KYRO — CS2 Stats

MV76561198085339210[U:1:125073482]Steam profile ↗

1,604Tracked matches69%Win rate2020Tracked since

CSDB Rating5.2 DevelopingPassive Rifler

Premier CS Rating27,340Top 10% of 819 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)

CSDB Leaderboard#545 of 12001 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning36

Utility28

0–100 skill scores via Leetify.

Recent form

STEADY65–29–6Last 10065%Win rateWWLWLLWLLL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

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

Aim6.6

Aggression1.4

Utility2.8

Positioning3.6

Opening Duels0.0

Clutch2.6

Limited utility dependence

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 72% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 578ms 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

Aim6.6

Positioning3.6

Utility2.8

Mechanics5.3

Opening Duels0.0

Win Impact10.0

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02

first ⅓ avg 0.01 → last ⅓ avg -0.01

Reaction time569ms−62ms

first ⅓ avg 630ms → last ⅓ avg 569ms

Headshot accuracy22.8%−2.1%

first ⅓ avg 24.9% → last ⅓ avg 22.8%

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

0.14Best rating — cache 13–3

13–0Biggest win — nuke

9Longest win streak

W2Current streak

4–5In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 79% over 14ancientWeakest map · 48% over 21

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	21	10–11	48%	-0.01
mirage	S	17	12–5	71%	0.00
dust2	A	17	10–7	59%	-0.00
nuke	S	14	11–3	79%	-0.01
cache	S	14	10–4	71%	0.02
anubis	S	6	4–2	67%	-0.01
inferno	B	6	3–3	50%	-0.04
overpass	—	3	3–0	100%	-0.01
office	—	2	2–0	100%	-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (48% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,888Matches

50%Win rate

1.05Avg K/D

59.3ADR

46%Headshot %

Clutches & streaks

33%1v1 clutch win

33%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	44	41%	1.06	15.3
Anubis	28	50%	0.86	14.1
Ancient	23	52%	0.86	14.3
Vertigo	17	53%	1.08	15.2
Inferno	14	21%	0.71	12.6
Overpass	11	64%	0.90	15.2
Nuke	10	40%	0.88	13.2
Dust2	6	50%	0.86	13.8

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.

22.6%Headshot accuracy

31.7%Accuracy (enemy spotted)

39.0%Spray accuracy

73.8%Counter-strafing

10.8°Preaim

578msReaction time

20.5%T opening success

25.7%CT opening success

0.49Enemies flashed / flash

3.4%Flash assists

2.08HE damage / grenade

4.19Flashes / 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.

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 0.4881 — 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 20.4802% — below the 40% mark we flag

