pumpis

pumpis — CS2 Stats

RU76561198028128662[U:1:67862934]Steam profile ↗✓ No bans

1,584Tracked matches50%Win rate2020Tracked since
2,942Hours in CS
CSDB Rating3.8 LearningPositional Player
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (45 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,584 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,647 +1,810 7 Aug – 14 Dec · 16 days played
10,83713,297peak 13,2977 Aug14 Dec
13,297Peak Premier in tracked matches
1,381Highest Faceit ELO seen on CSDB
69Days played since 2024-08-07

Faceit ELO

  • At peak — 1,381
  • Next: Level 8 at 1,531 — 150 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-21
  • Level 6 first seen 2026-09-21

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGpumpisPEAK ELO1,381csdb.gg/stats

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Performance scores

Aim44
Positioning48
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateWWWLWWLWLL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +3.0pp headshot accuracy · −8ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 569ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 580ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 584ms

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 (+1.1 against its own average).

Aim4.4
Utility3.3
Positioning4.8
Opening Duels2.3
Clutch4.4

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

m0NESY

Plays most like m0NESY 81% playstyle similarity

Most alike: positioning profile, 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

Reaction time. 621ms 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

Aim4.4
Positioning4.8
Utility3.3
Mechanics5.5
Opening Duels1.5
Win Impact5.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time602ms+20ms
first ⅓ avg 581ms → last ⅓ avg 602ms
Headshot accuracy13.0%−1.0%
first ⅓ avg 14.1% → last ⅓ avg 13.0%

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

0.33Best match rating · 9–0 · dogtown, 25 Jun →
33%Best headshot accuracy · 10–1 · vertigo, 16 Aug →
438msFastest reaction time · 13–10 · anubis, 30 Aug →
13–2Biggest win · inferno, 14 Dec →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
6–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 82% over 11mirageWeakest map · 9% over 11
MapGradePlayedRecordWin rateAvg rating
nukeB189–950%0.01
infernoB179–853%-0.01
anubisB136–746%-0.01
trainS119–282%-0.01
mirageD111–109%-0.01
ancientB63–350%0.00
vertigoA53–260%0.01
dust2A53–260%-0.03
overpass—31–233%-0.01
cache—22–0100%0.04
brewery—21–150%-0.03
dogtown—11–0100%0.33
edin—10–10%-0.00
office—10–10%-0.00
basalt—11–0100%-0.00
whistle—10–10%0.05
mills—11–0100%-0.03
thera—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (9% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

148,326Lifetime kills
0.84K/D
5,436Matches
41.9%Match win rate
43.3%Headshot %
19.6%Shot accuracy · Top 5% of tracked players
13,725MVPs
2,942Hours (in match)
5,577Bombs planted
1,206Bombs defused

Most-used weapons

AK-4750,940
AWP28,649
SG 5532,183
MP92,022
AUG2,017

Lifetime map wins

11,393nuke
8,958inferno
8,111train
4,865vertigo
4,514dust2
236cbble
231office
136lake

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

Faceit stats

Combat

2,610Matches
50%Win rate
1.05Avg K/D
79.3ADR
33%Headshot %

Clutches & streaks

42%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Nuke13157%1.0615.5
Inferno12654%1.1116.0
Anubis9643%0.9515.4
Mirage8741%0.9915.0
Dust25852%0.9715.8
Ancient5746%0.9915.5
Train3746%1.0917.9
Vertigo1856%1.1116.2

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.

12.6%Headshot accuracy
33.3%Accuracy (enemy spotted)
38.1%Spray accuracy
74.9%Counter-strafing
12.8°Preaim
621msReaction time
31.7%T opening success
40.6%CT opening success
0.54Enemies flashed / flash
6.6%Flash assists
6.16HE damage / grenade
5.42Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.8026° — above the 12° mark we flag

    Aim Training →
  2. 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 12.5945% — below the 15% mark we flag

    Aim Training →
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.

9% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–100.0214%30 Aug →
inferno13–10-0.0114%26 Aug →
cache13–110.0120%26 Aug →
train6–13-0.049%17 Jun →
cache12–70.0710%17 Jun →
overpass13–100.1114%22 Apr →
overpass9–13-0.037%23 Mar →
ancient13–50.0510%21 Mar →
vertigo3–13-0.0417%21 Mar →
ancient6–13-0.017%20 Mar →
inferno6–13-0.0316%19 Mar →
inferno13–50.097%31 Jan →
ancient13–10-0.034%29 Jan →
mirage8–13-0.0211%29 Jan →
dust28–130.000%29 Jan →
inferno3–13-0.0921%29 Dec →
inferno5–13-0.068%30 Aug →
nuke13–30.1112%30 Aug →
mirage8–130.047%27 Aug →
overpass5–13-0.115%17 Aug →
train13–7-0.0116%26 Jun →
nuke13–100.0713%26 Jun →
brewery8–8-0.0727%26 Jun →
brewery9–50.0221%25 Jun →
dogtown9–00.3311%25 Jun →
mirage3–13-0.0731%23 Jun →
dust219–16-0.0014%23 Jun →
nuke9–130.0114%19 Jun →
nuke8–13-0.0613%17 Jun →
inferno16–130.0010%25 May →
mirage10–13-0.0413%16 May →
nuke13–8-0.0110%15 May →
inferno13–40.0528%15 May →
mirage8–13-0.049%4 May →
nuke1–9-0.1410%3 May →
inferno13–60.0319%1 May →
mirage8–13-0.0110%27 Apr →
mirage9–13-0.0116%27 Apr →
anubis13–5-0.0519%25 Apr →
ancient13–90.0416%22 Apr →
nuke19–17-0.0115%19 Apr →
nuke13–80.0211%15 Apr →
edin1–6-0.007%28 Feb →
office7–13-0.0018%28 Feb →
train13–90.0217%28 Feb →
dust213–11-0.0418%11 Feb →
anubis5–13-0.0312%28 Jan →
anubis13–11-0.0518%26 Jan →
anubis13–11-0.0110%24 Jan →
inferno9–130.0215%21 Jan →
mirage10–120.0017%13 Jan →
mirage13–100.0221%13 Jan →
mirage11–13-0.0111%11 Jan →
nuke4–13-0.0432%14 Dec →
inferno13–20.0820%14 Dec →
inferno7–13-0.0610%11 Dec →
nuke7–13-0.0512%3 Dec →
train4–0-0.070%3 Dec →
nuke13–30.0015%1 Dec →
inferno13–90.036%30 Nov →
basalt13–9-0.0018%29 Nov →
train13–9-0.0420%28 Nov →
train13–80.0018%28 Nov →
whistle7–90.054%25 Nov →
nuke4–130.0027%25 Nov →
nuke12–120.0122%24 Nov →
train13–8-0.0021%24 Nov →
train13–4-0.004%15 Nov →
train13–9-0.066%14 Nov →
train13–40.0821%14 Nov →
train11–13-0.0214%14 Nov →
ancient7–13-0.0416%7 Nov →
nuke8–130.0113%30 Oct →
anubis13–50.0615%29 Oct →
inferno13–110.0211%7 Oct →
anubis10–13-0.0321%6 Oct →
dust213–5-0.0415%6 Oct →
anubis2–13-0.120%30 Sept →
mills13–8-0.038%30 Sept →
thera10–13-0.0215%30 Sept →
nuke5–130.0222%29 Sept →
ancient7–13-0.0011%11 Sept →
vertigo13–40.0714%31 Aug →
nuke13–100.1315%22 Aug →
vertigo9–13-0.0318%20 Aug →
anubis9–130.017%20 Aug →
anubis15–15-0.075%19 Aug →
vertigo13–70.0117%19 Aug →
inferno8–130.0413%16 Aug →
vertigo10–10.0333%16 Aug →
inferno7–13-0.0913%15 Aug →
mirage8–130.0812%15 Aug →
anubis13–160.0213%13 Aug →
inferno1–7-0.1718%11 Aug →
dust23–13-0.0618%10 Aug →
anubis13–50.069%9 Aug →
anubis11–130.0312%9 Aug →
nuke13–60.0813%9 Aug →
nuke13–60.0819%8 Aug →
inferno13–50.0422%7 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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