꧁✪♕BOT♕✪꧂ — CS2 Stats

CZ76561198932873488[U:1:972607760]Steam profile ↗✓ No bans

4,778Tracked matches36%Win rate2020Tracked since

CSDB Rating5.7 SolidAggressive Rifler

Premier CS Rating18,702Purple band · top ~13.7% of ranked players (population est.)

CSDB Leaderboard#14139 of 29490 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning50

Utility74

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateTWLWWLLLLT

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.5

Aggression8.7

Utility7.4

Positioning5.0

Opening Duels4.0

Clutch0.0

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 jL 90% playstyle similarity

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

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

T-side openings. Opening success drops from 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim7.5

Positioning5.0

Utility7.4

Mechanics6.1

Opening Duels4.0

Win Impact0.2

Composite 5.7/10 (Solid), 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+0.03

first ⅓ avg -0.02 → last ⅓ avg 0.02

Reaction time577ms−23ms

first ⅓ avg 601ms → last ⅓ avg 577ms

Headshot accuracy23.5%+0.5%

first ⅓ avg 23.0% → last ⅓ avg 23.5%

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

0.11Best rating — nuke 13–9

13–1Biggest win — mirage

6Longest win streak

13–9In matches decided by ≤2 rounds

10Overtime games

Map breakdown

nukeBest map · 71% over 7cacheWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	33	12–21	36%	-0.00
inferno	C	24	10–14	42%	0.01
ancient	A	12	7–5	58%	-0.00
anubis	C	10	4–6	40%	-0.00
nuke	S	7	5–2	71%	0.01
cache	D	6	1–5	17%	-0.04
mirage	—	3	1–2	33%	-0.02
train	—	3	0–3	0%	-0.06
office	—	2	2–0	100%	0.03

Across the last 100 tracked matches.

Faceit stats

Combat

17Matches

41%Win rate

0.85Avg K/D

78.2ADR

47%Headshot %

Clutches & streaks

0%1v1 clutch win

25%1v2 clutch win

2Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	5	20%	0.83	17.8
Dust2	4	50%	1.04	14.5
Ancient	2	0%	0.58	13.5
Inferno	2	100%	1.05	17.0
Vertigo	2	100%	0.66	8.5
Nuke	1	0%	0.60	12.0
Anubis	1	0%	0.88	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.

23.0%Headshot accuracy

31.7%Accuracy (enemy spotted)

