KRyZ_ — CS2 Stats

76561197975253314[U:1:14987586]

2,605Tracked matches48%Win rate2020Tracked since

3,914Hours in CS

CSDB Rating6.4 SolidAggressive Rifler

Premier CS Rating21,915Top 50% of 29,473 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)

CSDB Leaderboard#11207 of 39152 tracked

FaceitLevel 8 · 2,084 ELOTop 31.2% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,966), 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	Level 8 median	Level 9 median	vs Level 9
Headshot rate	43.3%	47.0%	48.5%	5.3% short
Shot accuracy	12.2%	12.7%	13.3%	1.1% short
Kill/death ratio	0.94	1.07	1.07	0.14 short
Match win rate	65.2%	46.4%	47.0%	above

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim83

Positioning56

Utility70

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateLWWWLLLWWL

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim8.3

Aggression8.9

Utility7.0

Positioning5.6

Opening Duels3.8

Clutch2.8

Effective flashes

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 jL 94% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.3

Positioning5.6

Utility7.0

Mechanics5.4

Opening Duels3.8

Win Impact4.4

Composite 6.4/10 (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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time539ms−64ms

first ⅓ avg 603ms → last ⅓ avg 539ms

Headshot accuracy21.4%−1.7%

first ⅓ avg 23.1% → last ⅓ avg 21.4%

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

0.11Best rating — dust2 13–5

13–0Biggest win — inferno

4Longest win streak

7–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

cacheBest map · 53% over 19infernoWeakest map · 40% over 10

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	48	24–24	50%	0.01
cache	B	19	10–9	53%	0.01
inferno	C	10	4–6	40%	-0.02
mirage	B	8	4–4	50%	-0.02
anubis	B	8	4–4	50%	-0.01
ancient	C	5	2–3	40%	-0.01
nuke	—	2	1–1	50%	0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

163,190Lifetime kills

0.94K/D

13,695Matches

65.2%Match win rate · Top 5% of Level 8 players

43.3%Headshot %

12.2%Shot accuracy

18,465MVPs

3,914Hours (in match)

11,452Bombs planted

2,033Bombs defused

Most-used weapons

AK-4749,117

M4A4 / M4A1-S28,573

AWP23,465

Desert Eagle16,348

P2000 / USP-S7,732

Glock-186,625

Five-SeveN3,367

P2502,618

Tec-92,547

P902,386

Lifetime map wins

33,467dust2

11,444inferno

2,238nuke

1,167vertigo

1,015train

787cbble

270office

122safehouse

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

Faceit stats

Combat

1,489Matches

52%Win rate

0.98Avg K/D

73.8ADR

46%Headshot %

Clutches & streaks

34%1v1 clutch win

19%1v2 clutch win

10Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	323	58%	0.99	14.9
Mirage	216	47%	0.92	14.6
Inferno	153	50%	0.95	14.0
Anubis	130	47%	1.00	15.2
Ancient	102	51%	0.95	14.2
Nuke	31	45%	0.82	13.1
Cache	28	46%	1.10	16.4
Overpass	24	62%	0.94	16.3

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.

21.5%Headshot accuracy

35.5%Accuracy (enemy spotted)

38.3%Spray accuracy

74.2%Counter-strafing

6.9°Preaim

526msReaction time

39.8%T opening success

50.4%CT opening success

0.74Enemies flashed / flash

7.8%Flash assists

12.27HE damage / grenade

9.05Flashes / 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 39.7765% — below the 40% mark we flag

