banger — CS2 Stats

76561199131838428[U:1:1171572700]Steam profile ↗✓ No bans

1,514Tracked matches42%Win rate2021Tracked since

CSDB Rating2.6 Learning

FaceitLevel 5Top 67.6% of ranked FACEIT players

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

Aim28

Positioning30

Utility21

0–100 skill scores via Leetify.

Recent form

COLD46–43–11Last 10046%Win rateLTTWTWLLLW

Last 10 vs previous 10: -30pp win rate · +0.00 avg rating

Player DNA

Aim2.8

Aggression2.1

Utility2.1

Positioning3.0

Opening Duels0.0

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 NiKo 59% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 690ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.8

Positioning3.0

Utility2.1

Mechanics4.0

Opening Duels0.0

Win Impact2.2

Composite 2.6/10 (Learning), 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-0.04−0.01

first ⅓ avg -0.03 → last ⅓ avg -0.04

Reaction time695ms−0ms

first ⅓ avg 696ms → last ⅓ avg 695ms

Headshot accuracy20.0%+0.9%

first ⅓ avg 19.2% → last ⅓ avg 20.0%

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 — mirage 6–0

13–0Biggest win — nuke

9Longest win streak

9–3In matches decided by ≤2 rounds

2Overtime games

Map breakdown

anubisBest map · 60% over 5vertigoWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	13–16	45%	-0.03
nuke	B	17	8–9	47%	-0.03
vertigo	C	12	5–7	42%	-0.03
dust2	A	9	5–4	56%	-0.04
inferno	C	9	4–5	44%	-0.06
train	C	7	3–4	43%	-0.03
anubis	A	5	3–2	60%	-0.03
ancient	—	4	1–3	25%	-0.06
overpass	—	3	2–1	67%	-0.06
office	—	2	0–2	0%	-0.09
grail	—	1	0–1	0%	-0.04
whistle	—	1	1–0	100%	0.06
palais	—	1	1–0	100%	0.07

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

364Matches

50%Win rate

0.72Avg K/D

—ADR

41%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	14	57%	1.13	10.7
Ancient	7	71%	0.60	8.6
Inferno	7	100%	1.10	14.6
Nuke	7	57%	0.68	10.4
Vertigo	6	33%	0.52	7.2
Anubis	4	75%	0.99	14.8
Overpass	2	50%	1.00	15.5

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.

18.9%Headshot accuracy

25.8%Accuracy (enemy spotted)

27.5%Spray accuracy

68.2%Counter-strafing

10.8°Preaim

690msReaction time

21.5%T opening success

29.3%CT opening success

0.54Enemies flashed / flash

1.9%Flash assists

5.66HE damage / grenade

4.31Flashes / 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 21.5063% — below the 40% mark we flag

