T-Dog

T-Dog — CS2 Stats

GB76561198260270428[U:1:300004700]Steam profile ↗✓ No bans

766Tracked matches43%Win rate2020Tracked since
2,076Hours in CS9Hrs last 2 wks
CSDB Rating4.7 DevelopingClutch Specialist
Premier CS Rating17,151Purple band · top ~19.8% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

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

No change since then — still 766 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. 29 days played since 18 Jul 2026. 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: 17,151 +1,535 20 Jul17 Sept · 30 days played
15,61618,884peak 18,88420 Jul17 Sept
19,069Peak Premier in tracked matches
29Days played since 2026-07-18

Premier CS Rating

  • 1,733 below peak (18,884)
  • -1,009 over 30 days · declining
  • Next: Pink band at 20,000 2,849 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-02
  • Blue band first seen 2026-09-02

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=35,214), 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 rate34.3%44.3%47.0%12.7% short
Shot accuracy11.9%11.8%13.0%1.1% short
Kill/death ratio1.061.031.080.02 short
Match win rate44.9%45.2%46.7%1.8% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Headshot rate. 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.GGT-DogPREMIER17,151 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning53
Utility25

0–100 skill scores via Leetify.

Recent form

COLD43534Last 10043%Win rateLLLLWTLLWW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +0.8pp headshot accuracy · −11ms reaction

Win rate −10pp 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 519ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 569ms

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 (+4.1 against its own average).

Aim6.2
Utility2.5
Positioning5.3
Opening Duels4.0
Clutch9.4

Limited utility dependenceReliable in 1v1s

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 89% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

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

T-side openings. Opening success drops from 49% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim6.2
Positioning5.3
Utility2.5
Mechanics5.9
Opening Duels2.4
Win Impact2.6

Composite 4.7/10 (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-0.01+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time576ms−39ms
first ⅓ avg 615ms → last ⅓ avg 576ms
Headshot accuracy15.9%+0.1%
first ⅓ avg 15.9% → last ⅓ avg 15.9%

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

0.10Best match rating · 13–2 · ancient, 20 Jul
38%Best headshot accuracy · 9–7 · nuke, 19 Jul
438msFastest reaction time · 11–13 · ancient, 29 Aug
13–2Biggest win · cache, 3 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
76In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 67% over 15infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
ancientC24101442%-0.01
nukeB23111248%-0.02
cacheC2281436%-0.02
anubisS1510567%-0.01
infernoD61517%-0.05
dust2D51420%-0.01
mirageC52340%0.01

Across the last 100 tracked matches.

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

Lifetime stats

64,422Lifetime kills
1.06K/D · Top 50% of Purple band
3,549Matches
44.9%Match win rate
34.3%Headshot %
11.9%Shot accuracy · Top 50% of Purple band
8,515MVPs
1,214Hours (in match)
3,214Bombs planted
649Bombs defused

Most-used weapons

AK-4711,286
SG 5536,217
AWP6,066
AUG5,417
Negev2,936
P902,429
MP91,510

Lifetime map wins

6,271nuke
5,178dust2
2,830inferno
2,381vertigo
1,264train
1,148lake
136office
55ar_shoots

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

Faceit stats

Combat

14Matches
29%Win rate
0.81Avg K/D
78.2ADR
48%Headshot %

Clutches & streaks

67%1v1 clutch win
17%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno30%0.7110.0
Nuke333%0.8014.7
Mirage250%0.569.0
Anubis250%1.1218.5
Ancient250%1.2217.0

