seaKING — CS2 Stats

US76561197960936252[U:1:670524]Steam profile ↗

3,539Tracked matches55%Win rate2023Tracked since

2,965Hours in CS37Hrs last 2 wks

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating17,982Purple band · top ~16.5% of ranked players (population est.)

CSDB Leaderboard#8410 of 15338 tracked

FaceitLevel 5 · 1,093 ELOTop 67.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

Rating over time

17,982Peak Premier on CSDB

1,093Peak Faceit ELO on CSDB

1Days observed since 2026-08-28

Faceit ELO

At peak — 1,093
Next: Level 6 at 1,201 — 108 to go
Reached: Level 5 · Level 4 · Level 3 · Level 2
Level 5 first seen 2026-08-28
Level 4 first seen 2026-08-28

Premier CS Rating

At peak — 17,982
Next: Pink band at 20,000 — 2,018 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-28
Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim80

Positioning64

Utility43

0–100 skill scores via Leetify.

Recent form

HOT51–46–3Last 10051%Win rateLWWWWWWWLL

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim8.0

Aggression8.7

Utility4.3

Positioning6.4

Opening Duels5.0

Clutch5.4

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 ropz 91% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

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

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

Aim8.0

Positioning6.4

Utility4.3

Mechanics7.9

Opening Duels5.0

Win Impact6.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time536ms−67ms

first ⅓ avg 603ms → last ⅓ avg 536ms

Headshot accuracy14.8%−0.1%

first ⅓ avg 14.9% → last ⅓ avg 14.8%

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

0.13Best rating — train 13–4

13–2Biggest win — dust2

7Longest win streak

6–11In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 75% over 12cacheWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	24	13–11	54%	0.01
mirage	B	18	9–9	50%	0.01
ancient	B	14	7–7	50%	0.01
cache	D	13	4–9	31%	-0.01
nuke	S	12	9–3	75%	0.02
anubis	D	6	2–4	33%	-0.03
inferno	B	6	3–3	50%	0.02
vertigo	—	4	3–1	75%	0.00
train	—	2	1–1	50%	0.03
office	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Lifetime stats

71,075Lifetime kills

0.97K/D

4,516Matches

46.3%Match win rate

42.9%Headshot %

1.1%Shot accuracy

8,435MVPs

1,732Hours (in match)

6,381Bombs planted

853Bombs defused

Most-used weapons

AK-4716,316

M4A4 / M4A1-S12,903

AWP4,378

Galil AR4,037

P2000 / USP-S3,439

MAC-103,383

AUG3,279

SG 5532,995

SSG 082,806

Glock-182,794

Lifetime map wins

9,520dust2

5,587nuke

3,598inferno

3,057vertigo

1,753train

1,161office

237italy

54militia

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

Faceit stats

Combat

123Matches

50%Win rate

1.06Avg K/D

80.0ADR

45%Headshot %

Clutches & streaks

47%1v1 clutch win

20%1v2 clutch win

4Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	32	34%	1.06	14.6
Dust2	26	62%	1.07	15.0
Nuke	17	71%	1.13	14.9
Ancient	16	44%	1.05	17.2
Inferno	14	50%	1.07	14.8
Train	8	62%	0.98	15.9
Vertigo	3	67%	1.08	17.0
Cache	3	33%	0.98	12.7

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.

14.4%Headshot accuracy

37.9%Accuracy (enemy spotted)

40.3%Spray accuracy

85.5%Counter-strafing

9.7°Preaim

535msReaction time

47.1%T opening success

52.6%CT opening success

0.55Enemies flashed / flash

8.7%Flash assists

6.33HE damage / grenade

6.59Flashes / 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 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.3891% — below the 15% mark we flag
Aim Training →

