bosiks! — CS2 Stats

76561198039371874[U:1:79106146]Steam profile ↗✓ No bans

5,639Tracked matches33%Win rate2020Tracked since

CSDB Rating5.5 SolidHybrid Rifler

FaceitLevel 10 · 2,589 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim79

Positioning48

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY42–57–1Last 10042%Win rateWLWLLLLWWL

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

Player DNA

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

Aim7.9

Aggression4.5

Utility5.8

Positioning4.8

Opening Duels2.0

Clutch3.8

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 93% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 47% on CT to 29% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim7.9

Positioning4.8

Utility5.8

Mechanics6.3

Opening Duels2.2

Win Impact0.0

Composite 5.5/10 (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 rating-0.01−0.01

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time559ms−10ms

first ⅓ avg 569ms → last ⅓ avg 559ms

Headshot accuracy17.5%−2.2%

first ⅓ avg 19.7% → last ⅓ avg 17.5%

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 — dust2 13–11

13–2Biggest win — ancient

4Longest win streak

11–16In matches decided by ≤2 rounds

11Overtime games

Map breakdown

ancientBest map · 50% over 22dust2Weakest map · 35% over 23

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	8–15	35%	0.00
ancient	B	22	11–11	50%	-0.00
mirage	C	17	7–10	41%	0.00
anubis	C	13	5–8	38%	-0.00
inferno	B	12	6–6	50%	0.01
nuke	C	10	4–6	40%	-0.02
cache	—	3	1–2	33%	-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11,005Matches

49%Win rate

1.04Avg K/D

81.0ADR

48%Headshot %

Clutches & streaks

39%1v1 clutch win

20%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	867	51%	1.06	15.8
Ancient	720	49%	1.03	16.1
Dust2	704	51%	1.06	16.1
Anubis	552	47%	1.00	15.9
Nuke	337	49%	1.03	16.4
Inferno	337	51%	1.08	16.4
Overpass	130	50%	1.12	16.4
Vertigo	81	49%	1.04	16.0

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.

17.6%Headshot accuracy

37.4%Accuracy (enemy spotted)

43.0%Spray accuracy

78.5%Counter-strafing

9.2°Preaim

564msReaction time

28.9%T opening success

47.2%CT opening success

0.70Enemies flashed / flash

5.1%Flash assists

8.81HE damage / grenade

5.99Flashes / 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 28.9069% — below the 40% mark we flag

