TDAWG

TDAWG — CS2 Stats

JP76561198197925751[U:1:237660023]Steam profile ↗✓ No bans

388Tracked matches79%Win rate2020Tracked since
CSDB Rating7.4 StrongPositional Player
Premier CS Rating25,868Top 10% of 203,724 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#13531 of 251089 tracked
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 388 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 25,868 +6,551 8 Mar – 21 Sept · 28 days played
17,43025,868peak 25,8688 Mar21 Sept
25,868Peak Premier in tracked matches
34Days played since 2026-03-08

Premier CS Rating

  • At peak — 25,868
  • +8,438 over 90 days
  • Next: Gold band at 30,000 — 4,132 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-21
  • Pink band first seen 2026-09-21

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

Share this profile

CSDB.GGTDAWGPREMIER25,868 · Red bandcsdb.gg/stats

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Performance scores

Aim85
Positioning62
Utility44

0–100 skill scores via Leetify.

Recent form

HOT60–38–2Last 10060%Win rateWWWWWWWWWL

Last 10 vs previous 10: +30pp win rate · +0.07 avg rating · +9.0pp headshot accuracy · −150ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.09
  • Avg headshot accuracy 27%
  • Avg reaction 425ms

Last 10

  • 9–1 · 90% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 27%
  • Avg reaction 419ms

Last 20

  • 15–4–1 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 493ms

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 (+1.2 against its own average).

Aim8.5
Utility4.4
Positioning6.2
Opening Duels4.3

Sharp aimer

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

s1mple

Plays most like s1mple 96% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

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

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

Aim8.5
Positioning6.2
Utility4.4
Mechanics8.2
Opening Duels3.6
Win Impact10.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time542ms−33ms
first ⅓ avg 574ms → last ⅓ avg 542ms
Headshot accuracy20.7%−2.8%
first ⅓ avg 23.5% → last ⅓ avg 20.7%

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

0.19Best match rating · 13–2 · mirage, 24 Jul →
50%Best headshot accuracy · 13–16 · dust2, 12 Jun →
359msFastest reaction time · 16–14 · mirage, 23 Jul →
13–1Biggest win · inferno, 22 May →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W9Current streak
11–6In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 69% over 16infernoWeakest map · 53% over 19
MapGradePlayedRecordWin rateAvg rating
dust2A3119–1261%-0.01
nukeA2011–955%-0.01
infernoB1910–953%0.00
mirageS1611–569%-0.01
anubisS64–267%-0.03
overpass—43–175%-0.01
ancient—32–167%-0.04
cache—10–10%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (53% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

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

21.0%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.5%Spray accuracy
87.1%Counter-strafing
7.2°Preaim
546msReaction time
37.9%T opening success
50.6%CT opening success
0.53Enemies flashed / flash
9.5%Flash assists
9.22HE damage / grenade
5.97Flashes / 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 37.8929% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
dust213–110.1733%25 Jul →
dust213–100.0519%24 Jul →
mirage13–50.0636%24 Jul →
mirage13–20.1930%24 Jul →
nuke13–9-0.0418%24 Jul →
inferno13–50.1120%23 Jul →
dust213–70.0020%23 Jul →
mirage16–140.0542%23 Jul →
nuke16–120.0131%23 Jul →
dust27–13-0.0021%23 Jul →
dust23–13-0.0825%23 Jul →
nuke6–13-0.0111%23 Jul →
dust213–5-0.0327%22 Jul →
dust213–10-0.0322%22 Jul →
mirage13–30.0311%22 Jul →
dust213–8-0.069%22 Jul →
dust213–40.043%22 Jul →
dust28–13-0.0118%22 Jul →
mirage15–150.0226%20 Jul →
inferno13–8-0.0226%20 Jul →
nuke16–14-0.0217%20 Jul →
mirage9–13-0.073%20 Jul →
dust213–70.0910%20 Jul →
dust213–10-0.0417%19 Jul →
cache8–13-0.0019%19 Jul →
dust213–80.0522%19 Jul →
nuke13–6-0.0314%19 Jul →
inferno13–8-0.0240%6 Jul →
nuke13–5-0.0217%6 Jul →
dust213–10-0.039%3 Jul →
inferno10–130.0128%3 Jul →
mirage13–6-0.0719%3 Jul →
mirage13–11-0.0021%3 Jul →
nuke13–16-0.0321%12 Jun →
dust213–16-0.0150%12 Jun →
inferno10–13-0.0613%12 Jun →
dust213–10-0.038%24 May →
mirage13–11-0.0914%24 May →
nuke7–13-0.0418%24 May →
anubis10–13-0.098%24 May →
mirage6–13-0.044%22 May →
dust213–11-0.0229%22 May →
inferno13–1-0.0630%22 May →
dust213–50.0220%7 May →
anubis7–13-0.069%3 May →
inferno9–50.090%2 May →
inferno9–60.1620%2 May →
inferno13–5-0.0530%26 Apr →
mirage13–90.029%26 Apr →
nuke10–13-0.0219%26 Apr →
dust213–70.0232%26 Apr →
dust214–16-0.0121%25 Apr →
inferno13–60.010%25 Apr →
overpass10–13-0.0216%25 Apr →
nuke6–13-0.0514%25 Apr →
inferno8–13-0.0312%19 Apr →
nuke13–6-0.0223%19 Apr →
overpass13–9-0.0036%18 Apr →
anubis13–40.0122%18 Apr →
anubis13–4-0.0319%18 Apr →
dust211–13-0.0021%18 Apr →
inferno13–16-0.0111%16 Apr →
anubis13–8-0.0020%16 Apr →
inferno14–16-0.0138%11 Apr →
nuke9–13-0.0318%9 Apr →
dust211–13-0.029%9 Apr →
inferno13–10-0.0026%6 Apr →
nuke13–50.0150%6 Apr →
mirage13–10-0.0123%6 Apr →
nuke14–16-0.0319%6 Apr →
dust213–3-0.0646%5 Apr →
dust25–13-0.0723%5 Apr →
inferno10–13-0.0216%5 Apr →
inferno10–13-0.0120%3 Apr →
dust213–80.0220%3 Apr →
ancient13–10-0.108%3 Apr →
nuke13–60.0721%3 Apr →
dust23–13-0.0844%3 Apr →
mirage15–15-0.0716%3 Apr →
anubis16–130.0233%3 Apr →
nuke13–8-0.0515%2 Apr →
overpass13–11-0.0521%2 Apr →
ancient13–110.0321%2 Apr →
mirage7–13-0.1316%2 Apr →
nuke8–130.0223%2 Apr →
dust211–13-0.0617%2 Apr →
dust210–13-0.0114%31 Mar →
inferno8–13-0.0621%28 Mar →
nuke9–130.0319%28 Mar →
nuke13–8-0.0238%26 Mar →
inferno13–110.0335%26 Mar →
dust210–13-0.0425%25 Mar →
nuke13–11-0.0330%23 Mar →
inferno7–13-0.0521%21 Mar →
ancient6–13-0.0512%21 Mar →
mirage13–9-0.0633%12 Mar →
dust213–3-0.0125%11 Mar →
overpass13–110.0223%11 Mar →
dust213–70.0117%8 Mar →
mirage13–30.0610%8 Mar →

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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