B3nds0n — CS2 Stats

76561198045853735[U:1:85588007]✓ No bans

1,139Tracked matches50%Win rate2020Tracked since

4,221Hours in CS3Hrs last 2 wks

CSDB Rating5.3 DevelopingHybrid Rifler

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanMaster Guardian I

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

Aim61

Positioning53

Utility64

0–100 skill scores via Leetify.

Recent form

STEADY41–55–4Last 10041%Win rateWLWLWLLWLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

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

Aim6.1

Aggression6.1

Utility6.4

Positioning5.3

Opening Duels1.8

Clutch4.8

Strong CT-side opener

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 89% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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 49% on CT to 25% 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

Aim6.1

Positioning5.3

Utility6.4

Mechanics4.6

Opening Duels2.4

Win Impact5.0

Composite 5.3/10 (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 rating0.02+0.02

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time618ms−5ms

first ⅓ avg 623ms → last ⅓ avg 618ms

Headshot accuracy17.6%−1.1%

first ⅓ avg 18.7% → last ⅓ avg 17.6%

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

0.14Best rating — office 11–13

13–1Biggest win — dust2

4Longest win streak

8–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

overpassBest map · 67% over 6cacheWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	20	9–11	45%	0.00
dust2	C	19	8–11	42%	0.01
inferno	C	16	7–9	44%	0.00
cache	D	15	4–11	27%	0.00
ancient	D	10	3–7	30%	0.01
overpass	S	6	4–2	67%	0.03
anubis	—	4	2–2	50%	0.03
office	—	3	1–2	33%	0.08
nuke	—	3	0–3	0%	0.02
shelter	—	2	1–1	50%	0.03
boulder	—	1	1–0	100%	0.02
vertigo	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Lifetime stats

119,046Lifetime kills

1.07K/D · Top 50% of tracked players

5,355Matches

41.9%Match win rate

52.4%Headshot % · Top 25% of tracked players

18.7%Shot accuracy · Top 10% of tracked players

12,160MVPs

2,595Hours (in match)

8,588Bombs planted

1,881Bombs defused

Most-used weapons

AK-4745,039

M4A4 / M4A1-S17,925

P2000 / USP-S8,307

AWP7,419

Desert Eagle7,223

P2503,865

Glock-183,333

FAMAS3,017

MAC-101,894

SG 5531,768

Lifetime map wins

9,434dust2

8,248inferno

1,745vertigo

1,724nuke

1,278train

508cbble

175office

167bank

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

Faceit stats

Combat

455Matches

47%Win rate

1.05Avg K/D

71.5ADR

42%Headshot %

Clutches & streaks

44%1v1 clutch win

19%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	24	46%	1.08	13.9
Inferno	14	14%	0.71	10.1
Mirage	10	40%	0.93	11.1
Anubis	10	50%	1.15	14.8
Vertigo	8	50%	1.24	15.4
Overpass	7	43%	1.15	14.7
Rio de Janeiro	3	67%	0.98	16.3
Nuke	2	50%	0.90	11.0

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.

17.4%Headshot accuracy

36.8%Accuracy (enemy spotted)

42.7%Spray accuracy

70.5%Counter-strafing

11.8°Preaim

616msReaction time

25.3%T opening success

49.3%CT opening success

0.55Enemies flashed / flash

7.0%Flash assists

13.10HE damage / grenade

6.68Flashes / 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 25.2507% — below the 40% mark we flag