34.5%Spray accuracy

77.2%Counter-strafing

7.2°Preaim

581msReaction time

37.3%T opening success

54.9%CT opening success

0.73Enemies flashed / flash

4.4%Flash assists

15.15HE damage / grenade

9.51Flashes / 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 37.3332% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	15–15	-0.03	16%	27 Aug →
inferno	13–11	0.10	30%	27 Aug →
ancient	10–13	0.03	20%	27 Aug →
nuke	13–11	-0.01	13%	27 Aug →
inferno	13–7	-0.00	35%	27 Aug →
inferno	4–13	0.02	20%	27 Aug →
nuke	11–13	0.09	30%	26 Aug →
ancient	3–13	-0.01	23%	26 Aug →
dust2	8–13	0.04	14%	26 Aug →
inferno	15–15	-0.01	19%	26 Aug →
cache	5–13	-0.01	11%	26 Aug →
ancient	11–13	0.05	24%	26 Aug →
nuke	13–9	0.11	24%	26 Aug →
dust2	8–13	-0.06	21%	26 Aug →
anubis	9–13	0.09	44%	24 Aug →
dust2	10–13	0.04	19%	24 Aug →
nuke	13–9	0.03	20%	23 Aug →
dust2	13–11	-0.03	18%	23 Aug →
dust2	4–13	0.05	30%	23 Aug →
inferno	9–13	0.05	27%	23 Aug →
dust2	9–13	0.06	15%	23 Aug →
dust2	11–13	-0.04	21%	23 Aug →
dust2	13–8	0.05	30%	22 Aug →
anubis	11–13	-0.01	15%	22 Aug →
dust2	13–16	-0.02	34%	22 Aug →
dust2	13–10	0.01	24%	22 Aug →
office	13–8	0.04	33%	22 Aug →
dust2	7–13	-0.03	20%	21 Aug →
dust2	10–13	-0.00	16%	21 Aug →
cache	16–13	-0.06	25%	21 Aug →
dust2	6–13	-0.07	26%	21 Aug →
ancient	13–11	0.02	32%	21 Aug →
cache	4–13	-0.00	26%	21 Aug →
dust2	13–9	-0.03	22%	21 Aug →
ancient	16–14	-0.03	27%	21 Aug →
dust2	4–13	-0.08	21%	20 Aug →
nuke	13–9	-0.05	22%	20 Aug →
ancient	16–14	0.02	25%	20 Aug →
inferno	13–7	0.06	26%	20 Aug →
inferno	13–8	0.03	26%	19 Aug →
dust2	13–10	0.02	33%	19 Aug →
dust2	13–8	-0.02	36%	19 Aug →
inferno	14–16	-0.01	11%	19 Aug →
ancient	13–10	0.02	21%	18 Aug →
inferno	16–14	0.04	21%	18 Aug →
mirage	13–1	0.07	27%	18 Aug →
ancient	13–10	-0.01	39%	18 Aug →
dust2	11–13	0.06	30%	18 Aug →
inferno	13–11	0.00	32%	18 Aug →
inferno	6–13	-0.07	24%	18 Aug →
inferno	13–6	-0.02	31%	18 Aug →
dust2	13–10	0.01	31%	17 Aug →
anubis	13–11	0.06	17%	17 Aug →
anubis	4–13	-0.02	26%	17 Aug →
inferno	4–13	-0.02	22%	17 Aug →
ancient	10–13	-0.04	15%	17 Aug →
inferno	8–13	0.05	32%	17 Aug →
nuke	13–6	-0.02	18%	17 Aug →
anubis	13–3	0.01	10%	17 Aug →
office	13–11	0.03	25%	17 Aug →
dust2	5–13	-0.05	25%	17 Aug →
dust2	13–7	0.04	29%	16 Aug →
dust2	15–15	0.05	18%	16 Aug →
dust2	13–9	0.00	29%	16 Aug →
mirage	5–13	-0.06	21%	16 Aug →
anubis	4–13	-0.04	22%	16 Aug →
anubis	13–11	-0.02	17%	16 Aug →
inferno	13–6	0.03	20%	16 Aug →
dust2	11–13	-0.01	28%	14 Aug →
inferno	10–13	-0.05	20%	14 Aug →
anubis	13–5	-0.04	33%	13 Aug →
dust2	13–5	-0.01	12%	13 Aug →
cache	6–13	-0.09	16%	13 Aug →
inferno	8–13	0.06	21%	13 Aug →
ancient	13–11	-0.02	20%	13 Aug →
dust2	13–7	-0.04	21%	13 Aug →
train	2–13	-0.04	18%	13 Aug →
train	0–13	-0.08	29%	13 Aug →
train	2–13	-0.07	20%	13 Aug →
cache	8–13	-0.04	30%	12 Aug →
inferno	13–10	0.00	19%	12 Aug →
dust2	13–11	0.07	22%	12 Aug →
mirage	11–13	-0.08	22%	12 Aug →
ancient	13–10	-0.02	19%	12 Aug →
nuke	11–13	-0.07	21%	12 Aug →
inferno	4–13	-0.01	32%	11 Aug →
inferno	10–13	-0.02	33%	11 Aug →
dust2	15–15	0.07	22%	11 Aug →
anubis	1–13	-0.01	30%	11 Aug →
dust2	8–13	0.05	24%	11 Aug →
inferno	13–8	0.01	16%	11 Aug →
inferno	9–13	0.03	22%	11 Aug →
dust2	6–13	-0.05	15%	11 Aug →
dust2	6–13	-0.06	37%	11 Aug →
inferno	10–13	0.03	21%	11 Aug →
ancient	10–13	-0.02	34%	10 Aug →
dust2	8–13	0.00	28%	10 Aug →
cache	5–13	-0.02	22%	10 Aug →
inferno	8–13	0.01	21%	10 Aug →
dust2	3–13	-0.06	11%	10 Aug →