Spend your practice time on Ancient

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

48% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	13–10	-0.03	17%	28 Aug →
nuke	13–4	-0.04	16%	26 Aug →
ancient	3–13	-0.06	23%	26 Aug →
nuke	13–9	-0.00	13%	25 Aug →
nuke	9–13	-0.04	13%	22 Aug →
ancient	8–13	-0.05	16%	17 Aug →
mirage	13–7	-0.00	21%	16 Aug →
dust2	2–13	-0.11	0%	15 Aug →
mirage	6–13	0.00	32%	15 Aug →
mirage	14–16	0.01	31%	12 Aug →
anubis	13–10	0.02	18%	12 Aug →
cache	13–11	-0.02	30%	10 Aug →
ancient	8–13	-0.01	4%	7 Aug →
ancient	13–10	-0.00	30%	5 Aug →
mirage	11–1	0.07	53%	5 Aug →
cache	11–13	-0.05	20%	2 Aug →
nuke	13–7	-0.03	22%	31 Jul →
mirage	8–1	-0.01	43%	31 Jul →
nuke	13–0	0.00	0%	26 Jul →
ancient	13–1	0.03	22%	26 Jul →
cache	13–8	-0.04	29%	25 Jul →
mirage	16–14	0.00	26%	25 Jul →
cache	13–3	0.02	20%	17 Jul →
cache	13–8	-0.00	27%	16 Jul →
nuke	13–9	-0.04	26%	16 Jul →
ancient	4–13	-0.04	38%	16 Jul →
ancient	13–5	0.03	20%	12 Jul →
inferno	12–12	-0.04	24%	11 Jul →
cache	13–0	0.13	19%	11 Jul →
ancient	13–7	0.04	31%	7 Jul →
nuke	13–10	0.02	22%	2 Jul →
dust2	4–13	-0.05	14%	2 Jul →
ancient	12–12	-0.02	31%	1 Jul →
inferno	12–12	-0.09	15%	21 Jun →
ancient	13–1	0.05	42%	21 Jun →
cache	13–0	0.04	50%	20 Jun →
cache	13–3	0.14	37%	17 Jun →
ancient	10–13	0.02	19%	17 Jun →
dust2	13–5	0.00	31%	17 Jun →
anubis	7–13	-0.01	32%	17 Jun →
inferno	9–13	-0.07	20%	9 Jun →
ancient	13–5	0.01	17%	9 Jun →
dust2	13–10	0.05	19%	5 Jun →
ancient	11–13	-0.06	22%	27 May →
cache	13–4	-0.02	26%	27 May →
anubis	6–2	-0.01	33%	27 May →
ancient	12–12	-0.02	22%	26 May →
anubis	13–2	0.00	35%	26 May →
cache	13–3	0.02	20%	25 May →
dust2	13–6	0.06	29%	25 May →
office	13–10	-0.06	11%	19 May →
office	13–10	-0.01	27%	19 May →
nuke	13–9	-0.03	23%	9 May →
cache	12–12	0.03	26%	9 May →
dust2	5–13	-0.12	23%	9 May →
cache	12–12	0.05	26%	1 May →
cache	8–13	-0.00	38%	30 Apr →
cache	13–8	-0.07	29%	30 Apr →
overpass	13–11	-0.04	17%	23 Apr →
dust2	7–1	0.00	43%	21 Apr →
anubis	13–9	-0.02	22%	20 Apr →
mirage	13–10	-0.07	20%	20 Apr →
dust2	13–7	-0.04	58%	19 Apr →
ancient	4–13	-0.04	24%	19 Apr →
inferno	13–6	0.05	33%	7 Apr →
inferno	13–4	0.00	15%	6 Apr →
dust2	10–13	-0.02	23%	6 Apr →
mirage	13–3	0.05	16%	5 Apr →
ancient	13–3	0.02	12%	5 Apr →
dust2	8–13	0.03	30%	25 Mar →
dust2	13–10	0.01	28%	20 Mar →
anubis	6–13	-0.03	19%	20 Mar →
overpass	13–0	0.04	44%	20 Mar →
dust2	3–0	0.00	17%	20 Mar →
mirage	2–9	0.08	25%	14 Mar →
nuke	13–0	0.04	17%	13 Mar →
ancient	13–10	-0.06	24%	13 Mar →
dust2	10–13	0.00	30%	13 Mar →
dust2	8–13	-0.01	17%	13 Mar →
ancient	5–13	-0.01	24%	4 Mar →
nuke	13–2	0.07	22%	4 Mar →
mirage	10–13	-0.04	19%	1 Mar →
mirage	13–7	-0.02	15%	27 Feb →
nuke	10–13	0.01	28%	16 Feb →
nuke	13–7	0.00	33%	15 Feb →
mirage	13–7	-0.01	32%	15 Feb →
ancient	13–3	0.06	30%	14 Feb →
dust2	13–9	0.04	31%	14 Feb →
ancient	13–6	-0.01	22%	14 Feb →
nuke	13–4	-0.02	27%	13 Feb →
nuke	12–16	-0.00	17%	12 Feb →
mirage	11–13	-0.02	28%	11 Feb →
inferno	16–14	-0.07	26%	10 Feb →
mirage	13–4	-0.02	32%	10 Feb →
overpass	13–7	-0.04	26%	8 Feb →
dust2	13–7	-0.01	20%	7 Feb →
dust2	13–2	0.08	28%	6 Feb →
mirage	13–3	0.01	29%	6 Feb →
ancient	11–13	-0.01	26%	5 Feb →
mirage	13–1	0.01	30%	4 Feb →