real Terry Crews — CS2 Stats

AU76561198333680598[U:1:373414870]Steam profile ↗

358Tracked matches39%Win rate2020Tracked since

1,847Hours in CS

CSDB Rating4.6 DevelopingPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim66

Positioning37

Utility60

0–100 skill scores via Leetify.

Recent form

COLD42–51–7Last 10042%Win rateLLTWWLLTWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim6.6

Aggression1.8

Utility6.0

Positioning3.7

Opening Duels0.0

Clutch0.0

Strong CT-side openerEffective flashesLimited utility dependence

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 79% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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

Flashes. 0.94 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 31% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 595ms 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

Aim6.6

Positioning3.7

Utility6.0

Mechanics5.4

Opening Duels0.1

Win Impact1.4

Composite 4.6/10 (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-0.04−0.00

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time617ms−1ms

first ⅓ avg 618ms → last ⅓ avg 617ms

Headshot accuracy25.2%+2.8%

first ⅓ avg 22.4% → last ⅓ avg 25.2%

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

0.07Best rating — dust2 13–1

13–1Biggest win — dust2

4Longest win streak

L2Current streak

5–4In matches decided by ≤2 rounds

10Overtime games

Map breakdown

ancientBest map · 60% over 5dust2Weakest map · 28% over 36

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	36	10–26	28%	-0.03
mirage	B	20	10–10	50%	-0.05
inferno	A	17	10–7	59%	-0.02
nuke	D	10	3–7	30%	-0.03
ancient	A	5	3–2	60%	-0.04
cache	—	3	1–2	33%	-0.02
vertigo	—	2	1–1	50%	-0.00
train	—	2	1–1	50%	-0.05
anubis	—	2	1–1	50%	-0.02
office	—	2	1–1	50%	-0.02
overpass	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 36). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,169Lifetime kills

0.99K/D

5,171Matches

38.9%Match win rate

42.7%Headshot %

19.0%Shot accuracy · Top 10% of tracked players

10,502MVPs

1,847Hours (in match)

5,444Bombs planted

1,605Bombs defused

Most-used weapons

AK-4725,793

M4A4 / M4A1-S15,188

AWP12,453

Desert Eagle7,164

P2000 / USP-S4,930

Glock-183,945

P902,630

MP92,629

UMP-452,494

SSG 082,484

Lifetime map wins

12,248dust2

5,137inferno

2,300train

1,921nuke

1,020cbble

965vertigo

414office

340lake

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

Faceit stats

Combat

55Matches

36%Win rate

0.83Avg K/D

53.6ADR

40%Headshot %

Clutches & streaks

0%1v1 clutch win

100%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWLLL

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.

25.3%Headshot accuracy

28.2%Accuracy (enemy spotted)

36.3%Spray accuracy

74.4%Counter-strafing

9.4°Preaim

595msReaction time

14.8%T opening success

31.0%CT opening success

0.94Enemies flashed / flash

9.0%Flash assists

8.06HE damage / grenade

4.18Flashes / 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 14.7541% — 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.

