Seattle Tony — CS2 Stats

76561198107345882[U:1:147080154]

605Tracked matches57%Win rate2020Tracked since

2,261Hours in CS

CSDB Rating5.4 Developing

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim51

Positioning50

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY55–39–6Last 10055%Win rateLLWLLWLWWL

Last 10 vs previous 10: -50pp win rate · -0.05 avg rating

Player DNA

Aim5.1

Aggression8.1

Utility6.3

Positioning5.0

Opening Duels4.4

Clutch1.0

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

Plays most like iM 86% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 58% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 599ms 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

Aim5.1

Positioning5.0

Utility6.3

Mechanics5.4

Opening Duels4.4

Win Impact7.2

Composite 5.4/10 (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-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time597ms−6ms

first ⅓ avg 603ms → last ⅓ avg 597ms

Headshot accuracy17.2%+3.2%

first ⅓ avg 14.0% → last ⅓ avg 17.2%

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

0.13Best rating — inferno 13–5

13–1Biggest win — inferno

9Longest win streak

L2Current streak

3–5In matches decided by ≤2 rounds

2Overtime games

Map breakdown

nukeBest map · 71% over 7dust2Weakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	76	46–30	61%	-0.01
nuke	S	7	5–2	71%	-0.00
dust2	D	6	1–5	17%	0.00
anubis	—	3	1–2	33%	-0.07
ancient	—	2	1–1	50%	0.01
mirage	—	2	1–1	50%	-0.02
cache	—	2	0–2	0%	-0.03
shelter	—	1	0–1	0%	-0.02
italy	—	1	0–1	0%	-0.08

Across the last 100 tracked matches.

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

Lifetime stats

219,911Lifetime kills

1.73K/D · Top 5% of tracked players

5,653Matches

41.3%Match win rate

60.6%Headshot % · Top 10% of tracked players

23.7%Shot accuracy · Top 1% of tracked players

8,501MVPs

2,261Hours (in match)

1,761Bombs planted

938Bombs defused

Most-used weapons

AK-4796,828

M4A4 / M4A1-S45,953

AWP12,270

P2000 / USP-S11,032

P2506,322

Desert Eagle6,093

Glock-184,999

FAMAS3,714

Galil AR3,230

Five-SeveN2,497

Lifetime map wins

6,637inferno

5,853nuke

3,540dust2

1,315train

682cbble

582vertigo

400office

209safehouse

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

Faceit stats

Combat

115Matches

47%Win rate

0.84Avg K/D

75.9ADR

47%Headshot %

Clutches & streaks

25%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	2	50%	0.89	14.5
Mirage	2	50%	0.87	16.0
Inferno	2	50%	0.74	11.5
Cache	1	100%	0.88	15.0

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.

17.2%Headshot accuracy

30.1%Accuracy (enemy spotted)

34.0%Spray accuracy

74.2%Counter-strafing

10.7°Preaim

599msReaction time

37.6%T opening success

58.0%CT opening success

0.62Enemies flashed / flash

8.3%Flash assists

14.81HE damage / grenade

4.66Flashes / 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.

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 37.6159% — 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.

