NoseBleedHero — CS2 Stats

AT76561198152323955[U:1:192058227]Steam profile ↗✓ No bans

1,437Tracked matches39%Win rate2021Tracked since

CSDB Rating5.6 SolidAggressive Rifler

FaceitLevel 8 · 1,783 ELOTop 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

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

Aim86

Positioning55

Utility51

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWWLLWLLLW

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.6

Aggression7.0

Utility5.1

Positioning5.5

Opening Duels1.8

Clutch3.0

Sharp aimer

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 ropz 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success.

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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 588ms 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

Aim8.6

Positioning5.5

Utility5.1

Mechanics7.7

Opening Duels1.8

Win Impact1.4

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00

first ⅓ avg 0.00 → last ⅓ avg -0.00

Reaction time592ms−21ms

first ⅓ avg 613ms → last ⅓ avg 592ms

Headshot accuracy25.1%+5.0%

first ⅓ avg 20.2% → last ⅓ avg 25.1%

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

0.12Best rating — inferno 13–7

13–0Biggest win — mirage

5Longest win streak

7–6In matches decided by ≤2 rounds

13Overtime games

Map breakdown

overpassBest map · 70% over 10ancientWeakest map · 33% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	21	10–11	48%	-0.01
cache	B	14	7–7	50%	0.01
anubis	B	12	6–6	50%	0.01
inferno	A	12	7–5	58%	-0.01
ancient	D	12	4–8	33%	0.01
dust2	B	10	5–5	50%	0.00
overpass	S	10	7–3	70%	0.02
nuke	S	6	4–2	67%	-0.00
vertigo	—	1	0–1	0%	0.03
office	—	1	1–0	100%	0.02
warden	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

468Matches

53%Win rate

1.10Avg K/D

78.0ADR

45%Headshot %

Clutches & streaks

35%1v1 clutch win

20%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	79	46%	1.20	15.7
Anubis	61	49%	0.99	14.9
Dust2	53	53%	1.09	15.6
Ancient	52	40%	0.96	14.2
Inferno	46	54%	1.04	17.1
Nuke	25	68%	1.12	15.2
Overpass	15	60%	1.20	14.9
Train	9	33%	0.95	18.9

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.

24.8%Headshot accuracy

37.1%Accuracy (enemy spotted)

