Min.T — CS2 Stats

US76561198963482564[U:1:1003216836]Steam profile ↗✓ No bans

1,097Tracked matches69%Win rate2023Tracked since

CSDB Rating6.1 SolidPassive Rifler

FaceitLevel 7 · 1,558 ELOTop 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim75

Positioning48

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWLWWLLLWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim7.5

Aggression4.3

Utility5.3

Positioning4.8

Opening Duels0.3

Clutch3.6

Excellent counter-strafingStrong 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, utility contribution.

Where you differ: lower opening-duel success; 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 46% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 636ms 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

Aim7.5

Positioning4.8

Utility5.3

Mechanics8.5

Opening Duels1.9

Win Impact10.0

Composite 6.1/10 (Solid), 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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time641ms−36ms

first ⅓ avg 676ms → last ⅓ avg 641ms

Headshot accuracy16.3%−1.4%

first ⅓ avg 17.7% → last ⅓ avg 16.3%

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

0.14Best rating — nuke 13–2

13–1Biggest win — cache

5Longest win streak

8–8In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 81% over 16dust2Weakest map · 22% over 18

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	26	13–13	50%	0.02
dust2	D	18	4–14	22%	-0.00
ancient	S	16	13–3	81%	0.01
inferno	S	11	8–3	73%	0.03
nuke	C	11	4–7	36%	0.04
anubis	B	8	4–4	50%	0.04
cache	A	7	4–3	57%	0.00
overpass	—	3	2–1	67%	0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

183Matches

55%Win rate

1.03Avg K/D

74.3ADR

45%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	46	41%	1.09	14.2
Inferno	30	53%	1.03	15.1
Ancient	27	52%	0.92	13.9
Anubis	26	85%	1.17	14.4
Dust2	25	48%	0.94	13.3
Nuke	16	56%	0.96	13.1
Vertigo	7	71%	1.17	17.7
Train	4	50%	1.08	15.5

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.

17.0%Headshot accuracy

36.4%Accuracy (enemy spotted)

37.1%Spray accuracy

88.1%Counter-strafing

8.7°Preaim

636msReaction time

17.0%T opening success

45.5%CT opening success

0.55Enemies flashed / flash

4.1%Flash assists

8.45HE damage / grenade

9.99Flashes / 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 16.9583% — below the 40% mark we flag

Spend your practice time on Dust 2

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.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	4–13	-0.00	18%	15 Aug →
cache	13–7	0.06	18%	15 Aug →
ancient	8–13	-0.07	15%	10 Jun →
cache	13–7	-0.00	15%	31 May →
inferno	16–13	0.00	14%	31 May →
cache	6–13	-0.06	9%	30 May →
dust2	9–13	0.01	33%	28 May →
dust2	8–13	0.02	27%	28 May →
mirage	13–4	0.08	21%	28 May →
mirage	13–11	0.03	8%	25 May →
dust2	11–13	-0.01	13%	23 May →
dust2	13–9	0.05	17%	23 May →
mirage	13–10	0.00	13%	19 May →
mirage	10–13	0.06	20%	17 May →
cache	13–1	0.03	30%	17 May →
mirage	13–5	-0.02	14%	16 May →
inferno	13–10	0.02	9%	16 May →
overpass	13–4	0.03	10%	16 May →
nuke	11–13	-0.05	15%	16 May →
ancient	13–7	0.02	27%	13 May →
ancient	13–10	-0.01	13%	13 May →
ancient	13–6	0.03	18%	12 May →
dust2	13–3	0.03	19%	12 May →
mirage	1–4	0.02	0%	12 May →
anubis	13–11	0.10	24%	12 May →
ancient	7–3	0.00	11%	11 May →
mirage	13–10	0.02	9%	11 May →
dust2	13–9	-0.01	20%	11 May →
nuke	13–2	0.14	22%	11 May →
mirage	15–15	0.08	18%	11 May →
dust2	7–13	-0.07	19%	10 May →
nuke	13–4	0.02	9%	10 May →
dust2	15–15	-0.03	9%	10 May →
dust2	11–13	0.00	14%	8 May →
ancient	13–9	-0.02	23%	8 May →
dust2	13–7	0.02	14%	8 May →
inferno	13–10	0.06	15%	6 May →
nuke	10–13	0.10	19%	6 May →
dust2	13–16	0.01	15%	6 May →
anubis	7–13	0.06	16%	6 May →
inferno	13–11	0.06	25%	6 May →
mirage	8–13	0.01	22%	6 May →
nuke	10–13	-0.00	21%	4 May →
ancient	13–8	-0.01	8%	4 May →
overpass	13–16	0.02	17%	4 May →
anubis	11–13	-0.04	9%	4 May →
cache	13–11	-0.04	27%	2 May →
mirage	16–12	-0.02	20%	2 May →
cache	11–13	0.05	18%	30 Apr →
mirage	13–10	0.03	27%	30 Apr →
anubis	1–7	-0.01	23%	30 Apr →
cache	10–13	-0.03	34%	29 Apr →
ancient	8–13	0.01	26%	28 Apr →
mirage	15–15	0.04	24%	28 Apr →
mirage	13–8	0.14	25%	28 Apr →
mirage	14–16	-0.02	24%	27 Apr →
ancient	16–12	-0.01	15%	27 Apr →
ancient	13–6	0.07	12%	24 Apr →
mirage	13–9	0.03	19%	23 Apr →
ancient	13–4	0.04	10%	22 Apr →
mirage	9–13	0.03	18%	21 Apr →
mirage	9–13	0.01	22%	14 Apr →
inferno	7–13	0.01	18%	5 Apr →
dust2	8–13	-0.04	14%	4 Apr →
dust2	11–13	0.01	15%	3 Apr →
anubis	7–13	0.06	16%	21 Mar →
anubis	13–8	0.06	25%	16 Mar →
mirage	13–9	-0.01	24%	16 Feb →
mirage	8–1	0.03	17%	14 Feb →
nuke	6–13	0.04	17%	11 Feb →
mirage	13–5	0.09	21%	10 Feb →
inferno	13–11	0.03	13%	9 Feb →
nuke	16–14	0.04	11%	8 Feb →
ancient	13–11	0.03	19%	8 Feb →
ancient	13–9	-0.04	13%	8 Feb →
inferno	12–16	0.03	17%	7 Feb →
dust2	10–13	-0.02	28%	7 Feb →
anubis	13–11	0.06	15%	7 Feb →
mirage	16–13	0.03	20%	5 Feb →
nuke	7–13	-0.03	17%	5 Feb →
nuke	4–13	0.09	16%	1 Feb →
overpass	13–8	0.03	10%	31 Jan →
inferno	13–4	0.01	12%	30 Jan →
mirage	7–13	0.02	21%	30 Jan →
ancient	13–4	0.07	16%	30 Jan →
inferno	13–3	0.01	22%	30 Jan →
inferno	13–5	0.05	15%	29 Jan →
dust2	4–13	-0.07	10%	29 Jan →
anubis	13–7	0.02	21%	28 Jan →
dust2	14–16	-0.01	14%	28 Jan →
mirage	0–13	-0.08	16%	28 Jan →
nuke	13–10	0.08	15%	28 Jan →
ancient	5–13	-0.01	23%	24 Jan →
dust2	10–13	0.01	29%	6 Jan →
mirage	8–13	-0.03	26%	6 Jan →
mirage	4–13	0.03	14%	26 Dec →
dust2	7–13	0.06	18%	26 Dec →
mirage	10–13	-0.03	26%	26 Dec →
ancient	13–8	0.11	16%	21 Dec →
nuke	9–13	0.02	14%	21 Dec →