KRA — CS2 Stats

76561198359279738[U:1:399014010]✓ No bans

2,821Tracked matches33%Win rate2020Tracked since

CSDB Rating6.0 SolidEntry Fragger

FaceitLevel 10 · 2,650 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

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Performance scores

Aim66

Positioning68

Utility66

0–100 skill scores via Leetify.

Recent form

COLD41–57–2Last 10041%Win rateWLLLLLLWLW

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

Player DNA

Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.

Aim6.6

Aggression10.0

Utility6.6

Positioning6.8

Opening Duels6.1

Clutch3.4

Strong CT-side opener

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 s1mple 90% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 63% on CT to 45% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Positioning6.8

Utility6.6

Mechanics6.2

Opening Duels6.1

Win Impact0.0

Composite 6.0/10 (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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time626ms+8ms

first ⅓ avg 618ms → last ⅓ avg 626ms

Headshot accuracy24.4%−1.7%

first ⅓ avg 26.1% → last ⅓ avg 24.4%

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

0.27Best rating — nuke 13–9

13–1Biggest win — inferno

5Longest win streak

5–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

trainBest map · 60% over 5dust2Weakest map · 25% over 12

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	18	10–8	56%	0.03
ancient	D	18	6–12	33%	0.00
nuke	C	16	7–9	44%	0.04
inferno	B	13	6–7	46%	0.03
dust2	D	12	3–9	25%	0.01
anubis	C	11	4–7	36%	0.02
overpass	C	5	2–3	40%	0.03
train	A	5	3–2	60%	-0.00
agency	—	2	0–2	0%	-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,782Matches

51%Win rate

1.13Avg K/D

77.8ADR

48%Headshot %

Clutches & streaks

37%1v1 clutch win

21%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	426	52%	1.10	16.2
Anubis	251	51%	1.08	16.0
Ancient	215	45%	1.04	15.8
Nuke	137	51%	1.09	15.5
Dust2	122	46%	1.07	15.9
Inferno	98	58%	1.15	15.6
Vertigo	61	57%	1.16	15.9
Train	51	55%	1.18	17.3

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.

24.9%Headshot accuracy

33.3%Accuracy (enemy spotted)

37.1%Spray accuracy

77.8%Counter-strafing

12.0°Preaim

617msReaction time

45.3%T opening success

63.4%CT opening success

0.69Enemies flashed / flash

13.6%Flash assists

10.03HE damage / grenade

10.00Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.0449° — above the 12° mark we flag
Aim Training →

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.

