Kired — CS2 Stats

DE76561198126403395[U:1:166137667]Steam profile ↗✓ No bans

1,726Tracked matches58%Win rate2020Tracked since

2,803Hours in CS

CSDB Rating5.7 SolidHybrid Rifler

Premier CS Rating22,738Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

CSDB Leaderboard#12629 of 54822 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=6,418), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Pink band median	Red band median	vs Red band
Headshot rate	50.0%	47.1%	50.0%	meets
Shot accuracy	16.0%	12.8%	13.5%	above
Kill/death ratio	1.09	1.08	1.13	0.04 short
Match win rate	49.7%	46.6%	48.4%	above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim62

Positioning52

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateWLLWWLLLLW

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

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

Aim6.2

Aggression7.2

Utility6.0

Positioning5.2

Opening Duels2.3

Clutch3.4

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 b1t 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Areas to improve

Reaction time. 583ms 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

Aim6.2

Positioning5.2

Utility6.0

Mechanics5.4

Opening Duels2.3

Win Impact7.6

Composite 5.7/10 (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 rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time580ms−30ms

first ⅓ avg 610ms → last ⅓ avg 580ms

Headshot accuracy15.3%−6.8%

first ⅓ avg 22.1% → last ⅓ avg 15.3%

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

0.20Best rating — inferno 13–1

13–1Biggest win — inferno

5Longest win streak

7–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

infernoBest map · 59% over 22dust2Weakest map · 41% over 22

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	33	15–18	45%	0.00
dust2	C	22	9–13	41%	0.00
inferno	A	22	13–9	59%	0.02
cache	C	18	8–10	44%	-0.00
anubis	—	2	1–1	50%	-0.01
ancient	—	1	1–0	100%	0.09
overpass	—	1	1–0	100%	0.04
nuke	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (41% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,007Lifetime kills

1.09K/D · Top 50% of Pink band

4,917Matches

49.7%Match win rate · Top 25% of Pink band

50.0%Headshot % · Top 50% of Pink band

16.0%Shot accuracy · Top 25% of Pink band

11,396MVPs

2,803Hours (in match)

3,322Bombs planted

1,220Bombs defused

Most-used weapons

AK-4741,364

M4A4 / M4A1-S21,632

AWP8,157

P2000 / USP-S7,204

Desert Eagle5,390

Glock-184,797

Negev2,549

P2502,235

MP92,027

MAC-101,991

Lifetime map wins

13,951inferno

11,657dust2

1,486nuke

1,360cbble

568train

326vertigo

184lake

83italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

652Matches

54%Win rate

1.07Avg K/D

80.9ADR

42%Headshot %

Clutches & streaks

37%1v1 clutch win

26%1v2 clutch win

12Longest win streak

Recent Faceit resultsWWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	84	55%	1.03	14.1
Dust2	58	50%	1.13	16.6
Inferno	45	51%	1.18	16.3
Ancient	33	64%	1.06	16.2
Anubis	16	19%	0.91	12.8
Nuke	14	64%	1.02	16.4
Overpass	8	62%	1.29	16.0
Vertigo	2	50%	0.88	18.0

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.

15.4%Headshot accuracy

31.4%Accuracy (enemy spotted)

37.8%Spray accuracy

74.5%Counter-strafing

8.6°Preaim

583msReaction time

35.8%T opening success

42.2%CT opening success

0.63Enemies flashed / flash

11.0%Flash assists

7.87HE damage / grenade

10.69Flashes / 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 35.8485% — below the 40% mark we flag

