Raggea Kirk — CS2 Stats

76561198194747205[U:1:234481477]Steam profile ↗

438Tracked matches43%Win rate2022Tracked since

CSDB Rating5.3 DevelopingClutch Specialist

Premier CS Rating22,758Top 50% of 17,162 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim68

Positioning40

Utility48

0–100 skill scores via Leetify.

Recent form

COLD49–50–1Last 10049%Win rateLWWWLLLLLL

Last 10 vs previous 10: -30pp win rate · +0.03 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim6.8

Aggression4.4

Utility4.8

Positioning4.0

Opening Duels1.8

Clutch9.4

Reliable in 1v1s

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 87% 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

Reaction time. 702ms 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

Aim6.8

Positioning4.0

Utility4.8

Mechanics7.9

Opening Duels1.8

Win Impact2.8

Composite 5.3/10 (Developing), 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 rating-0.03−0.03

first ⅓ avg -0.00 → last ⅓ avg -0.03

Reaction time689ms−3ms

first ⅓ avg 692ms → last ⅓ avg 689ms

Headshot accuracy20.3%−0.2%

first ⅓ avg 20.5% → last ⅓ avg 20.3%

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

0.13Best rating — cache 2–0

13–1Biggest win — inferno

5Longest win streak

6–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

overpassBest map · 75% over 8mirageWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	20	12–8	60%	-0.00
mirage	D	15	4–11	27%	-0.05
dust2	C	14	6–8	43%	-0.01
ancient	A	14	8–6	57%	-0.01
cache	B	12	6–6	50%	-0.03
anubis	D	10	3–7	30%	-0.02
overpass	S	8	6–2	75%	0.02
nuke	—	4	4–0	100%	-0.00
vertigo	—	1	0–1	0%	-0.04
boulder	—	1	0–1	0%	0.04
fachwerk	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

6Matches

50%Win rate

1.09Avg K/D

87.5ADR

41%Headshot %

Clutches & streaks

67%1v1 clutch win

100%1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	2	100%	0.86	12.0
Ancient	2	0%	1.25	22.5
Overpass	1	100%	1.38	22.0
Mirage	1	0%	0.94	17.0

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.

20.9%Headshot accuracy

35.9%Accuracy (enemy spotted)

34.9%Spray accuracy

85.5%Counter-strafing

9.7°Preaim

702msReaction time

32.2%T opening success

41.9%CT opening success

0.50Enemies flashed / flash

5.1%Flash assists

10.04HE damage / grenade

6.48Flashes / 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 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 702.2733ms — above the 700ms 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 0.4951 — 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 32.2082% — below the 40% mark we flag

