benjborg — CS2 Stats

76561197960635415[U:1:369687]

3,210Tracked matches47%Win rate2020Tracked since

CSDB Rating6.3 SolidAggressive Rifler

FaceitLevel 10 · 2,556 ELOTop 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

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Performance scores

Aim71

Positioning65

Utility71

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateLLLWLWLLWW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

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

Aim7.1

Aggression10.0

Utility7.1

Positioning6.5

Opening Duels5.0

Clutch3.2

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 ZywOo 91% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 586ms 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

Aim7.1

Positioning6.5

Utility7.1

Mechanics5.2

Opening Duels5.0

Win Impact3.9

Composite 6.3/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time582ms−15ms

first ⅓ avg 597ms → last ⅓ avg 582ms

Headshot accuracy22.0%−2.3%

first ⅓ avg 24.3% → last ⅓ avg 22.0%

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 13–6

13–1Biggest win — mirage

7Longest win streak

L3Current streak

14–14In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 91% over 11cacheWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
ancient	C	21	9–12	43%	0.02
mirage	S	18	12–6	67%	0.02
dust2	B	17	8–9	47%	0.00
inferno	S	11	10–1	91%	0.01
cache	C	8	3–5	38%	-0.01
overpass	A	8	5–3	63%	0.02
nuke	C	7	3–4	43%	0.01
anubis	S	7	5–2	71%	0.00
train	—	3	0–3	0%	-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

4,934Matches

50%Win rate

1.11Avg K/D

74.3ADR

42%Headshot %

Clutches & streaks

36%1v1 clutch win

24%1v2 clutch win

15Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	255	48%	1.04	15.8
Anubis	208	46%	1.09	15.5
Inferno	157	57%	1.08	15.7
Mirage	154	45%	1.03	15.3
Dust2	133	51%	1.01	14.5
Nuke	130	61%	1.14	16.5
Overpass	48	56%	1.08	15.1
Cache	25	56%	1.10	16.4

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.

22.1%Headshot accuracy

35.1%Accuracy (enemy spotted)

