TJay — CS2 Stats

CA76561198446155939[U:1:485890211]Steam profile ↗✓ No bans

2,579Tracked matches61%Win rate2020Tracked since

3,023Hours in CS5Hrs last 2 wks

CSDB Rating5.0 DevelopingHybrid Rifler

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

Performance scores

Aim65

Positioning46

Utility48

0–100 skill scores via Leetify.

Recent form

STEADY47–48–5Last 10047%Win rateTWWLWWLLWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.5

Aggression4.9

Utility4.8

Positioning4.6

Opening Duels1.2

Clutch1.8

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 NiKo 87% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 653ms 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

Aim6.5

Positioning4.6

Utility4.8

Mechanics6.7

Opening Duels1.2

Win Impact8.6

Composite 5.0/10 (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-0.02−0.00

first ⅓ avg -0.02 → last ⅓ avg -0.02

Reaction time646ms−60ms

first ⅓ avg 706ms → last ⅓ avg 646ms

Headshot accuracy22.4%+4.5%

first ⅓ avg 17.8% → last ⅓ avg 22.4%

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

0.06Best rating — ancient 13–2

13–1Biggest win — mirage

6Longest win streak

6–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

mirageBest map · 61% over 18dust2Weakest map · 31% over 26

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	26	8–18	31%	-0.02
mirage	A	18	11–7	61%	-0.01
inferno	B	16	8–8	50%	-0.02
ancient	A	16	9–7	56%	-0.02
anubis	C	12	5–7	42%	-0.02
nuke	B	8	4–4	50%	-0.05
cache	—	3	2–1	67%	-0.04
overpass	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

83,688Lifetime kills

0.86K/D

3,716Matches

41.8%Match win rate

59.6%Headshot % · Top 10% of tracked players

14.2%Shot accuracy · Top 50% of tracked players

8,242MVPs

2,069Hours (in match)

2,276Bombs planted

2,377Bombs defused

Most-used weapons

AK-4742,659

M4A4 / M4A1-S14,678

Desert Eagle8,860

P2000 / USP-S3,953

Glock-182,632

FAMAS1,749

AWP1,747

Galil AR1,670

Knife1,033

MAC-10887

Lifetime map wins

7,701inferno

4,215dust2

2,898nuke

2,558vertigo

1,296train

106cbble

59lake

25bank

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

Faceit stats

Combat

1,090Matches

50%Win rate

0.72Avg K/D

63.8ADR

41%Headshot %

Clutches & streaks

29%1v1 clutch win

15%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	119	54%	0.76	12.2
Ancient	107	52%	0.81	12.8
Mirage	69	42%	0.80	12.2
Vertigo	62	50%	0.79	12.4
Inferno	54	65%	0.76	13.0
Nuke	53	51%	0.73	11.6
Overpass	38	55%	0.70	12.0
Dust2	29	52%	0.69	12.1

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.

21.4%Headshot accuracy

34.3%Accuracy (enemy spotted)

35.6%Spray accuracy

80.0%Counter-strafing

10.5°Preaim

653msReaction time

32.3%T opening success

37.1%CT opening success

0.67Enemies flashed / flash

8.3%Flash assists

4.51HE damage / grenade

6.59Flashes / 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 32.3161% — 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.

31% win rate across 26 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	12–12	-0.07	14%	23 Aug →
cache	13–11	-0.05	18%	23 Aug →
dust2	13–11	-0.02	15%	23 Aug →
inferno	10–13	0.02	22%	23 Aug →
dust2	13–2	-0.01	30%	21 Aug →
inferno	13–5	0.03	26%	21 Aug →
ancient	6–13	-0.04	21%	16 Aug →
inferno	9–13	-0.05	34%	8 Aug →
dust2	13–9	-0.08	14%	8 Aug →
mirage	16–13	-0.01	33%	8 Aug →
mirage	6–13	-0.05	25%	7 Aug →
ancient	13–11	-0.03	20%	6 Aug →
anubis	7–13	-0.05	30%	4 Aug →
ancient	13–8	-0.01	19%	2 Aug →
cache	13–7	-0.01	19%	30 Jul →
ancient	13–2	0.06	15%	30 Jul →
dust2	10–13	-0.00	24%	30 Jul →
mirage	3–13	-0.07	13%	30 Jul →
ancient	13–7	-0.04	24%	22 Jul →
dust2	7–13	-0.03	34%	22 Jul →
dust2	13–5	-0.02	24%	19 Jul →
mirage	16–13	-0.04	16%	18 Jul →
mirage	13–7	-0.04	26%	20 Jun →
nuke	15–15	-0.04	20%	15 Jun →
dust2	13–8	-0.02	21%	13 Jun →
anubis	13–7	-0.05	8%	13 Jun →
inferno	16–12	-0.01	16%	2 May →
dust2	11–13	-0.05	19%	2 May →
cache	3–13	-0.05	23%	29 Apr →
anubis	9–13	-0.03	22%	23 Apr →
mirage	4–13	-0.00	33%	23 Apr →
mirage	9–13	0.01	25%	14 Apr →
ancient	13–6	0.03	34%	14 Apr →
dust2	5–13	-0.04	26%	12 Apr →
mirage	13–6	0.05	20%	4 Apr →
dust2	8–13	-0.05	25%	4 Apr →
mirage	13–4	-0.00	12%	4 Apr →
ancient	3–13	-0.08	46%	3 Apr →
ancient	13–3	0.00	22%	31 Mar →
nuke	13–9	-0.03	11%	31 Mar →
dust2	11–13	0.02	32%	31 Mar →
mirage	13–1	0.00	30%	31 Mar →
inferno	13–10	-0.04	18%	30 Mar →
inferno	13–10	-0.03	14%	29 Mar →
ancient	13–4	0.04	20%	28 Mar →
dust2	11–13	0.02	23%	28 Mar →
dust2	6–13	-0.03	21%	27 Mar →
dust2	7–13	-0.03	33%	25 Mar →
ancient	5–13	-0.02	27%	25 Mar →
nuke	10–13	-0.01	23%	14 Mar →
inferno	5–13	-0.07	29%	13 Mar →
dust2	10–13	-0.06	22%	7 Mar →
mirage	2–13	-0.05	42%	7 Mar →
dust2	10–13	-0.03	29%	5 Mar →
anubis	6–13	0.02	25%	3 Mar →
anubis	6–13	-0.06	20%	27 Feb →
dust2	11–13	0.01	11%	24 Feb →
mirage	13–8	0.05	20%	22 Feb →
inferno	7–13	-0.03	9%	22 Feb →
ancient	5–13	-0.07	16%	22 Feb →
dust2	15–15	-0.04	21%	22 Feb →
ancient	10–13	-0.08	4%	21 Feb →
nuke	13–11	-0.08	20%	21 Feb →
ancient	13–4	0.02	21%	21 Feb →
anubis	13–11	-0.04	26%	21 Feb →
mirage	13–6	-0.03	24%	21 Feb →
dust2	13–6	-0.01	26%	20 Feb →
ancient	13–6	0.02	35%	18 Feb →
anubis	10–13	-0.04	17%	18 Feb →
dust2	4–13	-0.07	4%	18 Feb →
anubis	4–13	-0.03	24%	18 Feb →
nuke	13–3	-0.06	21%	18 Feb →
inferno	8–13	-0.06	19%	17 Feb →
mirage	13–6	0.03	24%	16 Feb →
nuke	7–13	-0.06	6%	16 Feb →
inferno	16–13	-0.05	20%	15 Feb →
nuke	13–10	-0.06	23%	15 Feb →
dust2	8–13	0.05	35%	11 Feb →
inferno	13–6	0.05	13%	11 Feb →
dust2	5–13	-0.04	27%	11 Feb →
mirage	13–7	-0.00	19%	10 Feb →
dust2	13–2	-0.03	19%	10 Feb →
anubis	13–10	-0.07	17%	10 Feb →
anubis	6–13	-0.04	17%	6 Feb →
dust2	7–13	-0.02	27%	5 Feb →
ancient	11–13	-0.05	18%	5 Feb →
inferno	13–2	0.03	16%	5 Feb →
dust2	15–15	0.02	23%	1 Feb →
inferno	7–13	-0.12	7%	31 Jan →
nuke	6–13	-0.06	10%	30 Jan →
mirage	8–13	-0.05	19%	29 Jan →
anubis	13–6	0.03	12%	25 Jan →
ancient	4–13	-0.02	11%	25 Jan →
mirage	13–11	-0.03	14%	25 Jan →
dust2	13–7	-0.03	24%	24 Jan →
inferno	13–6	0.01	13%	21 Jan →
overpass	12–12	0.01	8%	21 Jan →
mirage	10–13	-0.03	11%	21 Jan →
anubis	13–6	0.05	22%	21 Jan →
inferno	9–13	0.03	17%	20 Jan →