Pudding

Pudding — CS2 Stats

SE76561199136160727[U:1:1175894999]Steam profile ↗✓ No bans

414Tracked matches67%Win rate2021Tracked since
780Hours in CS
CSDB Rating6.3 SolidClutch Specialist
Premier CS Rating19,766Top 50% of 208,731 CSDB-tracked playersPurple band · top ~9.4% of ranked players (population est.)
CSDB Leaderboard#87929 of 255833 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (2 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: 19,766 +2,782 26 Sept – 19 Oct · 12 days played
16,98419,780peak 19,78026 Sept19 Oct
19,780Peak Premier in tracked matches
15Days played since 2026-09-26

Premier CS Rating

  • 14 below peak (19,780)
  • +2,782 over 30 days · improving
  • Next: Pink band at 20,000 — 234 to go
  • Reached: Purple band · 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate53.4%44.3%46.9%above
Shot accuracy20.0%11.9%13.0%above
Kill/death ratio0.811.031.080.27 short
Match win rate41.2%45.2%46.7%5.4% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPuddingPREMIER19,766 · Purple 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

Aim80
Positioning48
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY58–36–6Last 10058%Win rateWWWLLWWLWL

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −1.7pp headshot accuracy · −31ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 508ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 572ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 588ms

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 Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.9 against its own average).

Aim8.0
Utility3.6
Positioning4.8
Opening Duels1.9
Clutch6.0

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

ropz

Plays most like ropz 95% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; lower positioning 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 55% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 576ms 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

Aim8.0
Positioning4.8
Utility3.6
Mechanics6.8
Opening Duels3.6
Win Impact10.0

Composite 6.3/10 (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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time576ms+23ms
first ⅓ avg 553ms → last ⅓ avg 576ms
Headshot accuracy17.3%+5.3%
first ⅓ avg 12.0% → last ⅓ avg 17.3%

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

0.22Best match rating · 8–4 · rush_001, 12 Oct →
34%Best headshot accuracy · 13–7 · ancient, 16 Oct →
391msFastest reaction time · 6–2 · rush_001, 12 Oct →
13–0Biggest win · cache, 20 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W3Current streak
7–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 75% over 8mirageWeakest map · 47% over 34
MapGradePlayedRecordWin rateAvg rating
mirageB3416–1847%-0.00
anubisA1912–763%-0.01
ancientS139–469%-0.02
dust2A95–456%-0.04
cacheS86–275%0.02
infernoA74–357%-0.03
rush_001A53–260%0.07
overpass—32–167%-0.03
nuke—21–150%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (47% over 34). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,115Lifetime kills
0.81K/D
1,477Matches
41.2%Match win rate
53.4%Headshot % · Top 25% of Purple band
20.0%Shot accuracy · Top 5% of Purple band
3,787MVPs
780Hours (in match)
582Bombs planted
289Bombs defused

Most-used weapons

AK-4714,561
AWP1,597
Knife593
MP9340

Lifetime map wins

1,079dust2
869inferno
507cbble
201vertigo
194train
173nuke
13bank
9lake

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

Faceit stats

Combat

32Matches
59%Win rate
1.24Avg K/D
58.5ADR
41%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3100%0.7710.0
Cache3100%0.887.7
Ancient10%0.479.0

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.

16.6%Headshot accuracy
38.3%Accuracy (enemy spotted)
44.6%Spray accuracy
80.5%Counter-strafing
9.6°Preaim
576msReaction time
54.6%T opening success
33.9%CT opening success
0.63Enemies flashed / flash
3.4%Flash assists
1.77HE damage / grenade
7.77Flashes / 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 33.9282% — below the 40% mark we flag

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.

47% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
overpass13–5-0.0124%20 Oct →
cache13–00.0111%20 Oct →
mirage13–50.0210%19 Oct →
anubis13–16-0.0815%19 Oct →
mirage11–130.008%19 Oct →
mirage13–60.0524%19 Oct →
mirage13–20.1521%19 Oct →
cache9–13-0.0114%18 Oct →
mirage13–5-0.0419%18 Oct →
ancient7–13-0.0520%18 Oct →
ancient13–8-0.1027%18 Oct →
mirage2–70.0528%18 Oct →
anubis13–60.027%17 Oct →
mirage13–8-0.0022%17 Oct →
mirage6–130.0024%17 Oct →
anubis12–120.0022%17 Oct →
mirage5–13-0.0713%17 Oct →
anubis13–11-0.0015%17 Oct →
ancient13–7-0.028%17 Oct →
anubis13–5-0.0615%17 Oct →
mirage12–12-0.0233%17 Oct →
anubis13–11-0.107%17 Oct →
mirage13–10-0.0519%17 Oct →
mirage13–90.0614%16 Oct →
overpass4–8-0.0326%16 Oct →
dust213–11-0.0516%16 Oct →
mirage13–11-0.0314%16 Oct →
mirage8–13-0.037%16 Oct →
mirage13–70.0421%16 Oct →
mirage12–120.029%16 Oct →
anubis13–10-0.0411%16 Oct →
anubis13–60.0215%16 Oct →
ancient13–70.0734%16 Oct →
mirage10–13-0.0410%16 Oct →
anubis13–40.1017%16 Oct →
mirage13–10.0520%15 Oct →
anubis8–130.0316%15 Oct →
mirage13–20.0618%15 Oct →
dust23–13-0.0913%15 Oct →
mirage16–12-0.0212%15 Oct →
cache13–40.0326%15 Oct →
cache13–00.2123%15 Oct →
mirage13–2-0.0011%14 Oct →
cache13–9-0.063%14 Oct →
ancient6–13-0.1211%13 Oct →
dust22–13-0.0917%13 Oct →
cache13–4-0.033%13 Oct →
ancient11–13-0.086%13 Oct →
anubis11–130.015%13 Oct →
ancient13–1-0.0315%13 Oct →
mirage10–13-0.0610%13 Oct →
inferno2–13-0.087%13 Oct →
dust213–9-0.0326%12 Oct →
mirage12–12-0.0418%12 Oct →
ancient13–3-0.0324%12 Oct →
overpass13–7-0.069%12 Oct →
ancient13–1-0.018%12 Oct →
rush_0018–40.2224%12 Oct →
rush_0012–6-0.1017%12 Oct →
rush_0012–6-0.0818%12 Oct →
rush_0014–00.2113%12 Oct →
rush_0016–20.1025%12 Oct →
mirage13–11-0.0216%11 Oct →
inferno13–7-0.0417%11 Oct →
anubis13–4-0.0418%11 Oct →
ancient16–140.0218%11 Oct →
mirage9–13-0.0311%11 Oct →
cache0–2-0.060%11 Oct →
anubis13–6-0.0211%11 Oct →
anubis11–13-0.0112%10 Oct →
ancient13–00.1121%10 Oct →
dust215–15-0.017%29 Sept →
anubis13–10-0.039%29 Sept →
dust23–13-0.077%29 Sept →
dust213–80.0319%29 Sept →
inferno13–8-0.0318%29 Sept →
ancient7–13-0.0623%29 Sept →
nuke3–13-0.0020%29 Sept →
mirage11–13-0.029%28 Sept →
dust216–130.019%28 Sept →
anubis4–13-0.0813%27 Sept →
ancient13–100.0010%27 Sept →
inferno6–13-0.056%27 Sept →
nuke13–11-0.0215%27 Sept →
mirage13–8-0.0714%27 Sept →
mirage13–40.016%27 Sept →
mirage8–130.0216%27 Sept →
mirage3–100.0222%27 Sept →
mirage12–120.0010%27 Sept →
inferno16–12-0.0313%26 Sept →
cache13–10.049%26 Sept →
anubis13–16-0.0112%26 Sept →
dust213–7-0.057%26 Sept →
inferno4–13-0.0215%26 Sept →
anubis13–10.049%26 Sept →
mirage5–13-0.0517%26 Sept →
mirage10–130.0416%26 Sept →
inferno13–90.0617%26 Sept →
mirage1–7-0.070%26 Sept →
anubis13–80.017%26 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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