JS_Bosoxk — CS2 Stats

TM76561198967785189[U:1:1007519461]Steam profile ↗✓ No bans

790Tracked matches38%Win rate2020Tracked since

1,398Hours in CS1Hrs last 2 wks

CSDB Rating4.5 DevelopingPassive Rifler

FaceitLevel 3Top 90.6% of ranked FACEIT players

WingmanMaster Guardian I

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 3 median	Level 4 median	vs Level 4
Headshot rate	52.7%	42.1%	42.5%	above
Shot accuracy	13.3%	12.1%	10.9%	above
Kill/death ratio	1.09	0.99	0.99	above
Match win rate	44.6%	43.9%	44.2%	meets

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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

Aim65

Positioning36

Utility41

0–100 skill scores via Leetify.

Recent form

COLD48–49–3Last 10048%Win rateLLWWWLLLLL

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

Player DNA

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

Aim6.5

Aggression2.4

Utility4.1

Positioning3.6

Opening Duels0.0

Clutch4.0

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 76% 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

Reaction time. 641ms 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

Aim6.5

Positioning3.6

Utility4.1

Mechanics7.3

Opening Duels0.0

Win Impact1.0

Composite 4.5/10 (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 rating-0.02−0.04

first ⅓ avg 0.02 → last ⅓ avg -0.02

Reaction time647ms−2ms

first ⅓ avg 649ms → last ⅓ avg 647ms

Headshot accuracy24.7%−1.8%

first ⅓ avg 26.5% → last ⅓ avg 24.7%

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 — nuke 5–0

13–0Biggest win — ancient

4Longest win streak

L2Current streak

7–6In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 67% over 9ancientWeakest map · 33% over 15

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	15	5–10	33%	-0.02
cache	B	13	7–6	54%	-0.02
inferno	A	12	7–5	58%	0.01
mirage	C	12	5–7	42%	0.00
dust2	B	11	5–6	45%	-0.00
anubis	C	10	4–6	40%	0.00
nuke	S	9	6–3	67%	0.03
vertigo	B	6	3–3	50%	-0.04
overpass	—	4	1–3	25%	-0.05
train	—	4	2–2	50%	0.04
warden	—	2	2–0	100%	0.03
boulder	—	1	1–0	100%	-0.01
office	—	1	0–1	0%	-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,367Lifetime kills

1.09K/D · Top 50% of Level 3 players

2,161Matches

44.6%Match win rate · Top 50% of Level 3 players

52.7%Headshot % · Top 25% of Level 3 players

13.3%Shot accuracy · Top 50% of Level 3 players

5,814MVPs

684Hours (in match)

1,010Bombs planted

489Bombs defused

Most-used weapons

AK-4713,745

M4A4 / M4A1-S6,734

P2000 / USP-S2,778

AWP2,321

Glock-181,859

MP91,596

MAC-101,200

Desert Eagle880

SG 553823

Galil AR823

Lifetime map wins

3,118vertigo

1,959inferno

1,522dust2

1,172nuke

738train

638cbble

189office

31lake

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

Faceit stats

Combat

42Matches

62%Win rate

1.26Avg K/D

93.7ADR

56%Headshot %

Clutches & streaks

40%1v1 clutch win

45%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	8	75%	1.60	17.6
Ancient	5	80%	1.24	20.8
Anubis	5	60%	1.12	22.0
Train	3	67%	1.27	32.7
Vertigo	2	100%	1.16	22.5
Nuke	2	100%	1.18	14.5
Dust2	2	100%	2.74	29.0
Inferno	1	100%	1.25	15.0

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.

23.8%Headshot accuracy

31.0%Accuracy (enemy spotted)

