KingCurtis — CS2 Stats

76561198025347363[U:1:65081635]

2,041Tracked matches55%Win rate2020Tracked since

5,023Hours in CS7Hrs last 2 wks

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating26,134Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)

CSDB Leaderboard#2376 of 28416 tracked

FaceitLevel 2Top 97.9% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=338), 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 2 median	Level 3 median	vs Level 3
Headshot rate	36.1%	42.1%	42.1%	6.0% short
Shot accuracy	14.0%	12.9%	12.1%	above
Kill/death ratio	1.22	1.00	0.99	above
Match win rate	67.2%	42.9%	43.9%	above

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

Widest gap: Headshot rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim76

Positioning73

Utility59

0–100 skill scores via Leetify.

Recent form

HOT44–45–11Last 10044%Win rateLLWWWWWWLW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

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

Aim7.6

Aggression8.6

Utility5.9

Positioning7.3

Opening Duels4.2

Clutch10.0

Strong CT-side openerLimited utility dependenceReliable 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 donk 94% playstyle similarity

Most alike: utility contribution, 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

T-side openings. Opening success drops from 58% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.6

Positioning7.3

Utility5.9

Mechanics5.0

Opening Duels4.2

Win Impact6.7

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.03

first ⅓ avg 0.01 → last ⅓ avg 0.04

Reaction time520ms−25ms

first ⅓ avg 545ms → last ⅓ avg 520ms

Headshot accuracy18.4%−3.0%

first ⅓ avg 21.3% → last ⅓ avg 18.4%

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

0.20Best rating — dust2 7–1

13–0Biggest win — anubis

6Longest win streak

L2Current streak

6–4In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 57% over 21mirageWeakest map · 22% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	21	12–9	57%	0.03
mirage	D	18	4–14	22%	0.02
cache	C	14	5–9	36%	0.03
inferno	B	13	6–7	46%	0.03
ancient	A	11	6–5	55%	-0.00
nuke	D	9	3–6	33%	0.01
vertigo	B	6	3–3	50%	0.07
anubis	C	5	2–3	40%	0.02
overpass	—	2	2–0	100%	0.08
train	—	1	1–0	100%	0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

158,672Lifetime kills

1.22K/D · Top 25% of Level 2 players

13,957Matches

67.2%Match win rate · Top 5% of Level 2 players

36.1%Headshot %

14.0%Shot accuracy · Top 50% of Level 2 players

15,310MVPs

3,230Hours (in match)

7,402Bombs planted

1,453Bombs defused

Most-used weapons

AWP52,042

AK-4740,119

M4A4 / M4A1-S16,870

Desert Eagle7,669

P2000 / USP-S7,389

Glock-184,427

SSG 082,985

Galil AR2,570

FAMAS2,146

P902,075

Lifetime map wins

23,670dust2

6,058inferno

3,410nuke

2,269vertigo

1,878train

504aztec

459cbble

230office

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

Faceit stats

Combat

18Matches

67%Win rate

1.63Avg K/D

95.6ADR

30%Headshot %

Clutches & streaks

75%1v1 clutch win

60%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	2	50%	2.03	22.0
Vertigo	2	100%	2.05	18.0
Inferno	1	100%	3.00	21.0
Nuke	1	100%	1.33	16.0
Mirage	1	100%	1.17	14.0

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.

18.0%Headshot accuracy

37.0%Accuracy (enemy spotted)

32.9%Spray accuracy

72.7%Counter-strafing

8.2°Preaim

509msReaction time

35.3%T opening success

58.2%CT opening success

0.66Enemies flashed / flash

6.4%Flash assists

14.31HE damage / grenade

4.99Flashes / 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 35.3272% — 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.

