Pummi

Pummi — CS2 Stats

76561198377678873[U:1:417413145]Steam profile ↗✓ No bans

1,303Tracked matches46%Win rate2020Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating10,893Blue band · top ~50.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,893 -553 29 Aug – 10 Oct · 18 days played
10,89314,999peak 14,99929 Aug10 Oct
15,117Peak Premier in tracked matches
18Days played since 2026-08-29

Premier CS Rating

  • 4,106 below peak (14,999)
  • -1,034 over 30 days · declining
  • Next: Purple band at 15,000 — 4,107 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-20
  • Light Blue band first seen 2026-09-20

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GGPummiPREMIER10,893 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning63
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWWTWWLLWW

Last 10 vs previous 10: +30pp win rate · +0.00 avg rating · −4.1pp headshot accuracy · +74ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 658ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 628ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 19%
  • Avg reaction 591ms

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 (+0.9 against its own average).

Aim5.9
Utility5.9
Positioning6.3
Opening Duels3.9

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

donk

Plays most like donk 76% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 57% on T to 39% on CT — first contacts on the defending side are being lost.

Reaction time. 568ms 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

Aim5.9
Positioning6.3
Utility5.9
Mechanics6.0
Opening Duels4.6
Win Impact3.8

Composite 5.4/10 (Developing), 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 rating0.01+0.04
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time586ms−26ms
first ⅓ avg 612ms → last ⅓ avg 586ms
Headshot accuracy18.3%−2.8%
first ⅓ avg 21.1% → last ⅓ avg 18.3%

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

0.17Best match rating · 13–9 · inferno, 18 Sept →
43%Best headshot accuracy · 13–2 · nuke, 30 Aug →
391msFastest reaction time · 11–13 · inferno, 6 Sept →
13–0Biggest win · dust2, 30 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–7In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 77% over 13anubisWeakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
nukeC176–1135%-0.01
ancientS1712–571%-0.02
mirageB158–753%-0.01
anubisD142–1214%-0.03
dust2S1310–377%-0.00
cacheB115–645%-0.01
infernoC114–736%0.03
italy—21–150%0.10

Across the last 100 tracked matches.

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.7%Headshot accuracy
30.1%Accuracy (enemy spotted)
30.4%Spray accuracy
77.0%Counter-strafing
9.6°Preaim
568msReaction time
57.2%T opening success
39.3%CT opening success
0.66Enemies flashed / flash
6.2%Flash assists
10.80HE damage / grenade
7.20Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.2715% — 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.

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage1–13-0.0114%10 Oct →
cache13–100.0624%4 Oct →
dust216–120.0212%20 Sept →
italy12–120.1518%19 Sept →
italy13–110.0419%19 Sept →
cache13–100.0618%19 Sept →
inferno5–13-0.007%19 Sept →
anubis10–13-0.0411%19 Sept →
nuke13–60.0924%19 Sept →
ancient13–70.0320%19 Sept →
anubis9–13-0.0222%19 Sept →
dust215–150.0223%19 Sept →
dust213–110.0420%19 Sept →
anubis5–130.0212%19 Sept →
ancient2–13-0.0231%19 Sept →
inferno13–110.1622%19 Sept →
ancient5–13-0.0016%19 Sept →
inferno13–90.1715%18 Sept →
anubis14–160.0221%18 Sept →
nuke4–13-0.0124%18 Sept →
anubis7–130.0518%18 Sept →
inferno13–100.0933%18 Sept →
mirage13–6-0.0010%18 Sept →
dust213–30.0130%18 Sept →
inferno13–16-0.0015%18 Sept →
nuke10–130.0313%18 Sept →
anubis5–13-0.0411%17 Sept →
anubis2–13-0.1328%16 Sept →
mirage8–13-0.0713%11 Sept →
nuke13–10-0.0315%11 Sept →
dust213–5-0.0718%11 Sept →
cache2–13-0.0713%10 Sept →
inferno4–13-0.0713%9 Sept →
nuke11–13-0.0218%6 Sept →
anubis11–13-0.048%6 Sept →
dust22–13-0.089%6 Sept →
cache13–70.0516%6 Sept →
ancient13–60.0215%6 Sept →
mirage13–90.0129%6 Sept →
nuke2–130.0016%6 Sept →
inferno11–13-0.0313%6 Sept →
ancient13–9-0.0112%6 Sept →
nuke15–15-0.0519%6 Sept →
inferno13–5-0.0133%5 Sept →
mirage7–130.0210%5 Sept →
anubis8–130.0317%5 Sept →
nuke11–13-0.0420%5 Sept →
mirage13–70.0513%5 Sept →
mirage13–30.0428%5 Sept →
ancient13–30.0623%5 Sept →
dust216–14-0.0018%5 Sept →
mirage4–130.0018%5 Sept →
mirage11–13-0.0518%4 Sept →
ancient13–6-0.0623%4 Sept →
mirage13–80.0021%4 Sept →
dust216–14-0.0516%4 Sept →
inferno8–130.0413%4 Sept →
ancient13–90.0419%4 Sept →
anubis5–13-0.0416%4 Sept →
cache7–130.0234%4 Sept →
cache13–6-0.0412%4 Sept →
nuke13–10.0336%4 Sept →
inferno9–130.0117%4 Sept →
nuke9–13-0.0213%4 Sept →
dust29–13-0.0236%4 Sept →
nuke7–13-0.066%3 Sept →
ancient7–4-0.1111%3 Sept →
ancient9–13-0.0427%3 Sept →
dust216–140.0423%3 Sept →
anubis4–13-0.0820%2 Sept →
cache0–13-0.1125%2 Sept →
ancient13–7-0.0520%2 Sept →
anubis13–7-0.0716%2 Sept →
cache6–13-0.1115%2 Sept →
dust213–90.0423%2 Sept →
nuke13–10-0.0328%2 Sept →
cache8–2-0.0018%2 Sept →
mirage2–9-0.1120%1 Sept →
inferno8–13-0.0212%1 Sept →
ancient13–9-0.077%1 Sept →
nuke7–13-0.0410%1 Sept →
ancient8–13-0.110%1 Sept →
nuke7–130.0028%1 Sept →
cache2–13-0.0212%1 Sept →
anubis13–100.0229%30 Aug →
nuke13–11-0.0218%30 Aug →
dust213–0-0.049%30 Aug →
mirage13–4-0.0725%30 Aug →
nuke13–2-0.1043%30 Aug →
mirage13–00.0723%30 Aug →
mirage8–13-0.0917%30 Aug →
ancient13–7-0.0139%30 Aug →
ancient13–100.0423%30 Aug →
anubis15–15-0.0224%30 Aug →
ancient16–130.0120%29 Aug →
cache13–160.0914%29 Aug →
ancient10–13-0.0125%29 Aug →
nuke11–130.0929%29 Aug →
dust213–110.0738%29 Aug →
mirage16–140.0116%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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