Spend your practice time on Dust 2

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

41% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–7	0.01	13%	16 Aug →
mirage	6–13	-0.03	7%	16 Aug →
anubis	6–13	-0.05	13%	16 Aug →
cache	13–6	0.02	18%	8 Aug →
ancient	13–8	0.09	20%	8 Aug →
mirage	7–13	0.01	6%	8 Aug →
mirage	4–13	0.00	21%	30 Jul →
cache	8–13	-0.05	20%	30 Jul →
inferno	2–13	-0.04	13%	30 Jul →
dust2	13–5	0.04	17%	30 Jul →
cache	12–12	0.00	12%	19 Jul →
cache	13–4	0.04	22%	19 Jul →
mirage	13–3	-0.02	0%	19 Jul →
dust2	13–11	0.01	19%	19 Jul →
mirage	13–5	0.08	17%	12 Jul →
dust2	7–13	-0.09	11%	12 Jul →
inferno	13–8	0.04	15%	12 Jul →
cache	13–2	0.07	9%	12 Jul →
inferno	11–13	-0.04	11%	5 Jul →
cache	12–12	-0.05	18%	5 Jul →
mirage	11–10	0.02	14%	5 Jul →
inferno	12–12	0.02	26%	28 Jun →
cache	12–12	0.05	21%	28 Jun →
mirage	6–13	0.03	23%	28 Jun →
inferno	13–5	0.01	13%	16 Jun →
mirage	8–13	0.05	10%	16 Jun →
cache	13–9	0.02	19%	16 Jun →
cache	8–13	-0.04	11%	25 May →
inferno	13–11	0.08	16%	25 May →
dust2	13–10	0.02	22%	25 May →
mirage	13–7	0.02	20%	22 May →
cache	13–11	0.05	14%	22 May →
inferno	2–13	-0.06	13%	22 May →
cache	13–8	0.05	22%	11 May →
cache	8–13	-0.02	10%	11 May →
cache	12–12	-0.02	29%	11 May →
cache	13–5	0.03	17%	3 May →
cache	13–8	-0.00	18%	3 May →
cache	7–13	-0.05	13%	29 Apr →
cache	12–12	-0.06	17%	29 Apr →
cache	7–13	-0.03	22%	29 Apr →
mirage	13–11	-0.01	16%	26 Apr →
dust2	8–13	-0.01	15%	26 Apr →
overpass	13–6	0.04	16%	26 Apr →
dust2	9–13	-0.01	24%	23 Apr →
inferno	13–9	0.02	23%	23 Apr →
mirage	13–9	0.08	12%	23 Apr →
anubis	13–10	0.02	16%	9 Apr →
mirage	13–9	0.00	10%	9 Apr →
dust2	13–4	0.13	28%	9 Apr →
mirage	11–13	0.02	20%	5 Apr →
dust2	13–7	0.05	23%	5 Apr →
inferno	13–4	0.04	19%	3 Apr →
mirage	13–7	0.03	16%	3 Apr →
mirage	5–13	-0.05	11%	10 Mar →
inferno	13–3	0.02	27%	10 Mar →
dust2	9–13	0.01	18%	10 Mar →
nuke	13–4	0.02	16%	8 Mar →
mirage	13–7	0.02	17%	8 Mar →
inferno	13–6	-0.02	18%	1 Mar →
dust2	11–13	0.02	21%	1 Mar →
mirage	6–13	-0.05	20%	1 Mar →
dust2	7–13	-0.06	32%	18 Feb →
inferno	13–7	0.00	33%	18 Feb →
mirage	10–13	0.02	15%	18 Feb →
mirage	13–7	-0.05	23%	18 Feb →
mirage	10–13	0.04	22%	10 Feb →
mirage	14–16	0.06	15%	10 Feb →
inferno	10–13	-0.01	21%	6 Feb →
dust2	3–13	-0.11	11%	6 Feb →
mirage	13–8	0.02	12%	6 Feb →
dust2	11–13	0.00	31%	24 Jan →
mirage	3–13	-0.08	15%	24 Jan →
inferno	1–13	0.02	21%	24 Jan →
inferno	13–11	0.05	21%	30 Dec →
dust2	13–6	0.02	33%	30 Dec →
mirage	10–13	-0.06	18%	30 Dec →
mirage	7–13	-0.02	23%	28 Dec →
mirage	9–13	-0.02	13%	28 Dec →
inferno	12–12	0.02	34%	28 Dec →
dust2	10–13	-0.02	22%	28 Dec →
inferno	13–7	0.08	35%	26 Dec →
mirage	7–4	0.02	24%	26 Dec →
dust2	12–12	-0.01	22%	26 Dec →
mirage	13–9	0.03	18%	23 Dec →
dust2	13–6	0.05	23%	23 Dec →
inferno	13–11	0.03	25%	23 Dec →
dust2	10–13	-0.03	27%	17 Dec →
inferno	7–13	0.01	23%	17 Dec →
mirage	7–13	0.02	23%	17 Dec →
dust2	13–10	0.05	19%	17 Dec →
inferno	6–13	0.03	23%	15 Dec →
dust2	5–13	-0.03	18%	15 Dec →
mirage	11–13	0.04	17%	15 Dec →
mirage	10–13	0.06	16%	9 Dec →
inferno	13–10	0.04	29%	9 Dec →
dust2	11–13	0.02	25%	9 Dec →
mirage	13–9	-0.09	27%	9 Dec →
mirage	13–6	-0.06	25%	2 Dec →
inferno	13–1	0.20	21%	2 Dec →