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
32.2%Accuracy (enemy spotted)
33.7%Spray accuracy
76.7%Counter-strafing
9.2°Preaim
577msReaction time
29.1%T opening success
49.5%CT opening success
0.45Enemies flashed / flash
0.6%Flash assists
7.29HE 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 0.4478 — 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 29.1143% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis8–130.0213%13 Sept
cache6–13-0.0411%30 Aug
ancient9–13-0.0715%29 Aug
ancient11–13-0.0526%29 Aug
nuke13–100.0215%25 Aug
inferno15–15-0.0122%25 Aug
nuke7–13-0.0119%24 Aug
cache4–130.0127%24 Aug
cache13–10-0.0416%23 Aug
anubis13–3-0.0413%23 Aug
ancient8–13-0.1014%23 Aug
ancient13–11-0.0228%22 Aug
nuke8–13-0.0227%22 Aug
cache11–13-0.0315%22 Aug
cache13–6-0.0112%22 Aug
ancient9–130.0219%22 Aug
anubis13–11-0.0114%19 Aug
anubis13–100.0412%19 Aug
nuke7–130.0015%18 Aug
ancient7–13-0.0213%17 Aug
cache9–130.0014%17 Aug
cache5–13-0.0118%16 Aug
anubis13–9-0.028%16 Aug
ancient13–40.0210%16 Aug
nuke15–15-0.0415%16 Aug
anubis13–11-0.0211%15 Aug
cache9–13-0.0519%15 Aug
ancient13–60.0322%15 Aug
ancient10–130.0213%15 Aug
cache13–50.0520%15 Aug
nuke13–5-0.040%15 Aug
inferno13–3-0.0122%15 Aug
ancient13–3-0.059%13 Aug
dust29–13-0.0510%13 Aug
nuke13–110.0018%13 Aug
ancient10–13-0.0114%11 Aug
cache13–100.0010%10 Aug
nuke13–9-0.0514%10 Aug
nuke13–7-0.0413%10 Aug
ancient9–13-0.0122%9 Aug
cache11–13-0.059%9 Aug
dust29–13-0.017%9 Aug
nuke6–13-0.067%9 Aug
anubis6–130.0426%9 Aug
cache8–13-0.0310%9 Aug
nuke13–90.0123%9 Aug
ancient13–9-0.047%8 Aug
anubis13–10-0.0613%8 Aug
inferno6–13-0.058%8 Aug
nuke13–100.0516%8 Aug
dust24–130.0123%8 Aug
ancient16–140.0018%7 Aug
ancient6–130.0623%7 Aug
anubis12–16-0.0322%7 Aug
anubis13–9-0.0121%7 Aug
cache4–13-0.067%5 Aug
nuke5–13-0.058%5 Aug
nuke13–4-0.0216%4 Aug
ancient9–130.0022%4 Aug
ancient5–13-0.0511%4 Aug
cache13–9-0.059%3 Aug
mirage11–130.0210%3 Aug
cache13–20.024%3 Aug
ancient13–40.0314%3 Aug
inferno9–13-0.019%2 Aug
mirage11–130.0317%2 Aug
cache8–13-0.0515%2 Aug
anubis13–60.0213%2 Aug
nuke13–10-0.0218%2 Aug
ancient13–60.0322%2 Aug
cache13–16-0.018%1 Aug
anubis9–130.0419%1 Aug
inferno2–9-0.1625%1 Aug
nuke6–13-0.0819%1 Aug
anubis8–13-0.088%25 Jul
cache13–100.0011%25 Jul
nuke9–13-0.0221%24 Jul
ancient13–9-0.0213%24 Jul
cache6–13-0.0919%22 Jul
anubis13–60.0616%22 Jul
dust213–100.0124%22 Jul
ancient15–15-0.0110%22 Jul
ancient13–20.1013%20 Jul
anubis13–7-0.0710%20 Jul
nuke13–30.0216%20 Jul
nuke10–13-0.0115%19 Jul
cache9–130.0214%19 Jul
ancient14–16-0.0415%19 Jul
nuke9–7-0.0338%19 Jul
mirage8–130.0118%19 Jul
cache13–8-0.005%19 Jul
nuke6–13-0.063%19 Jul
cache6–13-0.0521%19 Jul
dust25–13-0.0218%19 Jul
inferno3–13-0.0212%19 Jul
mirage13–11-0.0313%19 Jul
mirage13–20.0331%19 Jul
ancient15–15-0.029%18 Jul
nuke13–16-0.0210%18 Jul
nuke8–13-0.0321%18 Jul

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 →