K.O.D.Y.Blu — CS2 Stats

76561198756940296[U:1:796674568]Steam profile ↗

353Tracked matches43%Win rate2025Tracked since

CSDB Rating3.3 Learning

Premier CS Rating4,139Grey band · top ~82.4% of ranked players (population est.)

CSDB Leaderboard#9758 of 12807 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning29

Utility22

0–100 skill scores via Leetify.

Recent form

STEADY55–40–5Last 10055%Win rateLTWWWWLLLW

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

Player DNA

Aim4.6

Aggression1.0

Utility2.2

Positioning2.9

Opening Duels0.0

Clutch1.4

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 64% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 665ms 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

Aim4.6

Positioning2.9

Utility2.2

Mechanics7.4

Opening Duels0.0

Win Impact2.6

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.02

first ⅓ avg -0.03 → last ⅓ avg -0.05

Reaction time667ms+42ms

first ⅓ avg 625ms → last ⅓ avg 667ms

Headshot accuracy12.0%+1.2%

first ⅓ avg 10.8% → last ⅓ avg 12.0%

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

0.07Best rating — cache 13–2

13–1Biggest win — dust2

7Longest win streak

8–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

mirageBest map · 74% over 19anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	31	17–14	55%	-0.04
mirage	S	19	14–5	74%	-0.05
cache	C	11	4–7	36%	-0.01
inferno	B	10	5–5	50%	-0.06
ancient	C	7	3–4	43%	-0.06
overpass	A	7	4–3	57%	-0.03
anubis	D	6	2–4	33%	-0.05
nuke	S	6	4–2	67%	-0.05
train	—	3	2–1	67%	-0.04

Across the last 100 tracked matches.

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

Faceit stats

Combat

60Matches

43%Win rate

0.59Avg K/D

48.8ADR

38%Headshot %

Clutches & streaks

27%1v1 clutch win

11%1v2 clutch win

5Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	17	41%	0.62	8.3
Mirage	11	45%	0.39	6.5
Ancient	10	20%	0.49	9.1
Inferno	7	43%	0.97	10.7
Anubis	7	57%	0.49	7.4
Nuke	4	50%	0.64	9.5
Cache	3	100%	0.73	11.3
Overpass	1	0%	0.76	13.0

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.

12.3%Headshot accuracy

31.6%Accuracy (enemy spotted)

34.3%Spray accuracy

83.4%Counter-strafing

11.2°Preaim

665msReaction time

14.6%T opening success

29.4%CT opening success

0.34Enemies flashed / flash

1.5%Flash assists

3.98HE damage / grenade

4.61Flashes / 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 12.3381% — 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 0.3354 — 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 14.6225% — 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.

