cayman cid3r — CS2 Stats

76561198058998254[U:1:98732526]

2,444Tracked matches21%Win rate2022Tracked since

3,546Hours in CS

CSDB Rating4.9 DevelopingPassive Rifler

Premier CS Rating14,878Blue band · top ~29% of ranked players (population est.)

CSDB Leaderboard#13561 of 20956 tracked

FaceitLevel 6 · 1,210 ELOTop 54.0% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim78

Positioning48

Utility45

0–100 skill scores via Leetify.

Recent form

COLD42–56–2Last 10042%Win rateLLLWWLLLLL

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

Player DNA

Primary style: Passive Rifler — Aim-led profile without a single dominant tendency.

Aim7.8

Aggression4.4

Utility4.5

Positioning4.8

Opening Duels0.3

Clutch3.2

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 NiKo 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

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

T-side openings. Opening success drops from 42% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms 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

Aim7.8

Positioning4.8

Utility4.5

Mechanics7.1

Opening Duels1.5

Win Impact0.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.05

first ⅓ avg 0.03 → last ⅓ avg -0.03

Reaction time608ms−28ms

first ⅓ avg 636ms → last ⅓ avg 608ms

Headshot accuracy28.2%+0.5%

first ⅓ avg 27.8% → last ⅓ avg 28.2%

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 — mirage 13–4

13–0Biggest win — nuke

4Longest win streak

L3Current streak

6–13In matches decided by ≤2 rounds

8Overtime games

Map breakdown

dust2Best map · 54% over 28anubisWeakest map · 27% over 15

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	28	15–13	54%	0.01
mirage	B	21	10–11	48%	0.02
inferno	C	16	7–9	44%	0.02
anubis	D	15	4–11	27%	0.01
nuke	C	7	3–4	43%	0.04
ancient	D	7	2–5	29%	-0.01
cache	—	4	0–4	0%	-0.04
overpass	—	2	1–1	50%	0.00

Across the last 100 tracked matches.

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

Lifetime stats

249,651Lifetime kills

1.11K/D · Top 50% of tracked players

9,866Matches

27.5%Match win rate

48.9%Headshot % · Top 50% of tracked players

13.6%Shot accuracy · Top 50% of tracked players

14,954MVPs

3,546Hours (in match)

7,530Bombs planted

1,598Bombs defused

Most-used weapons

AK-47103,189

AWP53,971

M4A4 / M4A1-S30,252

P2000 / USP-S10,472

Desert Eagle9,275

P2507,724

Five-SeveN7,700

Glock-186,132

FAMAS5,423

Galil AR5,257

Lifetime map wins

44,078dust2

5,375inferno

3,294nuke

2,441vertigo

262train

147office

32aztec

24cbble

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

Faceit stats

Combat

596Matches

50%Win rate

1.10Avg K/D

71.4ADR

52%Headshot %

Clutches & streaks

36%1v1 clutch win

36%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	135	50%	1.06	16.0
Inferno	95	45%	1.01	15.6
Vertigo	92	47%	1.18	17.0
Anubis	84	51%	1.11	16.6
Ancient	61	59%	1.17	16.4
Nuke	53	47%	1.22	16.8
Dust2	44	55%	1.03	14.3
Overpass	32	44%	1.12	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.

26.4%Headshot accuracy

36.0%Accuracy (enemy spotted)

38.0%Spray accuracy

81.9%Counter-strafing

10.7°Preaim

622msReaction time

19.8%T opening success

42.3%CT opening success

0.62Enemies flashed / flash

5.2%Flash assists

7.97HE damage / grenade

6.47Flashes / 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 19.8035% — below the 40% mark we flag

Spend your practice time on Anubis

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.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
anubis	11–13	-0.02	24%	28 Aug →
nuke	11–13	0.09	33%	28 Aug →
dust2	5–13	-0.07	44%	25 Aug →
mirage	13–4	-0.03	19%	25 Aug →
inferno	13–5	-0.03	27%	25 Aug →
mirage	5–13	-0.07	23%	25 Aug →
cache	6–13	-0.09	15%	24 Aug →
inferno	3–13	-0.05	30%	24 Aug →
mirage	2–13	-0.07	19%	24 Aug →
dust2	10–13	0.04	30%	24 Aug →
dust2	4–13	-0.03	19%	23 Aug →
ancient	14–16	-0.08	21%	23 Aug →
inferno	7–13	0.04	31%	23 Aug →
anubis	10–13	0.05	18%	22 Aug →
anubis	6–13	-0.04	30%	22 Aug →
anubis	5–13	-0.02	29%	22 Aug →
inferno	3–2	-0.08	100%	22 Aug →
mirage	10–13	-0.03	37%	20 Aug →
dust2	5–13	-0.06	31%	20 Aug →
mirage	7–13	-0.05	22%	19 Aug →
ancient	10–13	0.02	28%	19 Aug →
mirage	11–13	-0.06	22%	19 Aug →
inferno	14–16	0.04	24%	18 Aug →
dust2	6–13	-0.07	33%	18 Aug →
mirage	13–11	-0.02	27%	18 Aug →
anubis	9–13	-0.05	13%	17 Aug →
inferno	13–11	0.01	23%	17 Aug →
nuke	12–12	-0.01	31%	17 Aug →
ancient	13–10	0.04	34%	17 Aug →
mirage	0–13	-0.05	0%	17 Aug →
inferno	6–13	-0.07	38%	14 Aug →
inferno	13–16	0.02	29%	13 Aug →
anubis	2–13	-0.06	27%	13 Aug →
dust2	13–5	-0.02	29%	13 Aug →
dust2	6–13	0.08	31%	13 Aug →
ancient	7–13	-0.04	24%	12 Aug →
dust2	13–7	0.03	31%	12 Aug →
anubis	7–13	0.01	15%	12 Aug →
anubis	9–13	-0.01	23%	12 Aug →
inferno	13–11	0.08	28%	12 Aug →
dust2	6–3	-0.09	33%	11 Aug →
dust2	13–6	0.05	59%	11 Aug →
anubis	6–13	-0.03	24%	11 Aug →
ancient	10–13	0.01	18%	11 Aug →
mirage	13–4	0.20	27%	11 Aug →
anubis	13–7	0.14	19%	11 Aug →
inferno	5–13	0.09	26%	11 Aug →
mirage	13–5	0.15	18%	11 Aug →
mirage	13–9	-0.04	16%	11 Aug →
mirage	8–13	0.19	31%	11 Aug →
anubis	9–13	0.00	25%	10 Aug →
dust2	5–13	-0.00	28%	10 Aug →
ancient	10–13	-0.01	8%	8 Aug →
inferno	13–10	0.03	31%	8 Aug →
dust2	13–8	0.03	29%	8 Aug →
dust2	13–9	0.03	25%	8 Aug →
inferno	11–13	0.10	24%	8 Aug →
nuke	14–16	-0.01	21%	7 Aug →
dust2	4–13	0.04	23%	7 Aug →
mirage	13–6	0.04	48%	7 Aug →
dust2	8–13	-0.02	31%	5 Aug →
mirage	11–13	0.09	34%	3 Aug →
dust2	16–12	0.04	30%	3 Aug →
cache	1–13	-0.07	33%	1 Aug →
inferno	13–7	-0.01	27%	1 Aug →
anubis	13–10	0.07	29%	1 Aug →
cache	6–13	0.01	24%	1 Aug →
inferno	11–13	-0.02	33%	1 Aug →
dust2	13–6	0.08	33%	1 Aug →
nuke	10–13	0.01	27%	1 Aug →
mirage	13–7	0.06	27%	1 Aug →
mirage	11–13	0.10	30%	30 Jul →
nuke	13–7	0.13	33%	29 Jul →
dust2	13–7	0.08	25%	29 Jul →
dust2	16–13	0.02	44%	29 Jul →
ancient	13–6	-0.04	18%	29 Jul →
anubis	10–13	0.04	27%	28 Jul →
nuke	13–0	0.06	31%	28 Jul →
mirage	13–9	-0.01	25%	27 Jul →
mirage	8–13	0.03	27%	26 Jul →
anubis	13–10	0.07	38%	26 Jul →
inferno	13–9	0.08	34%	26 Jul →
nuke	13–6	-0.01	42%	26 Jul →
dust2	13–10	0.05	30%	25 Jul →
dust2	11–13	0.04	27%	25 Jul →
cache	5–13	-0.02	18%	9 Jul →
dust2	13–9	0.03	32%	8 Jul →
dust2	13–8	0.05	35%	7 Jul →
inferno	11–13	-0.00	19%	3 Jul →
dust2	12–12	-0.01	19%	2 Jul →
dust2	9–13	0.00	19%	1 Jul →
dust2	16–13	-0.04	29%	1 Jul →
dust2	7–13	-0.04	29%	1 Jul →
mirage	7–13	0.06	23%	1 Jul →
mirage	16–14	0.00	22%	29 Jun →
overpass	13–11	0.02	28%	29 Jun →
overpass	11–13	-0.01	30%	27 Jun →
dust2	13–7	0.00	26%	27 Jun →
anubis	13–2	0.08	21%	27 Jun →
mirage	13–4	-0.04	16%	27 Jun →