Spend your practice time on Cache

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

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	0.03	25%	28 Aug →
dust2	13–8	-0.01	17%	28 Aug →
dust2	13–8	-0.03	14%	25 Aug →
mirage	13–10	-0.06	3%	25 Aug →
nuke	13–8	0.04	23%	25 Aug →
nuke	13–10	0.01	15%	24 Aug →
dust2	13–9	0.06	19%	24 Aug →
mirage	16–12	0.02	23%	24 Aug →
dust2	4–13	-0.06	31%	24 Aug →
nuke	11–13	0.03	15%	24 Aug →
dust2	10–13	0.04	16%	23 Aug →
anubis	13–11	-0.02	8%	23 Aug →
mirage	8–13	0.10	19%	23 Aug →
mirage	6–13	0.03	8%	23 Aug →
dust2	13–4	0.03	10%	22 Aug →
cache	7–13	-0.01	8%	22 Aug →
ancient	16–13	0.01	13%	22 Aug →
ancient	11–13	0.00	12%	22 Aug →
mirage	6–13	-0.00	13%	22 Aug →
nuke	16–14	-0.04	9%	22 Aug →
mirage	13–4	0.05	13%	22 Aug →
ancient	13–11	0.07	13%	22 Aug →
ancient	13–9	0.04	13%	22 Aug →
ancient	13–4	0.02	10%	22 Aug →
nuke	2–13	-0.00	13%	22 Aug →
dust2	15–15	-0.01	10%	21 Aug →
dust2	13–11	0.11	16%	21 Aug →
dust2	8–13	-0.03	23%	21 Aug →
ancient	10–13	-0.02	9%	20 Aug →
cache	9–13	0.08	13%	19 Aug →
nuke	13–10	-0.00	9%	19 Aug →
dust2	9–13	-0.06	23%	18 Aug →
inferno	13–9	0.07	22%	18 Aug →
nuke	13–7	0.01	14%	18 Aug →
mirage	13–6	-0.03	19%	17 Aug →
ancient	13–6	0.02	12%	17 Aug →
train	10–13	-0.07	11%	16 Aug →
inferno	14–16	0.02	18%	16 Aug →
cache	5–13	-0.05	9%	16 Aug →
dust2	13–9	0.04	18%	16 Aug →
mirage	6–13	-0.04	13%	16 Aug →
dust2	16–13	0.04	12%	16 Aug →
cache	13–4	0.00	35%	16 Aug →
cache	9–13	-0.00	11%	16 Aug →
mirage	16–12	0.04	19%	14 Aug →
ancient	13–16	-0.03	15%	14 Aug →
dust2	13–10	-0.03	16%	14 Aug →
nuke	11–13	0.05	12%	14 Aug →
ancient	13–6	0.04	16%	13 Aug →
nuke	13–3	0.00	7%	13 Aug →
dust2	10–13	-0.03	16%	13 Aug →
dust2	13–2	0.05	7%	13 Aug →
ancient	10–13	-0.05	10%	13 Aug →
anubis	9–13	-0.07	5%	13 Aug →
anubis	13–11	0.05	17%	13 Aug →
dust2	7–13	0.02	19%	13 Aug →
cache	11–13	0.00	17%	12 Aug →
mirage	6–13	-0.02	19%	12 Aug →
ancient	9–13	-0.04	12%	12 Aug →
dust2	13–10	-0.03	18%	12 Aug →
mirage	13–4	-0.03	11%	12 Aug →
dust2	10–13	-0.03	8%	12 Aug →
cache	11–13	-0.01	20%	12 Aug →
nuke	13–2	0.00	27%	12 Aug →
inferno	13–9	0.02	17%	12 Aug →
dust2	3–13	-0.04	12%	11 Aug →
cache	3–13	-0.09	16%	11 Aug →
cache	5–13	0.07	10%	11 Aug →
dust2	13–8	0.10	18%	11 Aug →
inferno	6–13	-0.00	12%	11 Aug →
cache	13–8	-0.02	10%	11 Aug →
dust2	13–8	0.02	18%	11 Aug →
ancient	10–13	0.04	9%	10 Aug →
cache	5–13	-0.13	16%	9 Aug →
ancient	16–12	-0.06	5%	9 Aug →
mirage	7–13	0.03	7%	9 Aug →
nuke	13–7	0.06	14%	9 Aug →
dust2	8–13	-0.05	11%	9 Aug →
inferno	12–12	-0.02	16%	9 Aug →
cache	13–7	-0.05	23%	8 Aug →
nuke	13–3	0.07	15%	8 Aug →
anubis	11–13	-0.06	10%	8 Aug →
mirage	11–13	-0.00	13%	8 Aug →
dust2	13–4	0.05	11%	8 Aug →
mirage	6–13	0.01	13%	7 Aug →
mirage	13–10	-0.01	14%	7 Aug →
cache	13–8	0.05	28%	7 Aug →
office	12–12	0.05	18%	7 Aug →
anubis	10–13	-0.04	14%	6 Aug →
vertigo	13–8	-0.04	16%	6 Aug →
mirage	13–8	0.05	25%	6 Aug →
ancient	11–13	0.06	19%	6 Aug →
vertigo	13–10	0.03	15%	6 Aug →
anubis	3–13	-0.06	13%	5 Aug →
mirage	13–11	0.04	20%	5 Aug →
vertigo	11–13	-0.02	13%	1 Aug →
vertigo	13–7	0.03	20%	1 Aug →
train	13–4	0.13	19%	1 Aug →
inferno	13–3	0.05	12%	1 Aug →
mirage	4–13	-0.05	16%	1 Aug →