42.0%Spray accuracy

84.4%Counter-strafing

9.6°Preaim

588msReaction time

37.0%T opening success

37.7%CT opening success

0.56Enemies flashed / flash

4.3%Flash assists

7.62HE damage / grenade

11.68Flashes / 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 37.0378% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	8–13	-0.02	23%	12 Aug →
nuke	13–9	0.02	19%	12 Aug →
mirage	16–14	0.03	31%	11 Aug →
cache	7–13	-0.02	14%	9 Aug →
dust2	12–16	-0.01	33%	8 Aug →
inferno	13–7	0.12	48%	2 Jul →
anubis	11–13	0.12	21%	2 Jul →
vertigo	7–13	0.03	23%	2 Jul →
dust2	4–13	0.01	41%	1 Jul →
anubis	13–11	-0.04	18%	1 Jul →
overpass	10–13	0.00	14%	26 Jun →
mirage	1–7	-0.06	25%	17 Jun →
nuke	13–11	-0.03	20%	16 Jun →
overpass	7–13	-0.02	18%	15 Jun →
ancient	3–13	0.02	27%	15 Jun →
mirage	13–10	-0.03	26%	14 Jun →
nuke	1–13	-0.05	44%	10 Jun →
overpass	13–11	-0.00	26%	7 Jun →
mirage	13–8	-0.03	20%	7 Jun →
anubis	7–13	0.05	25%	6 Jun →
mirage	3–13	-0.07	35%	31 May →
mirage	3–13	-0.05	30%	31 May →
dust2	13–9	0.04	24%	31 May →
dust2	13–9	0.02	14%	28 May →
mirage	15–15	-0.04	29%	28 May →
overpass	13–8	0.05	25%	27 May →
cache	6–13	0.01	19%	23 May →
ancient	15–15	0.03	18%	18 May →
inferno	11–13	-0.01	33%	17 May →
ancient	5–13	-0.07	10%	17 May →
mirage	12–16	-0.04	20%	16 May →
cache	13–11	0.04	16%	16 May →
dust2	13–9	-0.01	39%	16 May →
mirage	5–13	-0.05	13%	15 May →
overpass	13–9	0.06	28%	15 May →
dust2	9–13	-0.04	16%	14 May →
overpass	13–10	0.05	16%	14 May →
nuke	13–10	0.02	13%	14 May →
inferno	8–13	-0.06	15%	14 May →
ancient	11–13	-0.03	7%	14 May →
cache	11–13	-0.01	23%	13 May →
mirage	10–13	0.02	17%	13 May →
anubis	13–6	-0.04	25%	11 May →
mirage	13–0	-0.06	29%	11 May →
cache	13–8	0.03	16%	10 May →
inferno	14–16	0.02	15%	10 May →
inferno	16–13	0.07	18%	10 May →
cache	3–13	-0.10	14%	8 May →
mirage	10–13	0.02	18%	8 May →
dust2	13–6	0.02	15%	7 May →
anubis	10–13	-0.04	11%	5 May →
mirage	13–5	0.08	20%	5 May →
dust2	8–13	0.05	28%	5 May →
cache	13–11	0.05	21%	5 May →
cache	13–7	0.06	25%	5 May →
cache	12–12	0.05	39%	3 May →
office	13–3	0.02	33%	3 May →
inferno	15–15	-0.12	33%	3 May →
mirage	13–5	0.12	17%	1 May →
nuke	13–9	0.04	19%	1 May →
cache	5–13	0.00	19%	29 Apr →
cache	13–4	0.07	26%	29 Apr →
cache	12–12	0.00	25%	29 Apr →
cache	13–0	-0.01	37%	29 Apr →
cache	4–0	-0.04	8%	29 Apr →
mirage	10–13	-0.04	26%	27 Apr →
inferno	9–13	-0.06	21%	27 Apr →
mirage	13–8	0.04	18%	16 Apr →
dust2	13–5	-0.01	24%	16 Apr →
anubis	13–16	0.02	14%	16 Apr →
ancient	13–5	0.00	16%	15 Apr →
overpass	16–12	0.02	19%	15 Apr →
ancient	4–13	0.01	45%	9 Apr →
mirage	13–7	0.02	14%	9 Apr →
anubis	13–6	-0.05	16%	8 Apr →
anubis	13–6	0.04	23%	8 Apr →
overpass	13–6	0.03	17%	7 Apr →
ancient	10–13	0.11	22%	7 Apr →
inferno	7–2	-0.01	8%	7 Apr →
ancient	4–13	-0.03	21%	7 Apr →
ancient	6–13	0.08	18%	6 Apr →
ancient	13–9	0.05	23%	6 Apr →
inferno	16–14	-0.02	11%	4 Apr →
warden	13–9	-0.02	16%	4 Apr →
overpass	6–13	0.05	18%	2 Apr →
mirage	13–4	0.05	17%	2 Apr →
anubis	13–5	0.02	16%	2 Apr →
dust2	6–13	-0.05	24%	1 Apr →
anubis	13–4	0.08	30%	1 Apr →
inferno	13–10	-0.08	19%	31 Mar →
overpass	13–6	-0.04	34%	31 Mar →
inferno	16–13	-0.03	13%	29 Mar →
ancient	13–9	0.03	17%	29 Mar →
anubis	9–13	-0.02	15%	28 Mar →
inferno	13–9	0.03	29%	27 Mar →
mirage	8–13	-0.07	10%	27 Mar →
nuke	17–19	-0.01	22%	25 Mar →
mirage	1–13	-0.07	36%	25 Mar →
ancient	13–8	-0.05	14%	25 Mar →
mirage	13–10	0.01	27%	22 Mar →