detentioN — CS2 Stats

CY76561198150896584[U:1:190630856]Steam profile ↗✓ No bans

1,897Tracked matches31%Win rate2020Tracked since

CSDB Rating6.1 SolidHybrid Rifler

Premier CS Rating26,359Top 25% of 17,162 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#2251 of 31907 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanDistinguished Master Guardian

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning53

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateLLWLTWWLWW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

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

Aim9.2

Aggression6.2

Utility4.3

Positioning5.3

Opening Duels2.1

Clutch6.0

Sharp aimerLimited utility dependence

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 Twistzz 92% playstyle similarity

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

Where you differ: 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

Strengths

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 39 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.

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

Aim9.2

Positioning5.3

Utility4.3

Mechanics7.8

Opening Duels2.1

Win Impact0.0

Composite 6.1/10 (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 rating0.01−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time538ms−69ms

first ⅓ avg 607ms → last ⅓ avg 538ms

Headshot accuracy28.1%+6.1%

first ⅓ avg 22.0% → last ⅓ avg 28.1%

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

0.15Best rating — dust2 13–5

13–1Biggest win — dust2

6Longest win streak

L2Current streak

9–4In matches decided by ≤2 rounds

5Overtime games

Map breakdown

cacheBest map · 64% over 22ancientWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	22	14–8	64%	0.04
inferno	B	21	10–11	48%	0.02
dust2	B	14	7–7	50%	0.02
anubis	D	12	4–8	33%	0.03
vertigo	A	9	5–4	56%	0.04
mirage	B	8	4–4	50%	0.01
ancient	D	8	2–6	25%	-0.01
nuke	—	3	1–2	33%	0.01
overpass	—	2	1–1	50%	0.06
fachwerk	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

605Matches

55%Win rate

1.21Avg K/D

89.5ADR

42%Headshot %

Clutches & streaks

50%1v1 clutch win

29%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	12	58%	1.69	19.1
Inferno	9	89%	1.47	17.2
Ancient	8	50%	1.28	18.3
Anubis	8	75%	1.53	19.8
Cache	3	67%	1.23	19.0
Mirage	2	50%	1.08	13.5
Overpass	1	100%	1.00	13.0

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.

26.7%Headshot accuracy

37.4%Accuracy (enemy spotted)