Spend your practice time on Mirage

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

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	8–13	-0.01	24%	23 Aug →
cache	16–12	-0.04	10%	18 Aug →
dust2	13–5	-0.02	18%	18 Aug →
overpass	13–5	0.08	20%	16 Aug →
vertigo	11–13	-0.04	12%	16 Aug →
boulder	6–13	0.04	24%	12 Aug →
mirage	3–13	-0.04	28%	12 Aug →
mirage	4–13	-0.07	23%	12 Aug →
cache	10–13	-0.05	20%	11 Aug →
anubis	8–13	-0.03	10%	11 Aug →
ancient	13–11	-0.07	13%	11 Aug →
mirage	13–5	-0.12	17%	11 Aug →
cache	11–13	-0.07	31%	11 Aug →
mirage	13–8	-0.09	19%	11 Aug →
fachwerk	2–13	0.03	24%	11 Aug →
inferno	13–9	-0.01	12%	11 Aug →
nuke	13–7	-0.03	24%	11 Aug →
cache	6–13	-0.08	24%	10 Aug →
ancient	5–13	-0.05	22%	10 Aug →
inferno	13–8	-0.00	31%	10 Aug →
inferno	16–12	-0.03	28%	8 Aug →
dust2	13–2	-0.05	38%	8 Aug →
mirage	7–13	-0.07	9%	4 Aug →
mirage	13–10	-0.02	16%	4 Aug →
mirage	1–8	-0.12	0%	3 Aug →
dust2	16–12	0.01	43%	3 Aug →
cache	2–13	-0.05	9%	3 Aug →
inferno	2–13	-0.06	16%	2 Aug →
mirage	11–13	-0.04	16%	2 Aug →
inferno	4–13	0.06	38%	2 Aug →
inferno	13–10	-0.03	21%	2 Aug →
ancient	13–4	0.00	22%	2 Aug →
mirage	6–13	-0.03	9%	2 Aug →
cache	12–16	-0.00	15%	2 Aug →
nuke	13–2	-0.00	5%	2 Aug →
anubis	7–13	-0.02	17%	2 Aug →
anubis	13–16	-0.05	11%	1 Aug →
ancient	13–11	-0.02	17%	1 Aug →
cache	13–9	-0.01	11%	31 Jul →
anubis	13–9	0.01	26%	31 Jul →
cache	2–0	0.13	20%	31 Jul →
ancient	13–7	-0.04	15%	30 Jul →
dust2	4–13	-0.10	19%	30 Jul →
inferno	13–1	0.10	18%	30 Jul →
inferno	13–9	0.02	28%	30 Jul →
anubis	13–7	-0.04	17%	16 Jun →
inferno	13–7	0.05	17%	16 Jun →
dust2	12–16	-0.01	31%	15 Jun →
inferno	16–13	-0.03	8%	5 May →
cache	13–5	-0.07	21%	3 May →
cache	13–11	-0.09	12%	30 Apr →
cache	13–8	0.02	31%	30 Apr →
overpass	7–13	0.02	38%	26 Apr →
overpass	13–10	-0.01	16%	23 Apr →
ancient	13–9	0.01	13%	23 Apr →
mirage	5–13	-0.04	18%	10 Apr →
inferno	13–11	-0.02	21%	10 Apr →
ancient	0–7	-0.09	22%	10 Apr →
inferno	5–13	-0.03	21%	7 Apr →
dust2	10–13	0.03	33%	27 Mar →
overpass	13–2	0.06	21%	26 Mar →
ancient	11–13	-0.06	23%	25 Mar →
anubis	16–13	0.01	19%	25 Mar →
mirage	4–13	-0.05	24%	24 Mar →
ancient	11–13	-0.01	22%	23 Mar →
inferno	13–5	0.02	18%	23 Mar →
ancient	10–13	0.00	18%	23 Mar →
ancient	6–13	0.04	13%	23 Mar →
ancient	13–3	0.07	22%	22 Mar →
nuke	13–10	0.06	29%	22 Mar →
dust2	11–13	-0.04	30%	22 Mar →
dust2	13–7	-0.08	15%	22 Mar →
inferno	6–13	0.01	26%	21 Mar →
overpass	13–6	0.01	16%	21 Mar →
mirage	15–15	-0.03	12%	21 Mar →
dust2	5–13	-0.00	33%	21 Mar →
mirage	16–12	-0.00	22%	20 Mar →
inferno	4–13	-0.01	18%	19 Mar →
anubis	3–13	-0.08	6%	19 Mar →
dust2	9–13	-0.03	12%	19 Mar →
mirage	5–13	-0.00	19%	18 Mar →
dust2	13–5	0.10	15%	18 Mar →
nuke	13–9	-0.04	15%	18 Mar →
dust2	13–3	0.02	41%	18 Mar →
inferno	13–6	-0.01	11%	18 Mar →
overpass	13–6	-0.03	16%	17 Mar →
overpass	11–13	-0.08	12%	17 Mar →
inferno	13–11	-0.03	29%	16 Mar →
dust2	6–13	-0.03	30%	16 Mar →
dust2	4–13	0.07	23%	15 Mar →
anubis	7–13	0.04	32%	15 Mar →
inferno	13–16	0.03	24%	14 Mar →
overpass	13–5	0.08	19%	14 Mar →
mirage	4–13	-0.06	22%	14 Mar →
ancient	13–7	-0.00	17%	5 Mar →
ancient	13–8	0.06	11%	2 Mar →
inferno	6–13	-0.05	22%	2 Mar →
anubis	4–12	-0.03	23%	2 Feb →
anubis	12–16	-0.04	18%	1 Feb →
inferno	4–13	0.01	27%	1 Feb →