ToetPang#.

ToetPang#. — CS2 Stats

76561198298781092[U:1:338515364]Steam profile ↗✓ No bans

132Tracked matches33%Win rate2020Tracked since
CSDB Rating2.9 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 132 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 4,758 +398 24 Jun – 2 Jul · 2 days played
4,3604,758peak 4,75824 Jun2 Jul
4,758Peak Premier in tracked matches
39Days played since 2025-11-15

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

Performance scores

Aim41
Positioning25
Utility8

0–100 skill scores via Leetify.

Recent form

COLD26–72–2Last 10026%Win rateLLLLLLLWLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −0.6pp headshot accuracy · −5ms reaction

Win rate down 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

  • 0–5 · 0% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 21%
  • Avg reaction 834ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating -0.08
  • Avg headshot accuracy 21%
  • Avg reaction 710ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 21%
  • Avg reaction 713ms

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 (+1.4 against its own average).

Aim4.1
Utility0.8
Positioning2.5
Opening Duels0.0

Limited utility dependence

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

iM

Plays most like iM 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

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

Reaction time. 730ms 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

Aim4.1
Positioning2.5
Utility0.8
Mechanics6.8
Opening Duels0.0
Win Impact0.0

Composite 2.9/10 (Learning), 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-0.07−0.00
first ⅓ avg -0.07 → last ⅓ avg -0.07
Reaction time736ms−5ms
first ⅓ avg 741ms → last ⅓ avg 736ms
Headshot accuracy20.5%+4.4%
first ⅓ avg 16.1% → last ⅓ avg 20.5%

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

0.07Best match rating · 13–1 · mirage, 12 Apr →
43%Best headshot accuracy · 0–13 · nuke, 27 Aug →
445msFastest reaction time · 13–10 · inferno, 20 Nov →
13–1Biggest win · mirage, 12 Apr →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L7Current streak
3–13In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 45% over 11trainWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
nukeD235–1822%-0.06
infernoD165–1131%-0.10
anubisD153–1220%-0.07
ancientB115–645%-0.07
mirageC94–544%-0.05
overpassD92–722%-0.09
cacheD82–625%-0.07
trainD60–60%-0.08
dust2—30–30%-0.09

Across the last 100 tracked matches.

Faceit stats

Combat

6Matches
33%Win rate
0.36Avg K/D
—ADR
48%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

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.

20.8%Headshot accuracy
26.5%Accuracy (enemy spotted)
29.4%Spray accuracy
80.5%Counter-strafing
10.2°Preaim
730msReaction time
23.5%T opening success
14.5%CT opening success
0.17Enemies flashed / flash
0.0%Flash assists
0.00HE damage / grenade
2.02Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 730.1229ms — above the 700ms mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1659 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 23.4502% — 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
mirage8–13-0.0821%27 Aug →
nuke0–13-0.1243%27 Aug →
cache7–13-0.117%27 Aug →
anubis14–16-0.0915%21 Aug →
cache11–13-0.0218%21 Aug →
ancient11–13-0.0512%21 Aug →
inferno11–13-0.0520%21 Aug →
cache13–10-0.1013%20 Aug →
anubis9–13-0.1028%20 Aug →
ancient5–13-0.0836%18 Aug →
cache3–13-0.1019%18 Aug →
cache9–13-0.0822%13 Aug →
mirage3–13-0.0722%13 Aug →
ancient4–13-0.0524%13 Aug →
mirage13–8-0.0914%6 Aug →
cache4–13-0.0714%6 Aug →
inferno13–6-0.1042%6 Aug →
anubis2–13-0.124%6 Aug →
nuke13–2-0.0031%16 Jul →
cache13–8-0.0126%16 Jul →
nuke2–13-0.0539%9 Jul →
anubis16–12-0.0519%9 Jul →
ancient13–4-0.0632%9 Jul →
overpass13–11-0.0315%2 Jul →
nuke2–13-0.119%24 Jun →
overpass0–13-0.1213%24 Jun →
ancient13–9-0.0415%24 Jun →
overpass6–13-0.1125%20 Jun →
nuke13–5-0.0723%20 Jun →
nuke4–13-0.0624%20 Jun →
nuke9–13-0.0315%18 Jun →
anubis11–13-0.0812%18 Jun →
ancient13–8-0.116%11 Jun →
anubis9–13-0.0126%11 Jun →
nuke11–13-0.0724%11 Jun →
nuke6–13-0.0931%4 Jun →
inferno7–13-0.0722%4 Jun →
overpass13–8-0.0531%4 Jun →
inferno13–10-0.0629%7 May →
nuke11–13-0.0722%7 May →
anubis5–13-0.0419%30 Apr →
nuke7–13-0.0532%30 Apr →
cache12–12-0.0923%30 Apr →
overpass4–13-0.1021%23 Apr →
anubis11–13-0.086%23 Apr →
anubis9–13-0.1011%21 Apr →
overpass11–13-0.0819%12 Apr →
ancient13–5-0.0514%12 Apr →
dust24–13-0.094%12 Apr →
mirage13–10.0713%12 Apr →
inferno13–9-0.0723%12 Apr →
nuke10–13-0.0214%12 Apr →
anubis3–13-0.0212%12 Apr →
inferno4–13-0.0217%11 Apr →
inferno2–13-0.0629%11 Apr →
nuke13–16-0.0317%10 Apr →
inferno0–9-0.2823%10 Apr →
inferno0–9-0.3211%10 Apr →
overpass9–13-0.0710%1 Apr →
inferno9–13-0.0515%1 Apr →
anubis11–13-0.0810%31 Mar →
ancient16–14-0.1017%31 Mar →
anubis7–13-0.0823%12 Mar →
ancient5–13-0.0911%12 Mar →
anubis9–13-0.0719%5 Feb →
inferno3–13-0.1114%29 Jan →
nuke4–13-0.1121%29 Jan →
anubis13–4-0.0613%29 Jan →
ancient7–13-0.0713%26 Jan →
anubis13–9-0.0712%22 Jan →
inferno16–14-0.0118%22 Jan →
nuke5–13-0.0910%9 Jan →
train5–13-0.1014%9 Jan →
train10–13-0.0740%8 Jan →
mirage13–90.0317%7 Jan →
nuke14–16-0.0514%2 Jan →
inferno4–13-0.1026%22 Dec →
nuke9–13-0.059%22 Dec →
nuke13–8-0.0712%22 Dec →
overpass14–16-0.1213%18 Dec →
nuke10–13-0.0335%18 Dec →
mirage6–13-0.127%4 Dec →
inferno13–16-0.0815%4 Dec →
train7–13-0.077%4 Dec →
dust24–13-0.1021%4 Dec →
nuke13–9-0.073%3 Dec →
overpass10–13-0.1015%3 Dec →
train10–13-0.0717%27 Nov →
nuke15–15-0.0511%27 Nov →
mirage10–13-0.099%27 Nov →
mirage13–16-0.0321%20 Nov →
nuke9–13-0.0511%20 Nov →
train4–13-0.0719%20 Nov →
inferno13–10-0.1031%20 Nov →
ancient5–13-0.0528%15 Nov →
mirage13–10-0.0514%15 Nov →
train10–13-0.1114%15 Nov →
inferno3–13-0.0813%15 Nov →
dust211–13-0.0612%15 Nov →
nuke13–8-0.0519%15 Nov →

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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