botzouni — CS2 Stats

76561198014955478[U:1:54689750]✓ No bans

734Tracked matches55%Win rate2020Tracked since

CSDB Rating6.5 SolidHybrid Rifler

Premier CS Rating20,430Top 50% of 29,473 CSDB-tracked playersPink band · top ~8% of ranked players (population est.)

CSDB Leaderboard#16806 of 46346 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning49

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY55–43–2Last 10055%Win rateLLLWLWLWWW

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.

Aim7.6

Aggression6.1

Utility6.5

Positioning4.9

Opening Duels3.3

Clutch1.4

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 NiKo 91% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 61% 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 61% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms 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

Aim7.6

Positioning4.9

Utility6.5

Mechanics7.5

Opening Duels3.8

Win Impact6.7

Composite 6.5/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time590ms+19ms

first ⅓ avg 571ms → last ⅓ avg 590ms

Headshot accuracy16.2%+0.5%

first ⅓ avg 15.7% → last ⅓ avg 16.2%

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

0.25Best rating — inferno 9–4

13–0Biggest win — inferno

4Longest win streak

L3Current streak

8–6In matches decided by ≤2 rounds

10Overtime games

Map breakdown

overpassBest map · 100% over 5anubisWeakest map · 15% over 13

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	19	10–9	53%	-0.00
inferno	S	17	11–6	65%	0.02
nuke	B	16	8–8	50%	0.02
anubis	D	13	2–11	15%	-0.01
dust2	A	11	6–5	55%	-0.01
mirage	S	10	8–2	80%	0.02
cache	A	9	5–4	56%	0.00
overpass	S	5	5–0	100%	-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

103Matches

59%Win rate

1.15Avg K/D

84.0ADR

43%Headshot %

Clutches & streaks

27%1v1 clutch win

25%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	24	54%	1.17	16.8
Dust2	12	50%	1.04	15.0
Cache	11	64%	1.00	14.9
Ancient	10	50%	1.05	17.1
Inferno	8	62%	1.04	17.3
Anubis	7	71%	0.97	16.0
Nuke	5	80%	1.75	15.6
Overpass	5	40%	1.08	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.

16.1%Headshot accuracy

38.2%Accuracy (enemy spotted)

42.2%Spray accuracy

83.7%Counter-strafing

10.4°Preaim

589msReaction time

25.7%T opening success

60.7%CT opening success

0.72Enemies flashed / flash

3.7%Flash assists

7.45HE damage / grenade

13.58Flashes / 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 25.7078% — below the 40% mark we flag