35.1%Spray accuracy

73.6%Counter-strafing

9.3°Preaim

586msReaction time

37.2%T opening success

62.8%CT opening success

0.70Enemies flashed / flash

11.5%Flash assists

10.51HE damage / grenade

15.32Flashes / 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 37.2483% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
ancient	11–13	-0.03	21%	20 Aug →
nuke	11–13	-0.02	28%	11 Aug →
dust2	14–16	-0.02	10%	8 Aug →
dust2	13–4	0.11	20%	4 Aug →
cache	9–13	0.11	18%	4 Aug →
dust2	22–20	-0.01	18%	4 Aug →
cache	11–13	-0.03	37%	30 Jul →
cache	16–19	-0.02	19%	30 Jul →
inferno	13–6	-0.01	31%	26 Jul →
cache	13–11	-0.07	12%	23 Jul →
ancient	13–9	0.09	18%	23 Jul →
mirage	13–10	0.08	48%	23 Jul →
ancient	7–13	-0.00	20%	23 Jul →
dust2	13–11	0.05	38%	23 Jul →
mirage	14–16	-0.01	17%	23 Jul →
anubis	13–5	-0.05	12%	14 Jul →
ancient	11–13	0.05	23%	13 Jul →
inferno	13–8	0.01	21%	12 Jul →
ancient	12–16	-0.01	32%	8 Jul →
ancient	13–9	0.03	15%	8 Jul →
mirage	13–1	-0.01	31%	7 Jul →
dust2	11–13	0.10	18%	6 Jul →
nuke	13–7	0.01	21%	30 Jun →
anubis	9–13	0.03	25%	29 Jun →
mirage	10–13	-0.04	18%	27 Jun →
nuke	11–13	0.01	20%	25 Jun →
mirage	16–14	0.08	20%	24 Jun →
dust2	13–8	0.11	15%	24 Jun →
ancient	9–13	0.03	18%	24 Jun →
dust2	5–13	-0.02	27%	24 Jun →
mirage	7–13	0.00	9%	24 Jun →
overpass	13–2	0.09	28%	19 Jun →
inferno	13–7	-0.03	18%	19 Jun →
ancient	13–1	-0.00	10%	15 Jun →
mirage	13–10	-0.06	25%	15 Jun →
inferno	13–5	0.00	18%	15 Jun →
dust2	3–13	-0.09	5%	15 Jun →
dust2	6–13	-0.03	20%	13 Jun →
overpass	13–11	-0.06	15%	13 Jun →
ancient	3–13	-0.01	30%	11 Jun →
nuke	13–7	0.01	32%	5 Jun →
cache	17–19	0.01	21%	4 Jun →
anubis	4–13	0.03	7%	21 May →
inferno	13–8	-0.00	17%	17 May →
overpass	13–7	0.08	29%	9 May →
dust2	9–13	0.00	23%	7 May →
ancient	11–13	0.03	21%	6 May →
inferno	13–4	0.03	25%	30 Apr →
dust2	1–13	-0.06	21%	29 Apr →
cache	13–11	-0.01	38%	29 Apr →
cache	7–13	-0.06	8%	26 Apr →
dust2	13–9	-0.01	20%	24 Apr →
cache	13–10	-0.01	22%	24 Apr →
dust2	13–11	-0.02	34%	23 Apr →
anubis	13–11	0.03	27%	22 Apr →
anubis	13–5	-0.00	9%	15 Apr →
ancient	13–3	0.02	34%	25 Mar →
mirage	13–7	0.04	28%	23 Mar →
mirage	11–13	0.08	21%	21 Mar →
overpass	13–11	-0.02	27%	28 Feb →
ancient	16–13	0.03	28%	22 Feb →
inferno	16–12	0.03	29%	21 Feb →
mirage	13–5	-0.00	19%	16 Feb →
overpass	4–13	0.03	22%	1 Feb →
inferno	13–6	-0.01	29%	25 Jan →
mirage	13–6	0.13	27%	24 Jan →
ancient	9–13	-0.01	31%	18 Jan →
ancient	13–10	-0.00	20%	17 Jan →
dust2	2–13	-0.05	33%	17 Jan →
inferno	13–10	0.02	21%	17 Jan →
mirage	13–9	0.07	30%	11 Jan →
anubis	13–7	-0.01	24%	11 Jan →
anubis	16–13	-0.00	34%	11 Jan →
overpass	8–13	0.01	24%	10 Jan →
nuke	11–13	0.03	28%	2 Jan →
nuke	13–11	-0.02	19%	2 Jan →
overpass	8–13	0.02	31%	22 Dec →
overpass	16–13	0.00	20%	22 Dec →
ancient	5–0	0.06	50%	22 Dec →
mirage	4–13	0.03	26%	21 Dec →
ancient	3–13	-0.09	19%	21 Dec →
train	10–13	-0.03	5%	21 Dec →
mirage	16–14	-0.01	19%	21 Dec →
dust2	13–11	-0.02	16%	20 Dec →
ancient	13–9	0.07	24%	20 Dec →
mirage	10–13	-0.00	13%	15 Dec →
ancient	10–13	0.04	23%	10 Dec →
train	14–16	0.00	20%	4 Dec →
dust2	13–11	0.06	23%	25 Nov →
mirage	13–11	0.06	27%	25 Nov →
mirage	13–9	0.03	25%	17 Nov →
mirage	13–7	-0.01	29%	13 Nov →
train	4–13	-0.05	17%	13 Nov →
inferno	11–13	-0.03	29%	12 Nov →
ancient	10–13	-0.03	19%	7 Nov →
nuke	6–13	0.04	31%	7 Nov →
ancient	13–9	0.08	20%	26 Oct →
inferno	13–9	0.07	35%	26 Oct →
ancient	8–13	0.03	19%	25 Oct →
dust2	9–13	-0.04	28%	25 Oct →