Black Man — CS2 Stats

76561198370218830[U:1:409953102]Steam profile ↗✓ No bans

1,661Tracked matches50%Win rate2022Tracked since

CSDB Rating5.0 Developing

Premier CS Rating20,344Pink band · top ~8.1% of ranked players (population est.)

CSDB Leaderboard#6459 of 15064 tracked

WingmanGold Nova III

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim50

Positioning42

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLLWWLWWWLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating

Player DNA

Aim5.0

Aggression7.4

Utility5.8

Positioning4.2

Opening Duels3.7

Clutch4.6

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 b1t 83% playstyle similarity

Most alike: opening-duel success, utility contribution.

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 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 616ms 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

Aim5.0

Positioning4.2

Utility5.8

Mechanics5.5

Opening Duels3.7

Win Impact5.0

Composite 5.0/10 (Developing), 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 -0.02 → last ⅓ avg -0.01

Reaction time617ms−36ms

first ⅓ avg 654ms → last ⅓ avg 617ms

Headshot accuracy17.0%+4.4%

first ⅓ avg 12.6% → last ⅓ avg 17.0%

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 — vertigo 9–6

13–0Biggest win — inferno

8Longest win streak

L2Current streak

8–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

ancientBest map · 71% over 7dust2Weakest map · 37% over 30

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	30	11–19	37%	-0.02
mirage	B	19	10–9	53%	-0.01
inferno	S	17	11–6	65%	-0.01
cache	A	13	8–5	62%	-0.01
ancient	S	7	5–2	71%	-0.01
anubis	C	5	2–3	40%	-0.05
vertigo	—	4	3–1	75%	0.05
office	—	2	0–2	0%	0.03
nuke	—	2	1–1	50%	-0.04
overpass	—	1	1–0	100%	-0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (37% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

42Matches

52%Win rate

0.88Avg K/D

74.4ADR

44%Headshot %

Clutches & streaks

43%1v1 clutch win

7%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	15	47%	0.98	13.3
Ancient	9	78%	0.89	13.2
Inferno	7	0%	0.69	12.9
Mirage	6	50%	0.67	12.3
Train	3	100%	1.31	16.0
Nuke	1	100%	1.00	15.0
Overpass	1	100%	0.72	13.0

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.

16.7%Headshot accuracy

29.7%Accuracy (enemy spotted)

32.0%Spray accuracy

74.7%Counter-strafing

9.9°Preaim

616msReaction time

31.8%T opening success

57.9%CT opening success

0.58Enemies flashed / flash

6.6%Flash assists

12.12HE damage / grenade

11.45Flashes / 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 31.7694% — 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.