25% win rate across 12 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
nuke	13–6	0.08	43%	20 Mar →
inferno	3–13	-0.01	24%	15 Feb →
anubis	7–13	0.06	12%	6 Feb →
dust2	8–13	-0.01	12%	28 Jan →
nuke	2–13	-0.06	17%	19 Jan →
anubis	7–13	-0.04	23%	18 Jan →
inferno	3–13	0.08	46%	13 Jan →
overpass	13–5	0.04	21%	8 Jan →
mirage	10–13	-0.01	23%	4 Jan →
dust2	13–9	-0.00	30%	4 Jan →
train	5–13	-0.02	32%	26 Dec →
mirage	13–16	-0.00	18%	20 Dec →
dust2	9–13	-0.06	7%	13 Dec →
mirage	12–16	0.08	38%	7 Dec →
dust2	9–13	0.02	26%	5 Dec →
inferno	5–13	0.09	23%	5 Dec →
ancient	11–13	0.01	28%	26 Nov →
ancient	13–11	0.07	34%	25 Nov →
ancient	13–4	-0.01	50%	23 Nov →
dust2	6–13	-0.05	20%	18 Nov →
nuke	13–7	0.06	26%	18 Nov →
overpass	9–13	0.01	18%	11 Nov →
mirage	13–6	0.06	19%	10 Nov →
mirage	13–10	0.05	22%	10 Nov →
ancient	9–13	-0.04	12%	7 Nov →
overpass	9–13	0.04	23%	1 Nov →
train	13–16	0.01	25%	1 Nov →
nuke	13–10	0.01	28%	1 Nov →
nuke	13–10	0.08	31%	26 Oct →
overpass	10–13	0.01	22%	21 Oct →
dust2	13–7	0.05	12%	21 Oct →
inferno	13–11	0.01	22%	19 Oct →
mirage	19–16	-0.00	20%	18 Oct →
mirage	8–13	-0.04	25%	15 Oct →
mirage	13–6	-0.00	12%	5 Oct →
mirage	13–11	-0.09	19%	5 Oct →
ancient	11–13	-0.01	29%	1 Oct →
mirage	13–4	0.15	34%	1 Oct →
nuke	5–12	-0.07	13%	1 Oct →
train	13–7	0.07	20%	26 Sept →
ancient	3–13	-0.02	13%	23 Sept →
dust2	8–13	-0.03	26%	21 Sept →
ancient	10–13	-0.03	23%	21 Sept →
ancient	5–13	-0.04	29%	20 Sept →
ancient	13–9	-0.03	23%	19 Sept →
ancient	13–10	0.02	18%	14 Sept →
ancient	1–13	-0.02	15%	7 Sept →
mirage	8–13	-0.02	29%	28 Aug →
anubis	13–10	-0.02	56%	26 Aug →
inferno	13–9	0.00	23%	22 Aug →
mirage	2–13	0.09	27%	20 Jul →
inferno	4–13	0.19	26%	19 Jul →
inferno	3–13	-0.14	33%	9 Jul →
anubis	13–11	0.09	35%	5 Jul →
dust2	13–3	-0.01	28%	4 Jul →
inferno	9–13	0.09	22%	3 Jul →
ancient	10–13	-0.04	23%	3 Jul →
ancient	4–13	0.09	25%	3 Jul →
nuke	5–13	0.07	32%	30 Jun →
dust2	7–13	0.02	25%	26 Jun →
nuke	13–9	0.27	44%	25 Jun →
mirage	13–8	-0.03	31%	24 Jun →
inferno	8–2	0.06	67%	24 Jun →
mirage	13–10	0.03	31%	23 Jun →
inferno	13–9	0.10	58%	15 Jun →
dust2	5–13	0.09	26%	8 Jun →
mirage	13–8	0.19	36%	2 Jun →
dust2	9–13	0.00	42%	29 May →
nuke	13–7	0.22	36%	28 May →
mirage	8–13	0.08	37%	28 May →
agency	12–12	-0.02	22%	26 May →
inferno	2–9	-0.06	47%	23 May →
agency	12–12	-0.04	12%	12 May →
dust2	11–13	0.07	27%	8 May →
anubis	11–13	0.04	36%	5 May →
anubis	9–13	-0.03	28%	25 Apr →
nuke	11–13	0.03	31%	23 Apr →
inferno	13–1	0.08	31%	2 Apr →
anubis	0–10	-0.08	25%	29 Mar →
mirage	13–10	-0.03	19%	22 Mar →
ancient	13–10	0.04	19%	21 Mar →
nuke	8–13	-0.03	39%	19 Mar →
ancient	9–13	-0.05	19%	17 Mar →
overpass	13–10	0.05	43%	12 Mar →
anubis	13–8	0.04	35%	10 Mar →
ancient	13–7	0.12	17%	9 Mar →
train	16–14	-0.07	22%	9 Mar →
mirage	8–13	0.09	21%	6 Mar →
nuke	13–16	-0.05	12%	4 Mar →
ancient	9–13	-0.07	22%	1 Mar →
anubis	6–13	0.02	25%	26 Feb →
ancient	18–22	0.01	19%	26 Feb →
inferno	13–7	-0.04	32%	26 Feb →
anubis	13–7	0.07	16%	25 Feb →
nuke	7–13	-0.00	17%	25 Feb →
nuke	8–13	-0.00	23%	24 Feb →
anubis	11–13	0.01	14%	23 Feb →
nuke	10–13	-0.04	18%	23 Feb →
train	31–28	-0.00	23%	21 Feb →
nuke	13–7	0.03	34%	20 Feb →