Spend your practice time on Anubis

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

15% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–16	-0.02	18%	20 Jul →
anubis	8–13	-0.02	11%	15 Jul →
nuke	9–13	0.04	12%	15 Jul →
cache	16–12	-0.01	17%	15 Jul →
inferno	14–16	0.03	15%	15 Jul →
cache	13–5	0.03	17%	14 Jul →
nuke	3–13	-0.09	21%	14 Jul →
ancient	13–8	-0.01	16%	14 Jul →
inferno	13–4	0.09	18%	14 Jul →
inferno	13–8	0.05	17%	14 Jul →
ancient	13–11	0.01	19%	13 Jul →
cache	15–15	0.04	15%	13 Jul →
anubis	10–13	0.08	11%	13 Jul →
nuke	13–10	0.01	17%	13 Jul →
ancient	13–10	0.01	14%	13 Jul →
ancient	9–13	0.03	8%	13 Jul →
mirage	13–5	0.05	13%	12 Jul →
dust2	13–6	0.03	10%	12 Jul →
anubis	1–13	-0.03	10%	12 Jul →
cache	13–8	0.02	17%	12 Jul →
nuke	13–1	0.15	20%	12 Jul →
ancient	13–10	0.02	15%	12 Jul →
nuke	6–13	-0.02	29%	11 Jul →
mirage	13–9	-0.02	17%	11 Jul →
ancient	8–13	-0.05	21%	11 Jul →
cache	5–13	-0.02	16%	11 Jul →
inferno	13–9	0.00	25%	10 Jul →
inferno	13–0	0.10	17%	10 Jul →
nuke	10–13	0.05	17%	10 Jul →
ancient	6–13	0.01	11%	10 Jul →
anubis	15–15	0.03	20%	10 Jul →
inferno	13–5	0.08	17%	10 Jul →
ancient	13–11	0.01	12%	10 Jul →
nuke	8–13	-0.07	13%	9 Jul →
anubis	6–13	-0.05	13%	9 Jul →
mirage	6–13	-0.05	10%	9 Jul →
nuke	9–13	-0.02	8%	4 Jul →
anubis	4–13	-0.03	29%	4 Jul →
ancient	13–16	-0.03	9%	4 Jul →
nuke	13–11	0.02	14%	3 Jul →
dust2	13–11	0.03	25%	3 Jul →
mirage	13–7	-0.01	16%	3 Jul →
dust2	0–9	-0.06	21%	2 Jul →
inferno	13–9	0.01	37%	2 Jul →
inferno	5–13	-0.04	23%	2 Jul →
dust2	7–13	-0.01	22%	2 Jul →
anubis	13–7	0.06	9%	2 Jul →
inferno	13–8	0.03	9%	2 Jul →
nuke	13–11	0.06	22%	1 Jul →
mirage	13–3	0.07	30%	1 Jul →
cache	5–13	-0.04	14%	1 Jul →
cache	6–13	-0.03	21%	30 Jun →
cache	13–7	0.01	32%	30 Jun →
cache	13–4	0.01	29%	30 Jun →
inferno	4–13	-0.08	5%	23 Jun →
ancient	13–10	0.02	23%	23 Jun →
dust2	8–7	-0.09	17%	23 Jun →
dust2	13–8	0.00	9%	23 Jun →
nuke	11–13	-0.01	32%	23 Jun →
overpass	13–5	-0.04	7%	23 Jun →
anubis	5–13	-0.06	3%	23 Jun →
ancient	13–9	-0.00	14%	23 Jun →
anubis	13–11	0.02	22%	23 Jun →
overpass	16–12	-0.01	21%	22 Jun →
ancient	3–13	-0.10	10%	22 Jun →
ancient	13–5	0.01	9%	22 Jun →
overpass	13–2	-0.00	18%	22 Jun →
inferno	1–13	-0.11	67%	22 Jun →
ancient	9–13	0.07	11%	22 Jun →
mirage	13–1	0.07	25%	22 Jun →
nuke	13–5	0.10	29%	22 Jun →
nuke	4–13	-0.05	6%	21 Jun →
inferno	9–13	0.02	13%	21 Jun →
ancient	13–9	-0.07	7%	21 Jun →
mirage	16–12	0.10	22%	20 Jun →
dust2	16–12	-0.04	5%	20 Jun →
ancient	11–13	0.05	11%	20 Jun →
overpass	13–6	0.00	15%	20 Jun →
inferno	0–9	-0.11	0%	19 Jun →
inferno	9–4	0.25	22%	19 Jun →
nuke	9–4	0.02	29%	19 Jun →
inferno	9–3	0.07	11%	19 Jun →
dust2	13–6	0.10	23%	19 Jun →
dust2	11–13	-0.08	16%	19 Jun →
anubis	2–13	-0.07	14%	18 Jun →
ancient	11–13	-0.07	4%	18 Jun →
mirage	13–11	-0.05	3%	18 Jun →
inferno	13–4	0.06	18%	13 Jun →
mirage	13–5	0.06	16%	13 Jun →
anubis	10–13	0.00	13%	12 Jun →
ancient	13–6	0.03	27%	12 Jun →
inferno	13–7	-0.04	6%	12 Jun →
dust2	5–13	-0.01	11%	12 Jun →
nuke	13–6	0.08	19%	12 Jun →
nuke	16–12	0.05	17%	12 Jun →
anubis	8–13	-0.00	14%	12 Jun →
ancient	11–13	0.02	18%	12 Jun →
anubis	4–13	-0.06	11%	12 Jun →
overpass	13–8	-0.07	12%	12 Jun →
mirage	7–13	-0.03	3%	12 Jun →