37% win rate across 30 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
mirage	13–16	-0.03	17%	21 Aug →
dust2	6–13	-0.05	19%	21 Aug →
inferno	13–10	-0.01	20%	14 Aug →
ancient	13–11	0.03	19%	5 Aug →
ancient	7–13	-0.00	16%	30 Jul →
dust2	13–9	0.06	17%	30 Jul →
cache	13–5	-0.06	11%	28 Jul →
anubis	13–1	-0.03	17%	27 Jul →
mirage	9–13	-0.05	25%	23 Jul →
mirage	5–13	-0.04	10%	23 Jul →
dust2	9–13	-0.08	14%	23 Jul →
mirage	13–8	-0.05	10%	23 Jul →
cache	11–13	0.02	17%	23 Jul →
cache	1–13	-0.06	31%	23 Jul →
dust2	13–8	0.05	11%	22 Jul →
mirage	13–2	0.04	20%	22 Jul →
mirage	13–2	-0.01	17%	22 Jul →
inferno	9–13	-0.06	13%	17 Jul →
dust2	9–13	-0.05	13%	17 Jul →
dust2	1–8	-0.01	27%	17 Jul →
vertigo	13–8	-0.03	13%	17 Jul →
dust2	3–13	-0.03	31%	17 Jul →
mirage	15–15	-0.07	15%	16 Jul →
mirage	13–9	-0.04	14%	16 Jul →
inferno	9–2	0.04	17%	16 Jul →
cache	8–13	-0.03	17%	13 Jul →
cache	13–10	-0.07	21%	13 Jul →
office	8–13	0.03	23%	13 Jul →
vertigo	12–12	0.09	10%	13 Jul →
dust2	13–2	-0.01	11%	13 Jul →
inferno	13–6	0.02	16%	13 Jul →
mirage	12–1	0.00	18%	13 Jul →
inferno	13–7	-0.03	11%	13 Jul →
ancient	13–11	-0.04	13%	13 Jul →
dust2	13–8	0.01	23%	12 Jul →
dust2	13–7	-0.00	16%	12 Jul →
cache	13–10	-0.01	13%	12 Jul →
dust2	10–13	-0.07	22%	12 Jul →
inferno	11–13	0.05	16%	12 Jul →
dust2	8–13	0.06	13%	12 Jul →
mirage	13–9	-0.01	15%	12 Jul →
dust2	13–10	-0.01	9%	12 Jul →
dust2	9–13	-0.02	18%	10 Jul →
mirage	9–13	-0.00	21%	10 Jul →
mirage	13–5	0.01	20%	10 Jul →
cache	13–8	0.00	11%	9 Jul →
mirage	4–13	-0.09	14%	9 Jul →
dust2	1–13	-0.07	17%	9 Jul →
inferno	13–8	0.08	22%	9 Jul →
cache	13–11	-0.05	24%	9 Jul →
dust2	11–13	-0.03	20%	9 Jul →
mirage	13–7	0.02	15%	9 Jul →
cache	13–11	-0.06	23%	9 Jul →
cache	13–1	0.08	16%	6 Jul →
office	11–13	0.03	8%	6 Jul →
cache	9–13	-0.01	19%	6 Jul →
inferno	13–7	-0.03	21%	6 Jul →
ancient	13–4	0.01	16%	6 Jul →
dust2	5–13	0.03	13%	5 Jul →
vertigo	9–6	0.02	20%	4 Jul →
anubis	11–13	-0.06	21%	3 Jul →
mirage	13–3	0.10	25%	3 Jul →
inferno	13–6	0.03	21%	3 Jul →
dust2	9–13	-0.04	14%	3 Jul →
dust2	13–4	-0.01	23%	3 Jul →
dust2	10–13	-0.02	13%	2 Jul →
inferno	13–0	-0.02	0%	2 Jul →
dust2	13–8	-0.03	7%	2 Jul →
mirage	11–13	-0.08	6%	2 Jul →
overpass	13–11	-0.06	13%	2 Jul →
dust2	10–13	-0.07	17%	2 Jul →
dust2	9–13	0.01	18%	2 Jul →
dust2	13–8	0.01	5%	1 Jul →
nuke	13–10	-0.05	8%	1 Jul →
ancient	10–13	-0.05	19%	1 Jul →
anubis	13–9	-0.02	9%	1 Jul →
mirage	8–4	-0.01	10%	1 Jul →
mirage	10–13	-0.06	13%	1 Jul →
inferno	9–4	-0.03	22%	1 Jul →
inferno	9–7	-0.07	13%	1 Jul →
vertigo	9–6	0.13	17%	1 Jul →
cache	6–13	0.00	17%	1 Jul →
ancient	16–12	-0.01	20%	30 Jun →
nuke	9–13	-0.04	7%	30 Jun →
dust2	11–13	-0.11	19%	30 Jun →
cache	13–8	0.07	27%	30 Jun →
inferno	10–13	0.08	20%	30 Jun →
mirage	11–13	0.11	16%	30 Jun →
anubis	2–13	-0.07	12%	27 Jun →
dust2	13–11	-0.08	17%	27 Jun →
ancient	13–6	-0.01	11%	27 Jun →
dust2	16–13	-0.05	11%	26 Jun →
inferno	9–13	-0.07	10%	26 Jun →
dust2	13–16	0.02	13%	26 Jun →
dust2	10–13	-0.04	8%	26 Jun →
inferno	10–13	-0.07	11%	25 Jun →
inferno	13–11	0.03	16%	25 Jun →
dust2	1–13	-0.06	0%	23 Jun →
anubis	1–13	-0.06	0%	23 Jun →
inferno	8–8	-0.06	6%	19 Jun →