Terry Crews — CS2 Stats

76561197963282544[U:1:3016816]✓ No bans

2,578Tracked matches55%Win rate2020Tracked since

CSDB Rating5.6 SolidSupport

Premier CS Rating20,247Pink band · top ~8.2% of ranked players (population est.)

CSDB Leaderboard#3562 of 8089 tracked

FaceitLevel 7 · 1,453 ELOTop 42.3% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim63

Positioning42

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY56–41–3Last 10056%Win rateLWLWWWLTWW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: Support — Utility contribution leads the profile while opening activity stays low.

Aim6.3

Aggression1.3

Utility7.3

Positioning4.2

Opening Duels0.0

Clutch4.0

Strong CT-side openerEffective flashes

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 77% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

T-side openings. Opening success drops from 34% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim6.3

Positioning4.2

Utility7.3

Mechanics6.5

Opening Duels0.5

Win Impact6.7

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time598ms−54ms

first ⅓ avg 652ms → last ⅓ avg 598ms

Headshot accuracy17.2%−0.3%

first ⅓ avg 17.5% → 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

0.09Best rating — inferno 13–9

13–1Biggest win — nuke

6Longest win streak

9–8In matches decided by ≤2 rounds

16Overtime games

Map breakdown

infernoBest map · 70% over 23anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	35	20–15	57%	-0.01
inferno	S	23	16–7	70%	-0.01
cache	A	13	8–5	62%	-0.02
anubis	D	8	2–6	25%	-0.02
ancient	B	8	4–4	50%	0.02
mirage	C	7	3–4	43%	-0.00
nuke	B	6	3–3	50%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

703Matches

49%Win rate

0.84Avg K/D

73.5ADR

42%Headshot %

Clutches & streaks

40%1v1 clutch win

22%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	101	50%	0.89	13.5
Dust2	87	61%	0.98	15.2
Mirage	61	46%	0.81	12.0
Ancient	55	55%	0.86	13.0
Anubis	34	47%	0.80	12.6
Nuke	21	29%	0.74	12.3
Train	14	36%	0.69	11.3
Vertigo	14	71%	0.95	12.5

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.

17.0%Headshot accuracy

31.5%Accuracy (enemy spotted)

32.4%Spray accuracy

79.1%Counter-strafing

8.5°Preaim

593msReaction time

15.7%T opening success

33.7%CT opening success

0.72Enemies flashed / flash

6.1%Flash assists

9.90HE damage / grenade

14.37Flashes / 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 15.6989% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	5–13	-0.07	43%	28 Aug →
mirage	13–7	0.05	18%	28 Aug →
cache	11–13	-0.03	10%	28 Aug →
dust2	13–7	0.01	26%	28 Aug →
anubis	13–8	0.01	15%	28 Aug →
dust2	13–10	0.01	11%	27 Aug →
inferno	11–13	0.02	11%	27 Aug →
anubis	15–15	-0.04	11%	27 Aug →
cache	13–2	0.05	26%	27 Aug →
mirage	13–9	0.03	10%	27 Aug →
inferno	13–10	-0.02	11%	26 Aug →
mirage	8–13	-0.06	20%	26 Aug →
dust2	13–8	-0.02	10%	26 Aug →
inferno	8–13	-0.01	22%	26 Aug →
ancient	16–12	0.00	17%	26 Aug →
anubis	2–13	-0.08	5%	26 Aug →
dust2	6–13	-0.02	27%	25 Aug →
cache	13–10	-0.03	12%	25 Aug →
inferno	13–9	0.09	20%	25 Aug →
dust2	8–13	-0.02	23%	25 Aug →
dust2	11–13	-0.04	34%	25 Aug →
nuke	6–13	-0.07	17%	25 Aug →
cache	13–9	-0.04	14%	25 Aug →
mirage	14–16	0.00	14%	25 Aug →
inferno	13–10	-0.01	19%	24 Aug →
dust2	9–13	-0.01	16%	24 Aug →
dust2	13–9	-0.00	26%	24 Aug →
anubis	10–13	-0.01	7%	24 Aug →
inferno	16–13	-0.02	15%	23 Aug →
dust2	13–5	-0.01	11%	22 Aug →
inferno	10–13	0.05	28%	22 Aug →
dust2	13–5	-0.06	19%	22 Aug →
dust2	3–4	-0.10	0%	22 Aug →
inferno	13–7	-0.00	11%	22 Aug →
dust2	13–3	0.03	22%	22 Aug →
dust2	13–8	0.04	17%	21 Aug →
inferno	13–8	-0.05	20%	21 Aug →
ancient	10–13	0.01	14%	20 Aug →
dust2	8–13	-0.04	5%	20 Aug →
cache	13–6	-0.06	17%	20 Aug →
ancient	8–13	0.04	7%	20 Aug →
dust2	13–10	-0.02	15%	19 Aug →
dust2	6–13	-0.01	24%	19 Aug →
cache	5–13	0.03	17%	19 Aug →
inferno	13–11	-0.03	18%	19 Aug →
dust2	13–9	0.02	27%	19 Aug →
inferno	13–10	-0.05	13%	18 Aug →
anubis	5–13	-0.01	13%	18 Aug →
dust2	13–9	0.02	24%	18 Aug →
nuke	11–13	-0.06	13%	18 Aug →
cache	13–9	0.02	12%	18 Aug →
mirage	9–13	-0.01	18%	16 Aug →
dust2	10–13	-0.05	16%	16 Aug →
ancient	13–6	-0.03	28%	16 Aug →
cache	13–11	0.01	15%	16 Aug →
dust2	13–6	0.00	38%	16 Aug →
ancient	15–15	-0.00	16%	15 Aug →
inferno	13–7	-0.05	8%	15 Aug →
cache	6–13	-0.01	12%	15 Aug →
mirage	13–6	-0.03	17%	15 Aug →
nuke	13–1	0.04	50%	14 Aug →
inferno	9–13	-0.02	7%	14 Aug →
anubis	13–5	-0.01	15%	14 Aug →
cache	10–13	-0.07	26%	14 Aug →
dust2	13–11	0.02	19%	13 Aug →
anubis	2–13	-0.03	16%	13 Aug →
dust2	11–13	-0.00	5%	12 Aug →
ancient	13–8	0.03	18%	12 Aug →
nuke	16–14	0.02	25%	11 Aug →
dust2	13–16	-0.07	27%	11 Aug →
inferno	13–11	-0.00	14%	11 Aug →
dust2	13–5	0.00	26%	9 Aug →
inferno	13–9	-0.03	19%	8 Aug →
ancient	10–13	0.04	8%	8 Aug →
mirage	10–13	-0.02	14%	8 Aug →
dust2	13–16	-0.01	21%	7 Aug →
inferno	16–14	0.02	21%	7 Aug →
dust2	16–13	-0.06	17%	7 Aug →
inferno	8–13	-0.03	21%	6 Aug →
cache	16–14	-0.01	17%	6 Aug →
inferno	13–9	-0.01	20%	6 Aug →
dust2	13–10	0.01	19%	5 Aug →
inferno	14–16	0.00	21%	5 Aug →
dust2	13–1	-0.01	21%	5 Aug →
nuke	13–9	0.01	12%	4 Aug →
dust2	13–16	-0.01	20%	4 Aug →
ancient	13–4	0.04	13%	4 Aug →
inferno	15–15	-0.03	6%	3 Aug →
dust2	7–13	-0.08	18%	3 Aug →
dust2	11–13	-0.03	29%	2 Aug →
cache	16–14	-0.01	18%	31 Jul →
anubis	9–13	-0.00	13%	31 Jul →
inferno	13–9	0.02	21%	30 Jul →
inferno	13–10	0.01	24%	30 Jul →
cache	3–13	-0.08	10%	30 Jul →
nuke	13–16	-0.04	12%	29 Jul →
dust2	8–13	-0.01	14%	29 Jul →
dust2	13–8	0.08	10%	29 Jul →
inferno	13–8	0.04	16%	28 Jul →
dust2	13–7	0.06	14%	28 Jul →