28% win rate across 36 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
dust2	6–13	-0.08	44%	26 Aug →
vertigo	11–13	-0.00	27%	26 Aug →
train	12–12	-0.05	40%	25 Aug →
train	13–6	-0.05	11%	24 Aug →
inferno	13–11	-0.00	15%	24 Aug →
inferno	11–13	-0.01	29%	23 Aug →
dust2	3–13	-0.03	29%	23 Aug →
nuke	12–12	-0.07	38%	15 Aug →
vertigo	13–11	-0.01	22%	15 Aug →
anubis	7–13	-0.08	0%	15 Aug →
mirage	13–10	-0.04	35%	10 Aug →
dust2	7–13	-0.03	17%	9 Aug →
dust2	8–13	0.02	27%	6 Aug →
inferno	13–2	-0.07	14%	5 Aug →
dust2	0–13	-0.01	44%	5 Aug →
dust2	13–11	-0.03	25%	31 Jul →
mirage	13–6	-0.09	16%	31 Jul →
dust2	3–13	-0.07	17%	23 Jul →
dust2	13–6	0.04	18%	23 Jul →
dust2	9–13	0.02	50%	22 Jul →
mirage	6–13	-0.04	23%	21 Jul →
cache	11–13	-0.05	23%	17 Jul →
dust2	9–13	-0.08	16%	17 Jul →
mirage	6–13	-0.08	24%	17 Jul →
mirage	7–13	-0.11	26%	14 Jul →
dust2	13–5	-0.04	4%	14 Jul →
mirage	6–13	-0.01	13%	14 Jul →
cache	5–13	0.02	67%	13 Jul →
office	13–10	-0.01	25%	13 Jul →
inferno	13–8	-0.00	19%	13 Jul →
mirage	9–13	-0.05	25%	7 Jul →
cache	13–8	-0.02	21%	7 Jul →
inferno	7–13	-0.05	26%	1 Jul →
ancient	13–11	-0.02	10%	1 Jul →
dust2	13–5	-0.04	24%	1 Jul →
ancient	4–13	-0.05	11%	28 Jun →
nuke	8–13	0.03	20%	28 Jun →
ancient	13–5	-0.03	26%	28 Jun →
mirage	13–10	-0.06	15%	28 Jun →
dust2	13–1	0.07	47%	23 Jun →
inferno	13–16	-0.03	18%	9 Jun →
inferno	7–13	-0.05	17%	1 Jun →
dust2	16–13	-0.02	16%	1 Jun →
mirage	13–8	-0.00	28%	31 May →
dust2	9–13	0.01	43%	26 May →
dust2	4–13	-0.05	11%	17 May →
ancient	6–13	-0.07	16%	17 May →
inferno	6–13	-0.07	26%	13 May →
nuke	13–10	0.03	19%	10 May →
nuke	7–13	-0.05	19%	4 May →
inferno	13–2	-0.06	23%	4 May →
nuke	13–16	-0.03	23%	25 Apr →
inferno	4–13	-0.02	13%	24 Apr →
dust2	7–13	-0.04	26%	24 Apr →
dust2	7–13	-0.06	32%	22 Apr →
inferno	13–5	0.01	17%	19 Apr →
mirage	16–13	-0.05	14%	19 Apr →
nuke	9–13	-0.03	44%	16 Apr →
mirage	7–13	-0.06	19%	10 Apr →
mirage	13–6	-0.04	17%	8 Apr →
dust2	10–13	-0.06	15%	5 Apr →
dust2	13–10	0.01	21%	5 Apr →
office	2–9	-0.03	0%	5 Apr →
overpass	16–13	0.02	27%	27 Mar →
dust2	7–13	-0.04	42%	26 Mar →
inferno	8–13	-0.02	21%	24 Mar →
dust2	8–13	-0.02	33%	22 Mar →
mirage	1–8	-0.09	15%	20 Mar →
dust2	7–13	-0.08	36%	20 Mar →
inferno	13–5	0.02	30%	19 Mar →
dust2	6–13	-0.08	18%	19 Mar →
inferno	13–6	0.02	24%	18 Mar →
dust2	16–13	-0.07	28%	15 Mar →
nuke	7–13	-0.05	11%	10 Mar →
dust2	15–15	-0.10	11%	8 Mar →
nuke	7–1	-0.04	24%	2 Mar →
inferno	13–8	-0.03	24%	26 Feb →
dust2	5–13	-0.06	19%	23 Feb →
dust2	13–5	0.05	20%	23 Feb →
mirage	9–13	0.02	19%	23 Feb →
mirage	15–15	-0.02	25%	20 Feb →
mirage	13–8	-0.04	16%	18 Feb →
dust2	7–13	-0.08	15%	17 Feb →
dust2	12–12	-0.05	22%	8 Feb →
anubis	13–3	0.04	15%	8 Feb →
nuke	11–13	-0.05	30%	3 Feb →
dust2	2–13	-0.03	38%	3 Feb →
mirage	13–9	-0.01	9%	23 Jan →
mirage	13–5	-0.04	32%	22 Jan →
nuke	13–10	-0.06	19%	21 Jan →
mirage	13–11	-0.03	22%	17 Jan →
dust2	10–13	0.00	27%	5 Jan →
dust2	8–13	-0.06	21%	5 Jan →
dust2	3–13	-0.03	21%	5 Jan →
dust2	15–15	0.00	34%	9 Dec →
inferno	13–8	-0.07	10%	24 Nov →
inferno	9–4	0.01	42%	18 Nov →
dust2	13–8	0.02	19%	9 Nov →
mirage	15–15	-0.07	20%	9 Nov →
ancient	13–8	-0.03	25%	1 Nov →