Spend your practice time on Dust 2

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

35% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–9	0.04	14%	27 Aug →
nuke	2–13	-0.04	19%	27 Aug →
ancient	13–11	0.01	14%	26 Aug →
ancient	6–13	-0.08	21%	26 Aug →
inferno	7–13	-0.05	5%	22 Aug →
ancient	9–13	0.03	21%	20 Aug →
dust2	11–13	0.04	17%	17 Aug →
dust2	16–13	0.02	23%	16 Aug →
ancient	13–3	0.07	25%	15 Aug →
nuke	8–13	-0.00	21%	11 Aug →
nuke	13–11	0.01	15%	11 Aug →
ancient	13–11	-0.04	24%	11 Aug →
dust2	2–13	-0.06	24%	10 Aug →
dust2	12–16	-0.02	15%	10 Aug →
anubis	9–13	0.02	13%	10 Aug →
anubis	13–9	0.02	17%	9 Aug →
mirage	10–13	-0.04	16%	7 Aug →
dust2	17–19	-0.02	22%	5 Aug →
inferno	8–13	-0.05	11%	3 Aug →
dust2	6–13	-0.02	31%	3 Aug →
ancient	13–2	0.02	16%	3 Aug →
inferno	13–9	-0.04	16%	2 Aug →
ancient	11–13	0.02	12%	30 Jul →
ancient	3–13	-0.01	8%	28 Jul →
mirage	11–13	-0.04	25%	27 Jul →
dust2	13–9	0.01	16%	27 Jul →
anubis	9–13	0.02	15%	26 Jul →
nuke	14–16	-0.05	14%	26 Jul →
ancient	16–19	-0.02	21%	21 Jul →
cache	5–13	-0.05	14%	20 Jul →
ancient	10–13	-0.02	16%	20 Jul →
mirage	8–13	0.00	18%	14 Jul →
mirage	6–13	0.05	18%	11 Jul →
dust2	13–6	0.03	34%	7 Jul →
ancient	13–8	-0.01	18%	5 Jul →
mirage	14–16	0.02	19%	5 Jul →
dust2	13–8	0.03	16%	4 Jul →
dust2	11–13	-0.01	21%	1 Jul →
anubis	11–13	0.01	28%	1 Jul →
dust2	16–19	-0.06	22%	30 Jun →
anubis	13–11	-0.04	7%	30 Jun →
ancient	13–9	-0.00	17%	29 Jun →
mirage	4–13	-0.03	15%	29 Jun →
nuke	13–11	-0.02	24%	22 Jun →
dust2	5–13	-0.00	19%	16 Jun →
anubis	14–16	-0.01	20%	15 Jun →
anubis	13–7	0.00	25%	4 Jun →
inferno	13–7	-0.01	20%	2 Jun →
ancient	13–8	0.04	12%	27 May →
inferno	11–13	0.03	14%	25 May →
dust2	17–19	0.03	21%	25 May →
dust2	13–9	0.00	26%	24 May →
anubis	7–13	-0.07	11%	19 May →
cache	13–9	0.04	25%	18 May →
nuke	13–11	-0.05	28%	18 May →
mirage	11–13	0.01	20%	17 May →
anubis	13–6	-0.01	13%	17 May →
mirage	13–10	-0.01	13%	11 May →
inferno	3–13	-0.03	12%	11 May →
anubis	10–13	-0.03	15%	9 May →
anubis	11–13	-0.01	16%	30 Apr →
inferno	13–6	0.04	11%	30 Apr →
cache	10–13	0.00	14%	29 Apr →
anubis	8–13	0.03	25%	29 Apr →
ancient	13–11	-0.02	22%	29 Apr →
dust2	5–13	0.01	23%	28 Apr →
ancient	13–11	0.01	17%	28 Apr →
ancient	11–13	-0.02	14%	28 Apr →
mirage	8–13	0.02	17%	28 Apr →
mirage	13–7	-0.00	23%	28 Apr →
inferno	5–13	-0.02	18%	26 Apr →
ancient	9–13	-0.05	15%	26 Apr →
ancient	8–13	-0.03	19%	25 Apr →
mirage	5–13	-0.02	19%	25 Apr →
inferno	13–11	0.03	20%	25 Apr →
mirage	13–4	0.06	11%	22 Apr →
anubis	13–8	0.01	12%	22 Apr →
nuke	13–4	0.06	19%	21 Apr →
dust2	5–13	-0.04	7%	21 Apr →
dust2	13–11	0.12	29%	21 Apr →
mirage	13–11	-0.03	9%	21 Apr →
inferno	14–16	0.05	21%	20 Apr →
ancient	11–13	0.05	20%	20 Apr →
nuke	10–13	0.05	14%	20 Apr →
nuke	5–13	-0.09	11%	20 Apr →
mirage	13–5	0.03	26%	20 Apr →
ancient	13–4	-0.00	19%	20 Apr →
dust2	9–13	-0.03	35%	20 Apr →
ancient	13–3	0.08	11%	20 Apr →
dust2	2–13	-0.04	30%	20 Apr →
dust2	0–4	-0.05	50%	20 Apr →
nuke	2–13	-0.07	19%	20 Apr →
dust2	15–15	-0.03	32%	16 Apr →
mirage	13–4	0.05	13%	16 Apr →
dust2	13–10	0.00	23%	16 Apr →
inferno	13–2	0.08	19%	16 Apr →
ancient	5–13	-0.06	18%	16 Apr →
dust2	13–2	0.10	27%	16 Apr →
mirage	13–8	0.05	8%	15 Apr →
mirage	5–13	-0.03	21%	15 Apr →