puschart_tom

puschart_tom — CS2 Stats

JP76561198118607401[U:1:158341673]Steam profile ↗✓ No bans

575Tracked matches38%Win rate2021Tracked since
424Hours in CS
CSDB Rating2.8 LearningClutch Specialist
Premier CS Rating11,836Blue band · top ~45.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Sep 2026 (15 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 30 days played since 9 May 2025. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,836 -82 16 May5 Sept · 11 days played
11,32614,591peak 14,59116 May5 Sept
14,738Peak Premier in tracked matches
30Days played since 2025-05-09

Premier CS Rating

  • 2,755 below peak (14,591)
  • -1,402 over 30 days · declining
  • Next: Purple band at 15,000 3,164 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=12,847), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate62.5%42.7%43.8%above
Shot accuracy10.6%11.3%12.0%1.4% short
Kill/death ratio1.780.991.02above
Match win rate50.0%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGpuschart_tomFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,836 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim34
Positioning25
Utility55

0–100 skill scores via Leetify.

Recent form

COLD37594Last 10037%Win rateWLWLLLLLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.9pp headshot accuracy · −114ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 530ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 16%
  • Avg reaction 540ms

Last 20

  • 4151 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 597ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.5 against its own average).

Aim3.4
Utility5.5
Positioning2.5
Opening Duels0.0
Clutch6.0

Effective flashes

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

Twistzz

Plays most like Twistzz 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 605ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.4
Positioning2.5
Utility5.5
Mechanics3.2
Opening Duels0.0
Win Impact1.0

Composite 2.8/10 (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-0.05+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.05
Reaction time606ms−73ms
first ⅓ avg 679ms → last ⅓ avg 606ms
Headshot accuracy14.4%+0.6%
first ⅓ avg 13.8% → last ⅓ avg 14.4%

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

0.05Best match rating · 13–5 · inferno, 19 Dec
32%Best headshot accuracy · 8–13 · anubis, 12 May
383msFastest reaction time · 4–13 · anubis, 19 Aug
13–1Biggest win · inferno, 29 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
65In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 54% over 26trainWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B26141254%-0.04
cacheB147750%-0.04
ancientD1221017%-0.04
infernoC114736%-0.03
nukeD103730%-0.04
anubisD72529%-0.05
trainD6060%-0.06
overpass3030%-0.02
vertigo31233%-0.03
agency31233%-0.05
grail21150%-0.04
jura220100%-0.03
mirage1010%-0.10

Across the last 100 tracked matches.

Lifetime stats

35,939Lifetime kills
1.78K/D · Top 5% of Level 4 players
1,276Matches
50.0%Match win rate · Top 25% of Level 4 players
62.5%Headshot % · Top 5% of Level 4 players
10.6%Shot accuracy
3,085MVPs
424Hours (in match)
2,100Bombs planted
510Bombs defused

Most-used weapons

Lifetime map wins

2,821dust2
1,900inferno
1,005nuke
397vertigo
279office
266train
58italy
41cbble

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

Faceit stats

Combat

23Matches
48%Win rate
0.83Avg K/D
64.0ADR
46%Headshot %

Clutches & streaks

50%1v1 clutch win
15%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno757%1.029.9
Dust2617%0.608.3
Nuke560%0.8515.4
Anubis333%0.679.3
Ancient2100%0.9916.5

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.

15.1%Headshot accuracy
28.4%Accuracy (enemy spotted)
33.1%Spray accuracy
64.5%Counter-strafing
11.3°Preaim
605msReaction time
17.5%T opening success
12.2%CT opening success
0.72Enemies flashed / flash
10.4%Flash assists
7.29HE damage / grenade
11.56Flashes / 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 17.5367% — below the 40% mark we flag