Spend your practice time on Cache

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–5	0.05	24%	25 Aug →
inferno	5–13	0.01	14%	25 Aug →
dust2	13–11	0.03	18%	24 Aug →
dust2	10–13	0.06	26%	21 Aug →
cache	13–11	0.05	10%	1 Aug →
cache	8–13	-0.04	9%	31 Jul →
mirage	8–13	0.03	24%	30 Jul →
anubis	13–5	0.10	30%	21 Jul →
cache	8–13	0.00	17%	18 Jul →
mirage	7–13	-0.06	26%	17 Jul →
cache	2–13	-0.06	10%	17 Jul →
cache	7–13	0.00	6%	17 Jul →
cache	6–13	-0.04	8%	15 Jul →
inferno	10–13	0.00	26%	15 Jul →
shelter	13–9	0.04	13%	15 Jul →
mirage	11–0	-0.02	31%	14 Jul →
dust2	13–10	0.06	20%	14 Jul →
boulder	13–8	0.02	25%	11 Jul →
shelter	4–13	0.03	17%	11 Jul →
dust2	7–13	-0.02	14%	10 Jul →
office	13–3	0.12	26%	10 Jul →
office	11–13	0.14	13%	8 Jul →
mirage	13–5	0.03	16%	4 Jul →
overpass	13–8	0.08	13%	3 Jul →
dust2	13–8	0.04	20%	3 Jul →
inferno	13–4	0.03	17%	3 Jul →
inferno	7–13	0.02	20%	3 Jul →
ancient	13–6	0.06	11%	3 Jul →
mirage	7–13	0.02	14%	3 Jul →
mirage	16–14	-0.02	11%	2 Jul →
nuke	11–13	0.03	16%	1 Jul →
inferno	10–13	0.02	14%	1 Jul →
mirage	13–16	0.02	21%	29 Jun →
dust2	5–13	-0.04	29%	29 Jun →
dust2	1–13	-0.04	29%	28 Jun →
dust2	10–13	-0.03	18%	28 Jun →
dust2	15–15	-0.04	13%	28 Jun →
overpass	11–0	0.02	30%	28 Jun →
ancient	14–16	0.03	22%	28 Jun →
mirage	6–13	-0.06	26%	28 Jun →
ancient	13–10	-0.03	21%	24 Jun →
mirage	13–10	-0.05	16%	24 Jun →
inferno	12–16	0.01	22%	22 Jun →
ancient	9–13	0.04	35%	22 Jun →
mirage	15–15	0.00	19%	22 Jun →
dust2	13–1	0.08	47%	22 Jun →
overpass	8–13	0.00	33%	22 Jun →
inferno	6–13	0.01	18%	22 Jun →
mirage	13–9	0.04	16%	16 Jun →
mirage	13–6	0.06	15%	12 Jun →
cache	12–12	0.01	12%	12 Jun →
inferno	11–13	-0.03	15%	10 Jun →
ancient	3–13	0.01	23%	10 Jun →
cache	6–13	-0.01	29%	9 Jun →
cache	13–10	0.03	27%	6 Jun →
dust2	13–10	0.03	23%	6 Jun →
ancient	12–12	0.04	25%	4 Jun →
mirage	8–13	0.01	15%	4 Jun →
inferno	13–5	-0.01	17%	2 Jun →
mirage	13–11	0.03	29%	2 Jun →
cache	13–11	0.06	31%	2 Jun →
cache	13–2	0.06	22%	31 May →
mirage	7–13	-0.03	11%	31 May →
dust2	9–13	0.04	30%	31 May →
cache	5–13	0.02	27%	30 May →
ancient	6–13	-0.05	16%	29 May →
inferno	13–10	-0.06	21%	29 May →
inferno	9–13	0.01	26%	27 May →
cache	9–13	0.03	18%	27 May →
vertigo	13–11	0.04	27%	27 May →
cache	4–13	-0.03	24%	25 May →
ancient	6–13	-0.08	18%	25 May →
mirage	2–13	-0.09	20%	25 May →
inferno	13–10	-0.03	16%	25 May →
overpass	10–13	0.00	19%	24 May →
nuke	8–13	-0.01	10%	24 May →
dust2	16–14	-0.01	16%	24 May →
inferno	5–13	-0.04	23%	22 May →
cache	9–13	-0.06	14%	22 May →
dust2	7–13	0.01	17%	20 May →
ancient	13–8	0.09	12%	18 May →
anubis	4–13	0.01	12%	18 May →
mirage	11–13	0.06	12%	17 May →
dust2	13–6	0.07	23%	17 May →
inferno	13–10	0.02	22%	17 May →
dust2	13–8	0.01	26%	17 May →
overpass	13–11	0.08	19%	17 May →
nuke	9–13	0.04	22%	16 May →
office	9–13	-0.03	23%	16 May →
mirage	13–8	0.02	20%	16 May →
anubis	5–13	0.01	16%	16 May →
overpass	8–1	0.02	0%	16 May →
inferno	13–3	0.00	25%	16 May →
mirage	11–13	0.01	23%	16 May →
anubis	13–10	0.01	23%	16 May →
ancient	10–13	0.03	18%	16 May →
dust2	4–13	-0.09	19%	16 May →
dust2	11–13	0.08	21%	16 May →
dust2	5–13	0.02	21%	16 May →
mirage	13–7	0.06	15%	16 May →