38.4%Spray accuracy

85.1%Counter-strafing

7.4°Preaim

530msReaction time

37.1%T opening success

39.9%CT opening success

0.51Enemies flashed / flash

3.2%Flash assists

12.17HE damage / grenade

4.61Flashes / 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 37.1145% — below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	10–13	0.02	31%	24 Aug →
inferno	8–13	-0.02	29%	23 Aug →
vertigo	8–2	0.01	23%	23 Aug →
cache	6–13	0.05	14%	22 Aug →
cache	12–12	0.11	25%	21 Aug →
vertigo	13–10	0.04	23%	21 Aug →
mirage	16–13	0.02	14%	21 Aug →
mirage	11–13	-0.01	35%	21 Aug →
cache	7–1	0.05	23%	21 Aug →
dust2	13–1	0.08	28%	21 Aug →
nuke	13–8	0.00	19%	20 Aug →
inferno	6–13	0.01	44%	20 Aug →
ancient	1–13	-0.07	31%	20 Aug →
ancient	3–13	0.00	19%	20 Aug →
ancient	4–13	0.01	20%	20 Aug →
mirage	11–13	-0.07	16%	19 Aug →
dust2	13–6	-0.00	19%	19 Aug →
dust2	13–2	0.01	27%	19 Aug →
inferno	9–13	0.03	15%	18 Aug →
inferno	3–13	-0.04	100%	18 Aug →
nuke	6–13	-0.09	23%	18 Aug →
mirage	13–11	0.01	25%	17 Aug →
ancient	4–13	-0.02	15%	17 Aug →
inferno	3–13	-0.02	47%	17 Aug →
dust2	1–13	-0.01	11%	16 Aug →
dust2	9–13	0.08	29%	15 Aug →
overpass	4–13	0.05	34%	15 Aug →
cache	10–13	-0.02	27%	15 Aug →
anubis	6–13	0.04	24%	15 Aug →
ancient	0–13	-0.05	29%	15 Aug →
fachwerk	13–4	0.04	41%	15 Aug →
cache	13–8	0.12	38%	15 Aug →
nuke	9–13	0.11	31%	15 Aug →
mirage	9–13	0.07	23%	15 Aug →
inferno	12–12	0.04	24%	15 Aug →
overpass	13–5	0.07	20%	15 Aug →
vertigo	11–13	0.12	20%	15 Aug →
anubis	10–13	0.13	23%	15 Aug →
dust2	6–13	-0.01	11%	15 Aug →
vertigo	13–10	0.13	23%	14 Aug →
cache	13–6	0.11	24%	14 Aug →
dust2	2–13	-0.01	28%	11 Aug →
anubis	13–8	0.07	30%	11 Aug →
inferno	13–10	0.09	27%	11 Aug →
anubis	13–4	0.01	22%	10 Aug →
cache	13–4	0.01	36%	10 Aug →
dust2	7–13	0.00	28%	9 Aug →
inferno	10–13	0.00	18%	9 Aug →
inferno	13–11	0.01	18%	7 Aug →
vertigo	2–5	-0.04	21%	7 Aug →
cache	13–11	-0.03	33%	7 Aug →
cache	13–8	0.04	29%	7 Aug →
inferno	8–13	-0.00	17%	7 Aug →
vertigo	13–6	-0.03	25%	7 Aug →
anubis	13–6	0.09	33%	4 Aug →
inferno	3–1	0.03	11%	4 Aug →
mirage	13–9	-0.05	18%	2 Aug →
vertigo	7–13	0.02	14%	2 Aug →
cache	13–9	0.01	19%	1 Aug →
inferno	13–3	0.03	29%	1 Aug →
inferno	6–13	-0.00	31%	1 Aug →
cache	16–13	0.00	17%	31 Jul →
dust2	13–8	0.02	38%	31 Jul →
cache	3–13	-0.03	24%	30 Jul →
vertigo	7–13	0.01	24%	30 Jul →
vertigo	13–4	0.11	17%	28 Jul →
inferno	11–13	0.01	19%	28 Jul →
cache	13–6	0.06	27%	27 Jul →
dust2	13–5	0.15	28%	27 Jul →
mirage	13–4	0.14	33%	27 Jul →
ancient	5–13	-0.02	17%	26 Jul →
anubis	12–16	0.04	25%	26 Jul →
anubis	8–13	-0.03	29%	25 Jul →
cache	13–5	-0.00	35%	25 Jul →
anubis	6–13	-0.03	10%	22 Jul →
anubis	1–13	-0.01	14%	22 Jul →
dust2	13–7	-0.04	22%	22 Jul →
anubis	13–2	0.04	30%	22 Jul →
ancient	16–14	-0.02	21%	21 Jul →
cache	13–11	0.04	28%	21 Jul →
inferno	4–13	0.01	29%	20 Jul →
anubis	15–15	0.03	23%	20 Jul →
mirage	6–13	-0.02	18%	20 Jul →
dust2	10–13	-0.02	18%	19 Jul →
anubis	7–13	-0.02	12%	19 Jul →
cache	3–13	-0.06	13%	19 Jul →
inferno	13–8	0.04	18%	18 Jul →
cache	9–13	0.07	29%	18 Jul →
dust2	6–13	-0.05	21%	18 Jul →
cache	13–11	-0.00	24%	18 Jul →
inferno	13–2	-0.02	14%	18 Jul →
inferno	13–9	0.08	18%	18 Jul →
inferno	13–9	0.12	18%	18 Jul →
cache	12–12	0.10	19%	18 Jul →
cache	13–9	0.06	16%	17 Jul →
ancient	13–9	0.06	32%	16 Jul →
inferno	13–11	0.04	24%	16 Jul →
dust2	13–3	0.05	29%	16 Jul →
cache	13–3	0.10	14%	16 Jul →
inferno	13–11	0.02	22%	14 Jul →