22% win rate across 18 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
dust2	6–13	0.03	18%	29 Aug →
mirage	6–13	0.06	18%	29 Aug →
cache	13–10	0.10	10%	29 Aug →
dust2	13–6	0.07	15%	29 Aug →
ancient	13–9	0.01	19%	27 Aug →
inferno	13–10	0.02	18%	17 Aug →
ancient	13–8	-0.01	12%	17 Aug →
dust2	7–1	0.20	10%	17 Aug →
inferno	11–13	0.07	9%	17 Aug →
dust2	13–7	0.03	13%	17 Aug →
cache	8–13	-0.04	16%	15 Aug →
ancient	13–6	0.04	16%	15 Aug →
dust2	13–10	0.04	18%	14 Aug →
anubis	12–12	0.01	15%	14 Aug →
mirage	9–13	0.05	34%	14 Aug →
train	13–6	0.05	25%	13 Aug →
cache	10–13	0.07	20%	9 Aug →
overpass	13–11	0.01	24%	9 Aug →
nuke	7–13	-0.03	15%	9 Aug →
mirage	9–13	0.02	8%	9 Aug →
dust2	13–9	0.07	31%	7 Aug →
cache	13–6	0.13	26%	7 Aug →
inferno	13–5	0.06	20%	6 Aug →
dust2	13–2	0.06	12%	6 Aug →
cache	1–13	-0.01	22%	4 Aug →
ancient	13–5	0.04	16%	4 Aug →
nuke	7–13	0.01	28%	4 Aug →
dust2	4–13	-0.04	12%	3 Aug →
anubis	6–13	0.00	22%	3 Aug →
ancient	1–13	-0.07	13%	3 Aug →
mirage	12–12	-0.01	24%	3 Aug →
cache	13–7	0.16	28%	3 Aug →
vertigo	13–5	0.05	23%	2 Aug →
cache	13–6	0.03	8%	2 Aug →
mirage	6–13	0.01	21%	2 Aug →
nuke	12–12	-0.02	22%	2 Aug →
ancient	11–13	-0.02	16%	2 Aug →
dust2	13–4	0.04	24%	1 Aug →
inferno	12–12	0.05	17%	31 Jul →
overpass	13–2	0.16	24%	31 Jul →
anubis	5–0	0.09	11%	31 Jul →
vertigo	13–3	0.18	26%	31 Jul →
nuke	13–7	0.11	12%	31 Jul →
mirage	12–12	0.06	22%	30 Jul →
anubis	11–13	-0.02	22%	29 Jul →
ancient	10–13	0.00	22%	29 Jul →
dust2	7–13	-0.06	20%	29 Jul →
inferno	3–13	-0.06	11%	29 Jul →
ancient	13–6	0.04	21%	29 Jul →
vertigo	12–12	0.03	20%	29 Jul →
mirage	10–13	0.04	14%	26 Jul →
vertigo	12–12	0.03	14%	26 Jul →
dust2	7–13	0.02	13%	26 Jul →
vertigo	9–13	0.09	16%	26 Jul →
mirage	8–13	0.09	18%	26 Jul →
vertigo	13–9	0.02	6%	26 Jul →
anubis	13–0	0.01	6%	26 Jul →
mirage	12–12	0.04	7%	26 Jul →
dust2	13–6	0.17	13%	26 Jul →
mirage	1–13	-0.08	14%	26 Jul →
mirage	13–0	0.00	0%	26 Jul →
inferno	13–6	-0.01	15%	26 Jul →
dust2	13–6	0.00	29%	25 Jul →
mirage	2–0	0.09	25%	25 Jul →
nuke	11–13	-0.05	13%	24 Jul →
dust2	13–10	-0.00	14%	24 Jul →
cache	10–13	0.03	16%	24 Jul →
dust2	12–12	0.01	8%	24 Jul →
mirage	13–11	0.02	17%	23 Jul →
ancient	3–8	-0.08	6%	23 Jul →
cache	9–13	0.03	30%	23 Jul →
mirage	13–11	0.01	21%	22 Jul →
inferno	8–13	0.00	21%	22 Jul →
nuke	13–9	0.03	20%	22 Jul →
inferno	7–13	0.08	31%	22 Jul →
dust2	3–13	-0.07	26%	21 Jul →
nuke	10–13	0.00	19%	20 Jul →
cache	7–13	-0.07	15%	20 Jul →
inferno	13–10	0.03	37%	20 Jul →
ancient	9–13	0.01	18%	20 Jul →
dust2	7–13	-0.00	30%	19 Jul →
mirage	0–13	-0.01	18%	19 Jul →
cache	13–11	0.03	23%	19 Jul →
nuke	13–7	0.06	22%	19 Jul →
dust2	13–11	0.03	33%	19 Jul →
ancient	13–7	-0.01	15%	19 Jul →
dust2	12–12	0.10	20%	18 Jul →
cache	3–13	0.01	28%	17 Jul →
dust2	8–13	-0.00	12%	17 Jul →
inferno	12–12	0.07	18%	16 Jul →
mirage	8–13	0.00	17%	15 Jul →
cache	3–6	-0.04	20%	15 Jul →
inferno	4–13	0.03	18%	13 Jul →
nuke	9–13	-0.01	18%	12 Jul →
mirage	3–13	-0.10	26%	12 Jul →
dust2	13–9	0.04	25%	12 Jul →
inferno	6–2	0.03	27%	11 Jul →
inferno	13–7	0.03	22%	11 Jul →
mirage	10–13	0.01	28%	11 Jul →
cache	9–13	0.04	14%	10 Jul →