Spend your practice time on Vertigo

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	5–13	0.04	23%	2 Aug →
mirage	12–12	-0.02	23%	2 Aug →
mirage	12–12	-0.09	21%	1 Aug →
anubis	13–4	0.03	24%	1 Aug →
mirage	12–12	-0.05	16%	1 Aug →
anubis	5–4	-0.05	18%	1 Aug →
vertigo	8–13	-0.07	20%	31 Jul →
nuke	9–13	-0.07	15%	31 Jul →
dust2	8–13	-0.06	25%	31 Jul →
ancient	13–5	-0.05	10%	7 Nov →
overpass	13–9	-0.07	18%	16 Jul →
mirage	13–11	-0.03	17%	16 Jul →
mirage	6–0	0.13	40%	16 Jul →
mirage	16–13	-0.05	14%	16 Jul →
office	9–13	-0.08	22%	16 Jul →
overpass	5–13	-0.08	14%	16 Jul →
grail	8–13	-0.04	9%	16 Jul →
vertigo	13–3	-0.05	33%	15 Jul →
overpass	13–11	-0.04	24%	15 Jul →
inferno	6–13	-0.10	8%	15 Jul →
vertigo	12–12	0.01	22%	15 Jul →
dust2	12–12	-0.01	8%	13 Jul →
inferno	7–13	-0.09	24%	13 Jul →
mirage	7–13	-0.04	19%	13 Jul →
train	9–13	-0.07	24%	13 Jul →
mirage	10–13	-0.04	20%	13 Jul →
ancient	3–13	-0.04	21%	12 Jul →
mirage	10–13	-0.05	24%	4 Jul →
mirage	13–5	-0.01	15%	4 Jul →
vertigo	12–12	-0.06	15%	16 Mar →
dust2	13–5	-0.02	31%	16 Mar →
nuke	6–13	-0.02	27%	16 Mar →
mirage	9–13	-0.07	19%	19 Feb →
whistle	9–4	0.06	7%	19 Feb →
palais	9–7	0.07	26%	19 Feb →
nuke	13–16	0.05	6%	17 Feb →
nuke	12–12	-0.09	15%	16 Feb →
mirage	5–13	-0.05	30%	16 Feb →
nuke	5–13	-0.07	23%	14 Feb →
mirage	13–5	-0.01	25%	12 Feb →
train	13–9	-0.02	16%	12 Feb →
nuke	11–13	-0.02	9%	11 Feb →
nuke	13–9	0.03	24%	11 Feb →
inferno	13–5	-0.04	21%	10 Feb →
vertigo	8–13	0.03	19%	10 Feb →
vertigo	11–13	-0.02	32%	6 Feb →
mirage	9–13	-0.04	20%	30 Jan →
train	13–11	-0.01	23%	28 Jan →
mirage	13–1	0.02	24%	28 Jan →
inferno	8–8	-0.07	10%	28 Jan →
inferno	10–7	-0.05	13%	28 Jan →
dust2	13–7	-0.07	10%	23 Jan →
anubis	9–13	-0.08	10%	23 Jan →
nuke	13–4	-0.03	17%	21 Jan →
mirage	13–7	-0.03	15%	21 Jan →
ancient	6–13	-0.07	10%	21 Jan →
vertigo	13–10	-0.04	29%	16 Jan →
inferno	6–13	-0.07	21%	16 Jan →
office	7–13	-0.09	5%	16 Jan →
mirage	6–13	0.00	19%	14 Jan →
inferno	13–4	0.00	12%	14 Jan →
ancient	2–13	-0.07	19%	13 Jan →
nuke	13–11	-0.05	14%	13 Jan →
mirage	11–13	-0.06	16%	13 Jan →
dust2	13–11	-0.03	23%	13 Jan →
nuke	2–13	-0.06	15%	12 Jan →
mirage	8–13	-0.03	29%	12 Jan →
mirage	13–7	-0.03	11%	12 Jan →
nuke	13–9	-0.07	18%	10 Jan →
train	13–11	-0.06	13%	4 Jan →
dust2	13–11	0.03	22%	4 Jan →
dust2	13–9	-0.09	18%	31 Dec →
vertigo	13–9	-0.08	17%	31 Dec →
inferno	13–9	-0.02	11%	31 Dec →
nuke	13–8	-0.06	44%	30 Dec →
vertigo	13–10	-0.04	21%	26 Dec →
mirage	2–13	-0.09	17%	26 Dec →
train	4–13	-0.00	29%	22 Dec →
mirage	13–3	0.03	21%	22 Dec →
nuke	13–9	0.00	16%	22 Dec →
nuke	12–12	-0.05	21%	21 Dec →
vertigo	7–13	-0.05	7%	20 Dec →
vertigo	7–13	0.03	18%	20 Dec →
mirage	6–13	-0.03	20%	18 Dec →
dust2	7–13	-0.02	39%	18 Dec →
train	8–13	-0.03	13%	18 Dec →
anubis	9–2	-0.10	6%	18 Dec →
mirage	13–9	-0.04	22%	18 Dec →
train	12–12	-0.01	18%	18 Dec →
nuke	13–4	-0.01	21%	18 Dec →
inferno	10–13	-0.07	20%	17 Dec →
mirage	8–13	-0.00	41%	17 Dec →
dust2	5–13	-0.07	19%	16 Dec →
mirage	13–9	-0.03	12%	16 Dec →
vertigo	13–10	-0.05	25%	16 Dec →
mirage	13–4	-0.00	11%	16 Dec →
mirage	12–12	-0.06	19%	16 Dec →
nuke	13–0	0.10	4%	16 Dec →
nuke	9–13	-0.05	8%	15 Dec →
mirage	13–8	-0.01	31%	15 Dec →