Pupu — CS2 Stats

76561198176910279[U:1:216644551]✓ No bans

2,114Tracked matches43%Win rate2021Tracked since
CSDB Rating2.6 Learning
Premier CS Rating12,600Blue band · top ~41.1% of ranked players (population est.)
CSDB Leaderboard#34115 of 50808 tracked
FaceitLevel 5 · 1,087 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGPupuFACEITLevel 5 · 1,087 ELOSTANDINGTop 67.6% of rankedPREMIER12,600 · Blue bandcsdb.gg/stats

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Performance scores

Aim31
Positioning34
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY46531Last 10046%Win rateLWWWWWLWLL

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

Player DNA

Aim3.1
Aggression1.9
Utility5.0
Positioning3.4
Opening Duels0.0
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

NiKo

Plays most like NiKo 66% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 587ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 54% 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

Aim3.1
Positioning3.4
Utility5.0
Mechanics0.9
Opening Duels0.0
Win Impact2.8

Composite 2.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time588ms−5ms
first ⅓ avg 593ms → last ⅓ avg 588ms
Headshot accuracy8.8%−1.3%
first ⅓ avg 10.0% → last ⅓ avg 8.8%

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

0.12Best rating — ancient 13–3
131Biggest win — nuke
5Longest win streak
87In matches decided by ≤2 rounds
10Overtime games

Map breakdown

overpassBest map · 71% over 7infernoWeakest map · 32% over 19
MapGradePlayedRecordWin rateAvg rating
nukeA25141156%0.00
anubisA22121055%-0.01
ancientC2181338%-0.02
infernoD1961332%-0.00
overpassS75271%-0.02
mirage31233%-0.02
dust23030%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

55Matches
56%Win rate
0.92Avg K/D
72.2ADR
31%Headshot %

Clutches & streaks

47%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke1753%0.9214.4
Anubis1080%1.1616.3
Ancient978%0.9313.4
Inferno580%0.9410.0
Mirage520%0.7810.4
Overpass2100%0.7716.0
Vertigo10%0.8815.0
Dust210%0.8612.0

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.

8.2%Headshot accuracy
32.9%Accuracy (enemy spotted)
35.9%Spray accuracy
54.2%Counter-strafing
10.4°Preaim
587msReaction time
21.5%T opening success
28.8%CT opening success
0.51Enemies flashed / flash
1.5%Flash assists
5.84HE damage / grenade
10.84Flashes / 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 8.2126% — 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 21.5377% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

32% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno10–130.019%26 Apr
anubis16–140.037%26 Apr
mirage13–2-0.026%6 Apr
ancient13–5-0.0311%6 Apr
nuke13–70.038%6 Apr
anubis13–20.025%6 Apr
anubis11–13-0.0613%6 Apr
nuke13–80.026%5 Apr
nuke9–130.057%5 Apr
anubis6–13-0.0717%4 Apr
nuke7–13-0.066%4 Apr
anubis13–30.079%4 Apr
overpass16–130.006%4 Apr
ancient13–160.066%4 Apr
inferno13–11-0.042%3 Apr
inferno10–13-0.0015%3 Apr
dust22–13-0.1014%3 Apr
anubis10–130.019%3 Apr
nuke8–13-0.0618%2 Apr
nuke5–13-0.030%2 Apr
ancient6–13-0.017%2 Apr
nuke13–80.087%1 Apr
overpass13–60.028%1 Apr
ancient5–13-0.012%1 Apr
anubis9–130.018%31 Mar
inferno13–60.0310%31 Mar
dust25–13-0.0612%31 Mar
overpass7–13-0.060%29 Mar
nuke13–6-0.053%29 Mar
ancient8–13-0.0117%27 Mar
anubis4–13-0.045%27 Mar
inferno5–13-0.0621%26 Mar
nuke13–60.0817%26 Mar
nuke6–130.026%23 Mar
anubis11–130.006%23 Mar
ancient0–9-0.0420%22 Mar
nuke13–80.038%22 Mar
inferno7–13-0.059%22 Mar
inferno6–13-0.0313%22 Mar
ancient13–9-0.025%21 Mar
nuke16–140.005%21 Mar
nuke8–13-0.0512%20 Mar
anubis13–11-0.0612%19 Mar
ancient13–30.1212%19 Mar
ancient11–13-0.0318%17 Mar
anubis8–13-0.0513%17 Mar
inferno9–130.007%16 Mar
nuke13–90.0620%16 Mar
nuke16–140.069%15 Mar
anubis6–13-0.0510%15 Mar
inferno6–130.024%15 Mar
inferno10–130.024%14 Mar
anubis13–10-0.023%14 Mar
ancient13–4-0.0715%14 Mar
overpass13–10-0.087%14 Mar
ancient13–3-0.0115%14 Mar
anubis13–80.0212%14 Mar
nuke10–13-0.0511%7 Mar
nuke7–13-0.048%7 Mar
ancient11–130.0110%6 Mar
nuke13–8-0.014%6 Mar
mirage15–15-0.0010%6 Mar
anubis11–13-0.077%6 Mar
inferno11–130.0429%6 Mar
ancient7–130.0213%6 Mar
anubis16–14-0.057%5 Mar
inferno3–13-0.0524%5 Mar
ancient13–8-0.042%5 Mar
overpass13–110.0616%5 Mar
nuke11–13-0.026%4 Mar
inferno13–100.049%4 Mar
nuke6–13-0.0315%4 Mar
nuke7–13-0.039%4 Mar
inferno5–130.0113%1 Mar
ancient4–13-0.107%1 Mar
anubis13–9-0.022%1 Mar
anubis13–7-0.039%27 Feb
inferno13–30.0511%27 Feb
ancient8–13-0.089%27 Feb
ancient8–13-0.0812%27 Feb
nuke13–10.0225%26 Feb
inferno13–60.0414%26 Feb
overpass12–16-0.0612%26 Feb
ancient7–13-0.016%26 Feb
nuke13–11-0.0111%25 Feb
nuke13–80.016%25 Feb
overpass13–8-0.0119%25 Feb
inferno3–13-0.098%25 Feb
anubis13–90.0310%25 Feb
dust212–16-0.102%25 Feb
ancient16–13-0.059%24 Feb
anubis13–70.018%24 Feb
anubis6–130.0411%24 Feb
inferno9–130.0119%24 Feb
mirage3–13-0.0510%23 Feb
anubis13–90.028%23 Feb
ancient9–13-0.0215%22 Feb
inferno13–30.023%22 Feb
ancient13–4-0.048%22 Feb
nuke12–30.0110%21 Feb

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 →