–13-0.0814%9 Nov
dust22–13-0.0910%9 Nov
dust213–80.1425%8 Nov
train8–13-0.0221%8 Nov
dust211–130.0330%7 Nov
dust213–10.0322%7 Nov
dust213–60.0731%5 Nov
dust29–13-0.0316%4 Nov
inferno13–90.0119%4 Nov
inferno9–13-0.0316%3 Nov
dust23–13-0.0329%2 Nov
dust24–13-0.0817%2 Nov
inferno13–10-0.0630%1 Nov
inferno13–40.1229%1 Nov
dust25–13-0.0731%31 Oct
dust212–120.0026%31 Oct
nuke3–13-0.0419%29 Oct

Match data via Leetify.

Recent teammates

Milestones

100 Matches
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