Pad thai

Pad thai — CS2 Stats

76561198993894055[U:1:1033628327]Steam profile ↗✓ No bans

305Tracked matches52%Win rate2022Tracked since
201Hours in CS
CSDB Rating4.1 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 305 tracked matches. 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. 65 days played since 29 Jan 2025. Come back after the next session and the change shows above.

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Rating over time

65Days played since 2025-01-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim53
Positioning32
Utility18

0–100 skill scores via Leetify.

Recent form

STEADY444511Last 10044%Win rateLWLWWTWLTL

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.6pp headshot accuracy · −99ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 537ms

Last 10

  • 442 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 589ms

Last 20

  • 677 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 18%
  • Avg reaction 639ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim5.3
Utility1.8
Positioning3.2
Opening Duels0.2

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 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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. 669ms 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

Aim5.3
Positioning3.2
Utility1.8
Mechanics6.7
Opening Duels0.0
Win Impact5.7

Composite 4.1/10 (Developing), 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-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time665ms−8ms
first ⅓ avg 673ms → last ⅓ avg 665ms
Headshot accuracy20.6%+4.9%
first ⅓ avg 15.7% → last ⅓ avg 20.6%

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 · 6–13 · dust2, 5 Feb
50%Best headshot accuracy · 13–0 · ancient, 18 Jan
422msFastest reaction time · 3–8 · mirage, 24 Mar
13–0Biggest win · ancient, 18 Jan

Across the last 100 tracked matches.

Highlights

6Longest win streak
46In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 58% over 12dust2Weakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
mirageB26141254%-0.03
ancientB23111248%-0.02
dust2D1741324%-0.02
nukeB136746%-0.03
infernoA127558%-0.03
anubisD82625%-0.05
train1010%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,305Lifetime kills
0.72K/D
554Matches
41.0%Match win rate
48.7%Headshot % · Top 50% of tracked players
8.5%Shot accuracy
636MVPs
201Hours (in match)
516Bombs planted
109Bombs defused

Most-used weapons

Lifetime map wins

354inferno
276nuke
251dust2
80train
9cbble
2lake
2stmarc

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

Skill profile

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

19.8%Headshot accuracy
29.8%Accuracy (enemy spotted)
32.3%Spray accuracy
80.0%Counter-strafing
10.0°Preaim
669msReaction time
28.8%T opening success
24.0%CT opening success
0.36Enemies flashed / flash
6.0%Flash assists
7.03HE damage / grenade
1.82Flashes / 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. 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 0.3551 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 28.7928% — below the 40% mark we flag

Spend your practice time on Dust 2

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

24% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage3–80.0419%24 Mar
mirage13–8-0.0322%20 Mar
nuke3–13-0.0925%19 Mar
ancient13–30.0016%11 Mar
mirage13–9-0.0717%9 Mar
mirage12–12-0.0728%3 Mar
anubis13–6-0.0515%28 Feb
anubis3–13-0.0615%24 Feb
anubis12–12-0.067%12 Feb
ancient2–13-0.108%12 Feb
mirage12–12-0.0427%11 Feb
nuke12–12-0.0220%31 Jan
inferno12–12-0.0914%30 Jan
dust25–13-0.0031%27 Jan
nuke12–12-0.017%26 Jan
dust212–120.0119%25 Jan
anubis5–13-0.0813%24 Jan
anubis13–8-0.0317%21 Jan
inferno1–13-0.0817%21 Jan
mirage13–6-0.0121%20 Jan
inferno13–80.0225%18 Jan
ancient13–0-0.0050%18 Jan
nuke13–6-0.0323%18 Jan
ancient13–11-0.0326%15 Jan
mirage13–11-0.0117%15 Jan
inferno10–13-0.0318%14 Jan
ancient13–70.0523%13 Jan
nuke6–13-0.0512%12 Jan
anubis7–13-0.0331%12 Jan
ancient11–13-0.0714%10 Jan
nuke6–13-0.0221%8 Jan
inferno13–7-0.0235%8 Jan
inferno13–7-0.0724%6 Jan
anubis7–13-0.069%2 Jan
train10–13-0.0511%2 Jan
mirage13–9-0.0520%2 Jan
mirage11–13-0.0810%1 Jan
ancient9–30.0213%30 Dec
inferno12–12-0.0511%30 Dec
ancient6–13-0.0920%29 Dec
mirage13–6-0.029%26 Dec
ancient11–13-0.0410%24 Dec
nuke2–13-0.0620%24 Dec
dust212–12-0.0613%23 Dec
ancient13–20.0012%22 Dec
dust210–13-0.049%22 Dec
mirage13–6-0.0229%20 Dec
ancient13–90.0511%19 Dec
nuke13–3-0.0012%19 Dec
nuke13–10-0.0118%17 Dec
mirage13–9-0.0619%16 Dec
dust21–20.0531%16 Dec
mirage13–80.0116%16 Dec
dust213–110.0126%15 Dec
ancient13–8-0.0414%15 Dec
ancient4–13-0.0221%26 Aug
mirage4–13-0.0314%8 May
nuke13–6-0.008%4 May
mirage2–13-0.099%26 Apr
nuke13–5-0.0217%22 Apr
mirage7–13-0.008%22 Apr
ancient13–50.0511%21 Apr
ancient9–13-0.0213%21 Apr
inferno9–60.019%17 Apr
mirage13–90.0119%16 Apr
mirage10–13-0.0414%13 Apr
nuke13–90.0125%12 Apr
dust23–13-0.0617%12 Apr
ancient11–13-0.0112%5 Apr
dust28–130.0114%2 Apr
mirage9–13-0.0318%29 Mar
mirage13–90.0411%29 Mar
nuke4–13-0.0513%26 Feb
anubis12–12-0.0114%16 Feb
dust211–13-0.0517%16 Feb
dust213–11-0.0324%15 Feb
inferno13–6-0.058%11 Feb
mirage12–12-0.068%11 Feb
mirage13–8-0.0522%10 Feb
dust29–13-0.0419%10 Feb
ancient5–13-0.0615%6 Feb
dust29–13-0.0016%6 Feb
dust26–130.0717%5 Feb
mirage13–6-0.0342%5 Feb
dust26–13-0.0813%3 Feb
ancient13–80.0210%2 Feb
inferno9–13-0.056%2 Feb
ancient6–13-0.0621%1 Feb
mirage8–0-0.040%1 Feb
ancient13–20.0119%1 Feb
inferno13–40.0022%1 Feb
inferno13–50.0312%31 Jan
ancient9–13-0.0214%31 Jan
mirage8–13-0.0715%30 Jan
ancient9–13-0.0611%30 Jan
ancient10–13-0.0411%30 Jan
dust28–130.0117%30 Jan
dust25–1-0.0725%30 Jan
dust213–100.0119%30 Jan
mirage2–13-0.0417%29 Jan

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 →