Flying chess bully FCB — CS2 Stats

76561198852764170[U:1:892498442]✓ No bans

1,152Tracked matches39%Win rate2023Tracked since

CSDB Rating4.2 Developing

FaceitLevel 8Top 31.2% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim48

Positioning46

Utility52

0–100 skill scores via Leetify.

Recent form

STEADY37–54–9Last 10037%Win rateLLWLLWLLWW

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

Player DNA

Aim4.8

Aggression1.7

Utility5.2

Positioning4.6

Opening Duels0.0

Clutch6.0

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: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 597ms 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

Aim4.8

Positioning4.6

Utility5.2

Mechanics6.1

Opening Duels0.1

Win Impact1.4

Composite 4.2/10 (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-0.02−0.02

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time596ms+3ms

first ⅓ avg 593ms → last ⅓ avg 596ms

Headshot accuracy11.8%−3.4%

first ⅓ avg 15.2% → last ⅓ avg 11.8%

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

0.10Best rating — mirage 7–13

13–1Biggest win — inferno

3Longest win streak

L2Current streak

4–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

dust2Best map · 56% over 18overpassWeakest map · 10% over 10

Map	Grade	Played	Record	Win rate	Avg rating
mirage	D	21	7–14	33%	-0.01
dust2	A	18	10–8	56%	-0.02
ancient	C	14	5–9	36%	-0.02
inferno	D	13	3–10	23%	-0.00
anubis	D	10	3–7	30%	-0.01
overpass	D	10	1–9	10%	-0.04
nuke	B	8	4–4	50%	-0.03
vertigo	—	4	2–2	50%	-0.00
train	—	2	2–0	100%	0.05

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

185Matches

56%Win rate

0.88Avg K/D

78.2ADR

36%Headshot %

Clutches & streaks

50%1v1 clutch win

25%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	57	60%	0.93	13.2
Inferno	33	42%	0.88	14.0
Vertigo	22	45%	0.75	11.9
Ancient	16	81%	0.99	14.2
Overpass	7	71%	1.01	15.0
Nuke	6	33%	1.07	16.0
Anubis	5	20%	0.83	16.8
Dust2	5	100%	1.44	19.0

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.

11.8%Headshot accuracy

30.5%Accuracy (enemy spotted)

33.9%Spray accuracy

77.3%Counter-strafing

10.4°Preaim

597msReaction time

19.7%T opening success

31.0%CT opening success

0.48Enemies flashed / flash

6.4%Flash assists

9.33HE damage / grenade

9.79Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.7775% — below the 15% mark we flag
Aim Training →
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 0.476 — 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 19.6965% — below the 40% mark we flag