33% win rate across 6 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	10–13	-0.07	15%	17 Jul →
anubis	12–12	-0.06	5%	9 Jul →
mirage	13–11	-0.05	14%	9 Jul →
cache	13–10	0.04	7%	6 Jul →
nuke	13–9	-0.09	23%	4 Jul →
inferno	13–3	-0.05	16%	4 Jul →
ancient	11–13	-0.06	2%	4 Jul →
overpass	5–13	-0.04	8%	1 Jul →
anubis	9–13	-0.06	12%	29 Jun →
overpass	13–7	-0.01	10%	29 Jun →
dust2	13–11	-0.06	9%	29 Jun →
cache	11–13	-0.05	16%	27 Jun →
dust2	11–13	-0.05	11%	27 Jun →
ancient	13–11	-0.06	5%	27 Jun →
anubis	13–8	-0.08	6%	26 Jun →
nuke	13–4	-0.00	27%	26 Jun →
mirage	3–13	-0.12	22%	26 Jun →
ancient	8–13	-0.09	8%	26 Jun →
overpass	10–13	-0.03	8%	26 Jun →
dust2	6–13	-0.06	16%	26 Jun →
dust2	10–13	-0.10	12%	26 Jun →
mirage	5–13	-0.03	14%	25 Jun →
inferno	8–13	-0.04	7%	25 Jun →
anubis	12–12	-0.05	26%	24 Jun →
mirage	6–13	-0.06	16%	24 Jun →
overpass	13–6	0.03	6%	24 Jun →
inferno	7–13	-0.09	17%	23 Jun →
mirage	10–1	-0.04	17%	23 Jun →
inferno	14–16	-0.06	15%	20 Jun →
ancient	13–9	-0.06	11%	20 Jun →
overpass	2–13	-0.11	0%	20 Jun →
nuke	13–8	-0.06	8%	20 Jun →
cache	6–13	0.00	11%	20 Jun →
dust2	13–1	-0.07	0%	20 Jun →
nuke	13–4	-0.04	3%	20 Jun →
nuke	12–12	-0.06	6%	19 Jun →
ancient	3–13	-0.08	14%	19 Jun →
anubis	12–12	-0.09	9%	19 Jun →
dust2	2–13	-0.06	6%	15 Jun →
mirage	13–9	0.03	6%	8 Jun →
overpass	13–11	-0.03	6%	3 Jun →
dust2	8–13	-0.06	23%	3 Jun →
dust2	13–3	-0.01	0%	3 Jun →
mirage	13–9	-0.07	10%	3 Jun →
inferno	13–4	-0.01	8%	3 Jun →
mirage	13–8	-0.10	4%	2 Jun →
dust2	13–8	-0.03	14%	2 Jun →
dust2	13–1	0.05	18%	2 Jun →
mirage	13–11	-0.04	7%	2 Jun →
dust2	11–13	-0.05	5%	2 Jun →
train	8–13	-0.06	11%	2 Jun →
mirage	13–11	-0.07	16%	1 Jun →
dust2	13–2	-0.03	27%	1 Jun →
inferno	12–12	-0.04	6%	1 Jun →
cache	8–13	-0.01	6%	31 May →
inferno	13–6	-0.08	3%	31 May →
cache	3–13	-0.04	9%	31 May →
dust2	8–13	-0.09	6%	31 May →
cache	13–6	0.01	11%	31 May →
dust2	11–13	-0.09	20%	31 May →
dust2	13–7	-0.04	5%	29 May →
dust2	13–6	-0.04	6%	29 May →
mirage	13–1	-0.02	11%	29 May →
mirage	13–11	-0.03	6%	29 May →
mirage	2–8	-0.10	0%	29 May →
mirage	13–7	-0.05	15%	28 May →
dust2	13–8	-0.02	14%	28 May →
train	13–5	-0.03	9%	28 May →
mirage	13–4	-0.08	6%	28 May →
inferno	13–2	-0.06	12%	24 May →
mirage	13–1	-0.05	11%	24 May →
dust2	11–13	-0.08	15%	24 May →
cache	5–13	-0.06	5%	24 May →
dust2	13–6	-0.08	7%	23 May →
dust2	13–5	-0.04	5%	23 May →
dust2	13–2	-0.01	8%	23 May →
dust2	13–11	-0.02	12%	23 May →
dust2	13–3	-0.07	18%	23 May →
cache	3–13	-0.04	6%	23 May →
dust2	10–13	-0.00	10%	21 May →
mirage	13–6	-0.01	12%	21 May →
anubis	13–9	0.03	12%	19 May →
cache	13–4	-0.01	29%	19 May →
dust2	5–13	-0.04	13%	19 May →
inferno	4–8	-0.11	5%	19 May →
dust2	8–13	-0.06	9%	19 May →
overpass	13–2	-0.01	9%	14 May →
mirage	13–3	0.00	10%	14 May →
train	13–10	-0.02	15%	14 May →
inferno	13–6	-0.08	0%	14 May →
dust2	13–6	0.02	21%	14 May →
ancient	9–13	-0.06	16%	14 May →
nuke	1–13	-0.06	14%	14 May →
dust2	4–13	-0.05	4%	11 May →
ancient	13–2	-0.04	19%	9 May →
dust2	13–1	0.05	18%	9 May →
mirage	9–13	-0.06	0%	9 May →
cache	13–2	0.07	8%	9 May →
cache	7–13	-0.07	10%	8 May →
dust2	13–5	-0.01	11%	8 May →