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

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	-0.05	21%	29 Aug →
inferno	6–13	-0.02	32%	26 Aug →
inferno	13–4	-0.02	26%	26 Aug →
inferno	1–13	-0.07	38%	25 Aug →
inferno	10–13	-0.11	13%	23 Aug →
inferno	13–7	-0.07	23%	23 Aug →
inferno	10–13	-0.04	32%	22 Aug →
inferno	13–9	0.00	9%	22 Aug →
inferno	13–8	0.02	16%	19 Aug →
inferno	7–13	-0.03	7%	19 Aug →
inferno	13–6	0.05	19%	18 Aug →
inferno	13–6	0.06	25%	16 Aug →
inferno	10–4	0.04	20%	16 Aug →
inferno	13–3	-0.01	13%	16 Aug →
inferno	7–2	0.07	19%	16 Aug →
inferno	13–5	-0.03	16%	16 Aug →
inferno	13–2	-0.00	20%	16 Aug →
inferno	13–5	-0.00	9%	16 Aug →
inferno	13–4	-0.01	6%	16 Aug →
shelter	7–13	-0.02	44%	12 Aug →
anubis	9–13	-0.07	8%	12 Aug →
nuke	4–13	-0.09	8%	11 Aug →
inferno	10–13	-0.02	18%	11 Aug →
anubis	13–9	-0.05	11%	9 Aug →
nuke	13–4	-0.03	9%	9 Aug →
italy	6–13	-0.08	25%	9 Aug →
inferno	7–13	-0.05	12%	9 Aug →
inferno	13–9	-0.02	5%	9 Aug →
inferno	13–4	-0.02	10%	9 Aug →
inferno	11–13	-0.02	11%	8 Aug →
inferno	13–10	-0.01	11%	8 Aug →
inferno	13–5	0.01	16%	7 Aug →
inferno	13–11	-0.03	17%	7 Aug →
inferno	6–13	-0.06	26%	6 Aug →
inferno	11–13	-0.04	8%	6 Aug →
inferno	13–7	-0.01	21%	6 Aug →
inferno	10–13	0.02	9%	5 Aug →
inferno	6–1	-0.02	21%	5 Aug →
inferno	9–13	-0.03	12%	3 Aug →
inferno	13–9	-0.03	10%	3 Aug →
dust2	8–13	0.02	13%	3 Aug →
inferno	13–5	-0.05	10%	3 Aug →
inferno	13–5	-0.04	14%	3 Aug →
inferno	8–13	-0.10	12%	3 Aug →
inferno	13–8	-0.02	12%	3 Aug →
inferno	10–13	0.00	18%	2 Aug →
inferno	13–2	0.09	22%	2 Aug →
ancient	13–7	0.04	12%	2 Aug →
inferno	13–7	0.01	17%	2 Aug →
inferno	13–5	-0.02	11%	2 Aug →
inferno	7–0	0.01	14%	2 Aug →
inferno	13–2	0.02	9%	2 Aug →
dust2	9–13	0.01	15%	2 Aug →
mirage	13–11	-0.06	9%	2 Aug →
anubis	8–13	-0.11	0%	1 Aug →
inferno	10–13	-0.02	12%	1 Aug →
inferno	13–2	-0.03	19%	1 Aug →
inferno	13–5	0.01	16%	1 Aug →
inferno	5–13	-0.05	19%	30 Jul →
inferno	11–13	-0.06	15%	30 Jul →
inferno	13–5	0.13	15%	30 Jul →
cache	15–15	0.03	9%	28 Jul →
mirage	7–13	0.01	12%	28 Jul →
inferno	12–12	-0.02	15%	26 Jul →
inferno	13–1	-0.04	23%	26 Jul →
inferno	13–5	-0.03	9%	26 Jul →
inferno	13–2	0.05	9%	26 Jul →
inferno	9–13	-0.01	15%	26 Jul →
dust2	15–15	0.03	14%	26 Jul →
dust2	6–10	-0.01	21%	26 Jul →
nuke	13–4	0.12	12%	25 Jul →
dust2	6–13	-0.01	8%	25 Jul →
dust2	13–8	-0.02	11%	25 Jul →
inferno	13–5	0.01	14%	25 Jul →
inferno	2–13	-0.10	14%	25 Jul →
ancient	4–13	-0.03	18%	24 Jul →
inferno	12–12	-0.00	11%	23 Jul →
inferno	5–13	0.03	11%	23 Jul →
inferno	13–3	-0.03	16%	21 Jul →
inferno	10–13	-0.04	14%	19 Jul →
inferno	13–1	0.07	16%	19 Jul →
inferno	13–9	-0.01	18%	19 Jul →
inferno	13–5	0.01	6%	19 Jul →
inferno	11–13	-0.04	13%	19 Jul →
cache	6–13	-0.08	7%	19 Jul →
inferno	12–12	-0.01	20%	18 Jul →
inferno	8–13	0.03	12%	18 Jul →
nuke	13–2	0.02	21%	18 Jul →
inferno	13–6	-0.05	6%	18 Jul →
nuke	13–3	0.05	13%	18 Jul →
nuke	13–9	-0.07	13%	18 Jul →
inferno	13–11	-0.02	16%	16 Jul →
inferno	13–5	-0.06	24%	16 Jul →
inferno	13–10	-0.05	14%	16 Jul →
inferno	3–4	-0.01	13%	16 Jul →
nuke	10–13	-0.03	17%	16 Jul →
inferno	12–12	-0.07	12%	15 Jul →
inferno	13–7	0.00	8%	15 Jul →
inferno	13–8	-0.06	18%	13 Jul →
inferno	6–13	-0.05	16%	12 Jul →