Spend your practice time on Inferno

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	14–16	0.05	47%	27 Aug →
ancient	16–14	-0.02	19%	25 Aug →
cache	13–6	0.05	11%	25 Aug →
nuke	13–1	0.10	17%	25 Aug →
cache	8–13	0.02	13%	24 Aug →
dust2	9–13	-0.01	22%	23 Aug →
dust2	5–13	-0.03	33%	20 Aug →
inferno	13–0	0.10	30%	20 Aug →
mirage	13–11	-0.04	30%	20 Aug →
inferno	4–13	-0.07	21%	19 Aug →
cache	13–7	0.08	18%	18 Aug →
inferno	13–8	0.04	27%	18 Aug →
dust2	8–13	-0.05	25%	18 Aug →
inferno	14–16	0.03	19%	14 Aug →
anubis	10–13	-0.07	8%	13 Aug →
nuke	11–13	0.05	14%	13 Aug →
inferno	13–7	0.04	18%	13 Aug →
cache	4–13	0.00	19%	12 Aug →
dust2	7–13	-0.08	13%	12 Aug →
dust2	12–12	-0.03	23%	12 Aug →
dust2	7–13	0.06	33%	12 Aug →
dust2	13–6	-0.03	29%	11 Aug →
dust2	13–7	-0.02	20%	11 Aug →
dust2	13–6	-0.02	20%	11 Aug →
dust2	13–8	-0.01	17%	11 Aug →
cache	11–13	-0.01	27%	8 Aug →
dust2	13–11	0.04	16%	7 Aug →
dust2	0–12	-0.06	29%	7 Aug →
dust2	10–13	-0.09	6%	7 Aug →
dust2	13–5	0.07	21%	5 Aug →
dust2	9–13	0.03	15%	4 Aug →
dust2	13–11	0.03	27%	4 Aug →
dust2	12–12	-0.04	20%	4 Aug →
dust2	12–12	0.00	22%	4 Aug →
dust2	12–12	-0.03	13%	4 Aug →
dust2	13–5	0.11	23%	4 Aug →
dust2	7–13	0.02	24%	3 Aug →
dust2	19–16	0.05	20%	2 Aug →
dust2	9–13	-0.04	17%	2 Aug →
anubis	16–12	0.00	19%	1 Aug →
mirage	13–9	0.02	14%	1 Aug →
cache	13–11	-0.02	7%	1 Aug →
cache	10–4	-0.03	32%	1 Aug →
dust2	9–13	0.04	31%	1 Aug →
mirage	13–16	-0.00	24%	1 Aug →
inferno	13–6	0.00	13%	31 Jul →
dust2	11–13	-0.04	16%	31 Jul →
dust2	13–7	0.00	33%	31 Jul →
anubis	7–13	0.02	24%	31 Jul →
ancient	13–9	0.04	19%	31 Jul →
dust2	13–10	0.01	31%	30 Jul →
mirage	13–5	-0.04	13%	30 Jul →
cache	13–7	-0.04	17%	29 Jul →
ancient	5–13	-0.04	26%	29 Jul →
dust2	13–8	0.04	21%	29 Jul →
cache	13–5	0.03	33%	29 Jul →
cache	13–16	-0.00	22%	28 Jul →
inferno	7–13	-0.05	8%	28 Jul →
dust2	13–8	0.01	40%	27 Jul →
dust2	13–3	0.08	26%	27 Jul →
dust2	13–9	-0.01	31%	27 Jul →
cache	8–13	-0.02	29%	26 Jul →
cache	9–13	-0.07	25%	26 Jul →
mirage	8–13	-0.04	19%	25 Jul →
anubis	13–7	0.00	17%	25 Jul →
anubis	13–4	-0.02	24%	22 Jul →
ancient	5–13	-0.04	13%	22 Jul →
anubis	13–3	0.02	13%	22 Jul →
dust2	13–6	0.04	38%	22 Jul →
inferno	8–8	-0.19	17%	21 Jul →
mirage	6–13	-0.05	13%	21 Jul →
dust2	13–3	0.06	26%	20 Jul →
dust2	13–7	0.06	19%	20 Jul →
cache	7–13	-0.06	35%	20 Jul →
dust2	15–15	0.01	13%	19 Jul →
cache	16–14	0.03	23%	18 Jul →
dust2	13–10	-0.05	16%	18 Jul →
mirage	13–8	-0.04	11%	18 Jul →
anubis	3–13	0.01	41%	18 Jul →
dust2	13–6	0.11	21%	14 Jul →
mirage	12–12	0.08	12%	14 Jul →
dust2	3–13	-0.00	41%	14 Jul →
cache	13–11	0.08	17%	12 Jul →
dust2	13–9	0.05	32%	12 Jul →
anubis	7–13	-0.06	18%	12 Jul →
inferno	6–13	-0.02	12%	11 Jul →
dust2	10–13	-0.01	25%	11 Jul →
dust2	13–9	0.02	27%	11 Jul →
dust2	13–8	0.04	32%	11 Jul →
dust2	13–5	0.08	22%	11 Jul →
ancient	8–13	0.02	14%	11 Jul →
dust2	5–13	0.05	31%	11 Jul →
dust2	12–12	0.02	16%	10 Jul →
cache	13–2	0.03	31%	10 Jul →
cache	13–9	0.05	24%	10 Jul →
cache	8–13	0.01	21%	10 Jul →
dust2	4–13	0.01	24%	10 Jul →
cache	9–13	0.04	26%	10 Jul →
dust2	2–13	-0.02	33%	10 Jul →
inferno	9–13	-0.06	19%	10 Jul →