Spend your practice time on Overpass

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

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	11–13	-0.02	11%	23 Apr →
mirage	3–13	-0.06	19%	23 Apr →
dust2	13–10	-0.07	6%	23 Apr →
inferno	10–13	0.04	14%	23 Apr →
nuke	7–13	0.05	7%	23 Apr →
nuke	13–10	-0.06	9%	22 Apr →
mirage	6–13	-0.04	15%	22 Apr →
ancient	9–13	-0.01	5%	22 Apr →
dust2	13–7	0.01	4%	18 Apr →
anubis	13–8	-0.04	5%	18 Apr →
ancient	13–3	0.04	11%	18 Apr →
inferno	7–13	-0.01	13%	18 Apr →
mirage	9–13	-0.08	15%	18 Apr →
anubis	11–13	-0.05	6%	18 Apr →
overpass	12–12	-0.04	14%	17 Apr →
dust2	8–13	-0.04	10%	17 Apr →
inferno	13–9	-0.03	18%	17 Apr →
inferno	13–11	-0.00	10%	15 Apr →
mirage	13–10	-0.03	20%	15 Apr →
dust2	7–13	-0.08	11%	15 Apr →
vertigo	7–13	0.01	19%	15 Apr →
ancient	13–9	-0.02	10%	15 Apr →
overpass	2–13	-0.11	9%	15 Apr →
mirage	15–15	-0.03	9%	14 Apr →
ancient	5–13	-0.05	16%	14 Apr →
inferno	8–13	-0.02	12%	14 Apr →
nuke	13–7	-0.05	16%	14 Apr →
dust2	13–7	-0.01	13%	13 Apr →
anubis	8–13	0.07	17%	12 Apr →
mirage	4–13	-0.01	16%	11 Apr →
ancient	11–13	-0.01	12%	11 Apr →
nuke	13–7	-0.03	10%	11 Apr →
dust2	13–10	0.02	11%	11 Apr →
inferno	12–12	-0.04	10%	11 Apr →
mirage	7–13	0.10	11%	30 Mar →
dust2	13–8	-0.05	8%	30 Mar →
mirage	11–13	-0.01	9%	28 Mar →
overpass	11–13	0.01	14%	28 Mar →
dust2	7–13	-0.04	8%	28 Mar →
ancient	8–13	-0.07	11%	28 Mar →
nuke	6–13	-0.12	6%	28 Mar →
mirage	13–9	0.01	11%	28 Mar →
ancient	13–4	0.02	11%	28 Mar →
overpass	4–13	-0.08	14%	28 Mar →
anubis	8–13	-0.06	8%	28 Mar →
dust2	13–10	-0.05	18%	28 Mar →
vertigo	13–8	-0.05	8%	28 Mar →
mirage	12–12	-0.04	10%	28 Mar →
inferno	5–13	-0.05	9%	27 Mar →
nuke	12–12	-0.03	8%	27 Mar →
ancient	8–13	-0.06	7%	25 Mar →
mirage	13–8	0.07	17%	24 Mar →
anubis	11–13	-0.02	15%	24 Mar →
overpass	11–13	0.00	12%	22 Mar →
anubis	5–13	0.01	6%	22 Mar →
ancient	13–8	0.06	11%	21 Mar →
anubis	13–8	0.01	16%	21 Mar →
vertigo	5–13	0.00	16%	21 Mar →
inferno	12–12	0.07	10%	21 Mar →
dust2	3–13	-0.02	20%	20 Mar →
mirage	12–12	-0.01	22%	20 Mar →
ancient	13–5	-0.01	11%	20 Mar →
overpass	5–13	-0.04	9%	20 Mar →
inferno	6–13	-0.02	12%	20 Mar →
vertigo	13–11	0.03	18%	20 Mar →
dust2	9–13	0.01	15%	19 Mar →
mirage	13–6	-0.02	16%	19 Mar →
mirage	13–9	0.02	14%	19 Mar →
ancient	8–13	0.02	8%	19 Mar →
mirage	2–13	-0.05	20%	19 Mar →
dust2	4–13	0.01	38%	18 Mar →
dust2	13–7	0.00	21%	18 Mar →
inferno	13–1	0.00	18%	16 Mar →
mirage	9–13	-0.01	9%	16 Mar →
overpass	13–4	-0.08	10%	16 Mar →
dust2	13–6	-0.04	7%	16 Mar →
anubis	13–6	0.01	16%	16 Mar →
ancient	9–13	-0.07	8%	12 Mar →
anubis	5–13	-0.03	23%	12 Mar →
mirage	6–13	-0.05	20%	12 Mar →
overpass	8–13	-0.00	21%	12 Mar →
inferno	9–13	-0.05	11%	12 Mar →
overpass	6–13	-0.04	15%	12 Mar →
dust2	13–7	0.02	13%	11 Mar →
mirage	1–13	-0.06	5%	11 Mar →
overpass	6–13	-0.08	7%	11 Mar →
anubis	12–12	0.03	16%	11 Mar →
inferno	9–13	-0.02	5%	10 Mar →
nuke	6–13	-0.06	17%	6 Mar →
dust2	10–13	0.01	20%	6 Mar →
mirage	13–11	0.07	23%	3 Mar →
dust2	13–10	0.07	23%	3 Mar →
mirage	10–13	-0.04	17%	3 Mar →
train	13–8	0.10	12%	24 Feb →
mirage	13–5	0.06	10%	24 Feb →
inferno	12–12	0.06	15%	24 Feb →
ancient	1–9	-0.04	7%	23 Feb →
train	13–11	0.00	19%	22 Feb →
dust2	9–13	-0.03	13%	22 Feb →
nuke	13–5	0.08	20%	22 Feb →