32.8%Spray accuracy

82.8%Counter-strafing

10.0°Preaim

641msReaction time

29.3%T opening success

27.2%CT opening success

0.48Enemies flashed / flash

5.2%Flash assists

8.67HE damage / grenade

6.43Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4768 — below the 0.5 mark we flag
Grenade Lineups →
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 29.263% — 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 15 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
overpass	9–13	-0.04	19%	25 Aug →
ancient	4–13	-0.03	27%	9 Aug →
nuke	13–11	0.00	44%	7 Aug →
dust2	13–10	-0.05	19%	6 Aug →
cache	13–5	0.04	31%	6 Aug →
inferno	9–13	-0.06	15%	4 Aug →
inferno	9–13	-0.04	21%	4 Aug →
dust2	9–13	-0.00	20%	4 Aug →
vertigo	4–9	-0.19	9%	31 Jul →
overpass	2–11	-0.14	25%	31 Jul →
ancient	10–13	0.01	33%	31 Jul →
vertigo	6–13	-0.09	71%	31 Jul →
ancient	4–13	0.00	39%	30 Jul →
ancient	3–13	-0.07	25%	29 Jul →
cache	13–11	-0.01	13%	28 Jul →
inferno	9–6	0.09	24%	28 Jul →
inferno	9–5	0.02	25%	28 Jul →
ancient	11–13	-0.02	18%	28 Jul →
mirage	10–13	-0.03	14%	27 Jul →
ancient	13–11	-0.02	20%	21 Jul →
ancient	6–13	-0.07	26%	21 Jul →
cache	12–12	-0.03	16%	20 Jul →
mirage	2–13	-0.05	18%	17 Jul →
boulder	13–5	-0.01	18%	15 Jul →
ancient	9–13	-0.07	23%	13 Jul →
inferno	13–5	0.06	21%	12 Jul →
mirage	13–6	0.02	21%	12 Jul →
mirage	16–13	0.02	19%	12 Jul →
ancient	14–16	-0.05	22%	10 Jul →
cache	11–13	-0.04	17%	10 Jul →
anubis	13–6	0.01	36%	10 Jul →
inferno	9–13	-0.02	27%	7 Jul →
vertigo	13–4	0.04	37%	7 Jul →
cache	6–13	-0.02	24%	7 Jul →
dust2	5–13	-0.07	27%	30 Jun →
ancient	7–13	-0.05	38%	29 Jun →
cache	2–4	-0.10	20%	25 Jun →
mirage	10–4	-0.02	53%	25 Jun →
train	6–13	0.07	32%	18 Jun →
train	13–6	0.08	25%	18 Jun →
overpass	9–13	-0.08	39%	17 Jun →
cache	6–13	-0.07	42%	15 Jun →
nuke	6–13	-0.06	41%	13 Jun →
inferno	13–6	-0.01	28%	11 Jun →
train	13–7	0.06	27%	11 Jun →
anubis	13–6	-0.01	21%	10 Jun →
nuke	13–6	-0.03	21%	10 Jun →
office	8–13	-0.09	16%	10 Jun →
dust2	5–13	-0.03	32%	9 Jun →
vertigo	8–13	-0.03	30%	9 Jun →
nuke	5–0	0.13	22%	9 Jun →
inferno	13–10	-0.02	13%	9 Jun →
nuke	6–13	0.04	33%	8 Jun →
vertigo	7–6	0.03	53%	8 Jun →
anubis	13–1	-0.00	8%	8 Jun →
cache	13–2	-0.01	22%	8 Jun →
anubis	12–16	-0.04	14%	5 Jun →
warden	13–5	-0.03	31%	5 Jun →
anubis	13–3	-0.00	38%	5 Jun →
warden	13–7	0.08	30%	5 Jun →
train	6–13	-0.04	28%	4 Jun →
cache	13–11	-0.06	25%	4 Jun →
ancient	13–7	0.02	17%	4 Jun →
mirage	10–13	0.10	28%	4 Jun →
cache	13–7	0.06	27%	28 May →
mirage	13–11	0.03	20%	27 May →
mirage	10–13	0.01	16%	27 May →
inferno	13–5	0.01	14%	27 May →
vertigo	13–6	0.04	33%	27 May →
mirage	13–10	0.01	13%	27 May →
nuke	8–13	-0.00	16%	25 May →
ancient	13–0	0.08	31%	25 May →
dust2	5–13	-0.02	26%	25 May →
dust2	7–13	-0.02	20%	22 May →
nuke	13–5	0.11	34%	20 May →
nuke	13–7	0.08	20%	20 May →
inferno	8–13	-0.03	31%	20 May →
dust2	12–12	0.07	31%	20 May →
anubis	10–13	-0.01	28%	9 May →
ancient	13–9	-0.00	55%	7 May →
mirage	5–13	-0.02	23%	6 May →
overpass	13–9	0.04	18%	6 May →
dust2	13–1	0.07	27%	6 May →
nuke	13–11	0.02	37%	6 May →
cache	6–13	0.03	20%	30 Apr →
cache	13–7	-0.05	19%	30 Apr →
anubis	11–13	0.03	25%	29 Apr →
mirage	10–13	-0.04	28%	29 Apr →
ancient	13–7	0.03	36%	29 Apr →
cache	13–5	0.04	26%	29 Apr →
inferno	8–8	0.01	33%	26 Apr →
anubis	11–13	0.08	25%	26 Apr →
dust2	13–7	-0.03	27%	25 Apr →
ancient	4–13	-0.08	25%	19 Apr →
inferno	13–3	0.12	33%	19 Apr →
dust2	13–10	0.03	31%	18 Apr →
dust2	13–9	0.01	21%	18 Apr →
mirage	12–16	-0.02	13%	17 Apr →
anubis	9–13	0.04	30%	17 Apr →
anubis	13–16	-0.05	24%	15 Apr →