Spend your practice time on Train

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

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache13–7-0.0021%5 Sept
ancient7–13-0.0317%21 Aug
dust213–10-0.0517%21 Aug
anubis4–13-0.117%19 Aug
dust27–13-0.0721%19 Aug
nuke10–13-0.078%19 Aug
inferno8–13-0.0316%16 Aug
ancient10–13-0.0916%16 Aug
dust21–13-0.1017%16 Aug
cache7–13-0.0522%16 Aug
dust210–13-0.116%16 Aug
dust210–13-0.0316%12 Aug
dust213–100.0212%11 Aug
dust215–15-0.048%11 Aug
ancient3–13-0.090%9 Aug
dust29–13-0.086%9 Aug
nuke6–13-0.0820%9 Aug
ancient7–13-0.0631%2 Aug
cache5–130.0025%2 Aug
nuke13–7-0.0119%2 Aug
cache8–13-0.0525%2 Aug
cache4–13-0.077%2 Aug
cache13–11-0.045%1 Aug
dust213–7-0.0315%1 Aug
dust213–10-0.0321%1 Aug
dust213–90.0020%1 Aug
cache13–9-0.0819%1 Aug
cache8–13-0.058%1 Aug
nuke4–0-0.020%1 Aug
cache13–11-0.0618%1 Aug
ancient13–9-0.023%1 Aug
dust29–13-0.0321%31 Jul
dust213–10-0.018%31 Jul
dust213–11-0.027%31 Jul
dust210–13-0.0627%31 Jul
nuke10–13-0.0411%31 Jul
cache16–14-0.0523%31 Jul
nuke13–11-0.0418%29 Jul
cache7–13-0.0320%29 Jul
dust213–6-0.0714%29 Jul
cache13–50.0118%29 Jul
ancient13–6-0.0516%29 Jul
inferno13–10.0113%29 Jul
ancient14–160.0124%23 Jul
dust210–13-0.0411%18 Jul
cache13–8-0.0129%18 Jul
dust213–70.0221%18 Jul
train9–13-0.0713%1 Jun
inferno10–13-0.0111%1 Jun
ancient1–13-0.0615%1 Jun
cache11–13-0.088%1 Jun
overpass8–13-0.0620%25 May
inferno4–130.0123%25 May
dust26–13-0.0317%23 May
inferno6–13-0.0221%23 May
ancient6–13-0.0231%23 May
anubis8–13-0.0732%12 May
dust213–16-0.1016%12 May
nuke12–12-0.0319%21 Dec
nuke9–13-0.0222%21 Dec
overpass9–130.0325%21 Dec
dust213–5-0.0414%21 Dec
inferno7–13-0.108%21 Dec
inferno13–50.0525%19 Dec
vertigo13–9-0.0118%19 Dec
anubis7–13-0.0226%13 Aug
agency13–60.0213%13 Aug
train4–13-0.120%13 Aug
dust213–9-0.0415%13 Aug
vertigo5–13-0.0314%10 Aug
overpass11–13-0.0320%10 Aug
train12–12-0.0019%4 Jul
nuke6–13-0.046%4 Jul
dust213–11-0.0822%4 Jul
inferno1–13-0.1223%2 Jul
train7–13-0.107%25 Jun
nuke10–13-0.079%25 Jun
anubis7–13-0.0716%25 Jun
anubis13–10-0.0413%25 Jun
ancient12–12-0.0521%10 Jun
dust213–6-0.0810%23 May
train9–13-0.0423%23 May
vertigo9–13-0.057%23 May
dust27–13-0.0513%23 May
mirage1–13-0.108%23 May
ancient4–13-0.0414%19 May
inferno6–0-0.030%19 May
agency4–13-0.0715%19 May
dust213–80.0128%18 May
grail11–13-0.0110%18 May
jura13–3-0.019%18 May
jura13–8-0.0611%16 May
agency5–13-0.104%16 May
grail13–8-0.0717%16 May
anubis13–30.0015%16 May
inferno9–13-0.0620%16 May
train1–13-0.0113%16 May
anubis2–13-0.0717%16 May
ancient11–13-0.0123%16 May
inferno13–8-0.0214%9 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →