TwoDogs

TwoDogs — CS2 Stats

AU76561198169956641[U:1:209690913]Steam profile ↗

1,621Tracked matches38%Win rate2022Tracked since
CSDB Rating4.0 DevelopingClutch Specialist
Premier CS Rating8,385Light Blue band · top ~62.6% of ranked players (population est.)
CSDB Leaderboard#25387 of 34108 tracked
Ladder ranks via Leetify

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CSDB.GGTwoDogsPREMIER8,385 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim67
Positioning42
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY424810Last 10042%Win rateLWLLWLTLWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim6.7
Aggression5.2
Utility3.2
Positioning4.2
Opening Duels1.2
Clutch10.0

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.

Your pro match

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, 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. 620ms 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

Aim6.7
Positioning4.2
Utility3.2
Mechanics5.9
Opening Duels1.3
Win Impact1.2

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time625ms−11ms
first ⅓ avg 636ms → last ⅓ avg 625ms
Headshot accuracy20.9%+4.0%
first ⅓ avg 16.9% → last ⅓ avg 20.9%

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.

Highlights

0.12Best rating — anubis 13–3
131Biggest win — dust2
3Longest win streak
57In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 60% over 15officeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB157847%0.01
dust2C156940%-0.03
ancientA159660%0.01
mirageC135838%0.00
infernoC114736%0.00
anubisC104640%-0.01
officeD92722%-0.00
cacheC83538%-0.01
vertigo21150%-0.02
boulder110100%-0.00
train1010%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

7Matches
57%Win rate
0.75Avg K/D
69.5ADR
50%Headshot %

Clutches & streaks

100%1v1 clutch win
100%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke333%0.608.7
Anubis250%1.0716.5
Vertigo1100%0.448.0
Ancient1100%0.8916.0

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.

20.6%Headshot accuracy
35.5%Accuracy (enemy spotted)
39.7%Spray accuracy
76.7%Counter-strafing
11.0°Preaim
620msReaction time
29.5%T opening success
40.1%CT opening success
0.58Enemies flashed / flash
7.1%Flash assists
6.73HE damage / grenade
1.32Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.321 — below the 4 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 29.5426% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
office6–13-0.0836%28 Aug
office13–30.1160%28 Aug
inferno9–13-0.0621%28 Aug
anubis7–13-0.0914%28 Aug
anubis13–30.1216%28 Aug
mirage3–130.0119%28 Aug
vertigo12–12-0.0315%26 Aug
cache1–13-0.0516%26 Aug
anubis13–11-0.0319%22 Aug
nuke13–90.0621%21 Aug
anubis10–130.0216%20 Aug
dust25–13-0.0916%20 Aug
office8–13-0.0230%20 Aug
anubis13–70.0519%16 Aug
ancient13–60.0725%13 Aug
inferno11–130.1118%13 Aug
ancient13–100.0418%13 Aug
cache13–90.0213%13 Aug
nuke12–12-0.0127%7 Aug
inferno8–130.0412%7 Aug
ancient6–13-0.0523%5 Aug
mirage9–13-0.0213%5 Aug
nuke13–6-0.0333%5 Aug
ancient6–13-0.0413%31 Jul
nuke15–15-0.0014%30 Jul
ancient8–130.0328%30 Jul
dust26–13-0.0717%29 Jul
boulder13–11-0.0011%29 Jul
office12–12-0.0126%29 Jul
inferno5–13-0.0420%26 Jul
dust213–9-0.0813%26 Jul
anubis5–13-0.0417%26 Jul
nuke13–30.0529%26 Jul
cache13–6-0.0211%26 Jul
dust23–60.0410%26 Jul
mirage13–5-0.0139%25 Jul
mirage13–30.047%25 Jul
mirage8–13-0.0316%25 Jul
vertigo13–6-0.0217%25 Jul
office12–120.0020%25 Jul
dust213–1-0.0328%25 Jul
cache6–13-0.0327%24 Jul
anubis13–7-0.0130%24 Jul
nuke10–130.0620%24 Jul
mirage13–160.0215%24 Jul
inferno13–110.0221%23 Jul
nuke13–100.0120%23 Jul
cache12–120.0220%23 Jul
nuke6–13-0.0615%19 Jul
dust213–110.0114%19 Jul
mirage7–13-0.0216%19 Jul
cache11–130.057%19 Jul
ancient4–13-0.0317%19 Jul
office8–13-0.0430%19 Jul
ancient13–6-0.0320%19 Jul
ancient9–13-0.0222%19 Jul
mirage5–13-0.0124%17 Jul
nuke13–3-0.0226%17 Jul
ancient13–100.0715%17 Jul
dust210–13-0.0114%16 Jul
mirage13–50.0622%16 Jul
dust21–13-0.1021%16 Jul
cache13–100.0111%16 Jul
ancient13–8-0.0223%16 Jul
dust20–13-0.0225%16 Jul
dust215–15-0.0025%16 Jul
dust213–4-0.0512%16 Jul
inferno6–13-0.0418%15 Jul
nuke8–13-0.0114%15 Jul
inferno13–100.0617%15 Jul
dust213–11-0.0216%15 Jul
mirage8–13-0.029%15 Jul
nuke11–130.0427%14 Jul
mirage13–10.0322%14 Jul
dust213–70.0216%14 Jul
anubis1–13-0.0216%14 Jul
ancient15–150.0124%14 Jul
ancient13–10-0.0217%12 Jul
inferno11–130.0226%12 Jul
nuke13–40.0818%12 Jul
anubis3–13-0.1010%12 Jul
inferno4–130.0119%12 Jul
nuke13–50.0921%11 Jul
ancient13–50.0517%11 Jul
cache9–13-0.0517%11 Jul
office3–13-0.0721%9 Jul
office8–13-0.0217%9 Jul
mirage13–2-0.0116%8 Jul
dust26–13-0.0610%4 Jul
ancient13–50.017%4 Jul
mirage14–16-0.0213%4 Jul
anubis11–13-0.0112%4 Jul
nuke5–13-0.0221%4 Jul
nuke15–15-0.0411%2 Jul
train12–12-0.0311%30 Jun
office13–10.0818%30 Jun
inferno13–8-0.0429%29 Jun
ancient16–130.0419%29 Jun
dust211–13-0.0218%29 Jun
inferno13–10-0.0410%28 Jun

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →