Cadestur — CS2 Stats

US76561198207051519[U:1:246785791]Steam profile ↗✓ No bans

759Tracked matches39%Win rate2021Tracked since

CSDB Rating6.7 SolidAggressive Rifler

Premier CS Rating20,377Top 50% of 29,473 CSDB-tracked playersPink band · top ~8.1% of ranked players (population est.)

CSDB Leaderboard#20187 of 56302 tracked

FaceitLevel 8Top 31.2% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning55

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY42–53–5Last 10042%Win rateLLWWLWWLLL

Last 10 vs previous 10: +0pp win rate · +0.04 avg rating

Player DNA

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

Aim9.3

Aggression7.2

Utility5.8

Positioning5.5

Opening Duels3.6

Clutch2.8

Sharp aimerExcellent counter-strafingEffective 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 ropz 94% playstyle similarity

Most alike: opening-fight frequency, 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

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 38 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.

Reaction time. 559ms 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

Aim9.3

Positioning5.5

Utility5.8

Mechanics8.9

Opening Duels3.6

Win Impact1.4

Composite 6.7/10 (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 rating0.02−0.02

first ⅓ avg 0.05 → last ⅓ avg 0.02

Reaction time567ms−44ms

first ⅓ avg 610ms → last ⅓ avg 567ms

Headshot accuracy26.7%+0.4%

first ⅓ avg 26.3% → last ⅓ avg 26.7%

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

0.17Best rating — cache 13–4

13–1Biggest win — cache

3Longest win streak

L2Current streak

7–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 64% over 11anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	12–11	52%	0.02
dust2	D	21	6–15	29%	0.05
cache	A	14	8–6	57%	0.07
nuke	A	11	7–4	64%	0.06
ancient	D	11	3–8	27%	0.00
inferno	C	10	4–6	40%	0.03
anubis	D	9	2–7	22%	-0.01
train	—	1	0–1	0%	0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

346Matches

50%Win rate

1.29Avg K/D

89.6ADR

51%Headshot %

Clutches & streaks

34%1v1 clutch win

26%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	45	53%	1.24	18.2
Inferno	44	43%	1.43	19.4
Ancient	33	45%	1.20	18.1
Dust2	28	50%	1.24	18.1
Nuke	17	71%	1.43	20.4
Anubis	10	30%	0.90	14.0
Cache	6	83%	1.27	20.3
Train	3	33%	0.94	15.3

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.

26.7%Headshot accuracy

41.0%Accuracy (enemy spotted)

41.5%Spray accuracy

90.2%Counter-strafing

9.3°Preaim

559msReaction time

40.0%T opening success

49.0%CT opening success

0.75Enemies flashed / flash

5.4%Flash assists

9.94HE damage / grenade

8.22Flashes / 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 39.9884% — 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.

22% win rate across 9 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
inferno	10–13	0.02	25%	30 Aug →
nuke	10–13	0.08	37%	30 Aug →
cache	13–4	0.09	55%	30 Aug →
nuke	13–11	0.10	48%	27 Aug →
dust2	4–13	-0.03	8%	22 Aug →
mirage	13–2	0.15	28%	22 Aug →
ancient	13–7	-0.03	28%	22 Aug →
anubis	8–13	-0.02	23%	21 Aug →
inferno	11–13	0.01	33%	20 Aug →
dust2	8–13	0.05	28%	20 Aug →
inferno	7–13	-0.02	33%	20 Aug →
cache	7–13	-0.02	27%	19 Aug →
ancient	13–8	-0.01	13%	19 Aug →
dust2	13–10	0.05	21%	19 Aug →
mirage	11–13	-0.01	24%	19 Aug →
cache	6–13	0.03	22%	19 Aug →
dust2	2–13	-0.02	21%	19 Aug →
dust2	12–12	0.07	22%	19 Aug →
dust2	13–4	0.00	25%	18 Aug →
ancient	13–9	-0.02	36%	18 Aug →
dust2	13–16	0.05	16%	12 Aug →
ancient	1–13	-0.07	23%	12 Aug →
dust2	15–15	0.10	29%	12 Aug →
ancient	7–13	0.13	24%	12 Aug →
dust2	13–11	0.05	26%	12 Aug →
mirage	11–13	0.01	33%	11 Aug →
mirage	13–3	0.06	15%	11 Aug →
dust2	11–13	0.04	33%	11 Aug →
inferno	5–13	-0.11	16%	11 Aug →
cache	13–7	-0.01	24%	11 Aug →
mirage	13–9	0.05	24%	10 Aug →
anubis	9–13	0.03	59%	10 Aug →
mirage	7–13	0.01	3%	10 Aug →
nuke	13–10	0.04	30%	10 Aug →
mirage	3–13	-0.04	25%	10 Aug →
mirage	8–1	0.01	17%	10 Aug →
dust2	3–13	0.01	59%	10 Aug →
mirage	13–2	0.09	50%	10 Aug →
anubis	13–3	0.05	26%	10 Aug →
ancient	6–13	-0.07	23%	10 Aug →
inferno	11–13	0.06	37%	9 Aug →
cache	13–7	0.15	40%	9 Aug →
ancient	15–15	0.09	38%	9 Aug →
nuke	13–3	0.05	16%	9 Aug →
mirage	6–13	-0.05	24%	6 Aug →
cache	13–7	0.03	21%	6 Aug →
cache	13–1	0.11	33%	6 Aug →
dust2	9–13	0.06	33%	6 Aug →
nuke	2–13	-0.02	27%	6 Aug →
anubis	2–13	0.08	28%	5 Aug →
inferno	10–13	0.08	23%	31 Jul →
mirage	13–8	0.04	23%	31 Jul →
mirage	10–13	-0.02	26%	30 Jul →
nuke	13–6	0.10	32%	30 Jul →
anubis	7–13	-0.09	17%	29 Jul →
nuke	9–13	-0.04	20%	26 Jul →
mirage	10–13	-0.07	14%	26 Jul →
anubis	13–10	0.00	25%	25 Jul →
dust2	13–4	0.14	36%	25 Jul →
ancient	7–13	0.01	28%	25 Jul →
anubis	6–13	-0.04	27%	25 Jul →
dust2	9–13	0.03	32%	25 Jul →
inferno	13–11	0.04	30%	25 Jul →
dust2	6–13	-0.04	14%	25 Jul →
mirage	3–13	0.04	12%	25 Jul →
ancient	15–15	0.03	18%	25 Jul →
cache	13–11	0.05	16%	25 Jul →
mirage	13–11	-0.05	19%	23 Jul →
dust2	9–13	0.11	32%	23 Jul →
anubis	5–13	-0.04	21%	23 Jul →
mirage	8–13	-0.02	13%	22 Jul →
ancient	3–11	-0.04	16%	22 Jul →
mirage	13–7	0.00	22%	21 Jul →
ancient	11–13	-0.00	16%	21 Jul →
mirage	16–13	0.01	19%	21 Jul →
inferno	13–8	0.03	34%	20 Jul →
nuke	13–1	0.11	61%	20 Jul →
cache	10–13	0.08	27%	19 Jul →
inferno	13–4	0.06	44%	19 Jul →
mirage	13–8	0.07	20%	19 Jul →
dust2	4–13	0.14	30%	19 Jul →
nuke	13–6	0.14	31%	19 Jul →
cache	13–4	0.17	40%	19 Jul →
nuke	8–13	0.01	28%	19 Jul →
cache	15–15	0.11	25%	19 Jul →
inferno	13–11	0.12	33%	19 Jul →
dust2	13–10	0.07	26%	18 Jul →
mirage	16–12	0.09	15%	18 Jul →
mirage	9–13	-0.04	28%	18 Jul →
dust2	2–13	-0.02	25%	18 Jul →
cache	11–13	0.11	32%	18 Jul →
anubis	2–13	-0.08	25%	17 Jul →
train	8–13	0.01	24%	17 Jul →
dust2	13–3	0.11	17%	17 Jul →
nuke	13–5	0.10	28%	17 Jul →
cache	13–10	0.11	27%	17 Jul →
dust2	8–13	0.04	29%	17 Jul →
cache	6–13	-0.02	21%	17 Jul →
mirage	13–11	0.02	16%	17 Jul →
mirage	10–13	0.03	20%	16 Jul →