温兹 — CS2 Stats

76561198253192670[U:1:292926942]

1,725Tracked matches43%Win rate2020Tracked since

CSDB Rating6.8 SolidAggressive Rifler

Premier CS Rating24,593Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.4% of ranked players (population est.)

CSDB Leaderboard#4384 of 27456 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim90

Positioning54

Utility68

0–100 skill scores via Leetify.

Recent form

COLD54–40–6Last 10054%Win rateWLLLLLLLLL

Last 10 vs previous 10: -60pp win rate · -0.01 avg rating

Player DNA

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

Aim9.0

Aggression6.6

Utility6.8

Positioning5.4

Opening Duels2.2

Clutch1.8

Sharp aimerExcellent counter-strafingStrong CT-side openerEffective 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 Twistzz 96% playstyle similarity

Most alike: opening-duel success, positioning 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 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 55% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 560ms 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

Aim9.0

Positioning5.4

Utility6.8

Mechanics8.6

Opening Duels3.1

Win Impact2.6

Composite 6.8/10 (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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time547ms−37ms

first ⅓ avg 584ms → last ⅓ avg 547ms

Headshot accuracy20.1%−1.2%

first ⅓ avg 21.3% → last ⅓ avg 20.1%

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

0.18Best rating — dust2 13–0

13–0Biggest win — dust2

5Longest win streak

8–11In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 62% over 21ancientWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	35	21–14	60%	0.03
inferno	A	22	12–10	55%	0.03
nuke	A	21	13–8	62%	0.02
anubis	C	7	3–4	43%	0.00
ancient	D	6	1–5	17%	-0.01
mirage	C	5	2–3	40%	0.04
overpass	—	4	2–2	50%	0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,279Matches

53%Win rate

1.25Avg K/D

89.7ADR

41%Headshot %

Clutches & streaks

29%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	7	57%	2.11	20.6
Inferno	6	33%	1.31	16.7
Anubis	4	75%	1.52	20.3
Dust2	3	67%	2.35	19.3
Mirage	3	0%	1.06	15.7
Nuke	2	100%	1.18	18.0
Vertigo	2	0%	1.06	18.0
Overpass	1	100%	1.29	18.0

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.

20.2%Headshot accuracy

38.8%Accuracy (enemy spotted)

40.0%Spray accuracy

88.5%Counter-strafing

7.1°Preaim

560msReaction time

22.7%T opening success

55.0%CT opening success

0.72Enemies flashed / flash

12.6%Flash assists

9.39HE damage / grenade

6.34Flashes / 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 22.705% — 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.

17% win rate across 6 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
inferno	13–7	0.06	29%	21 Mar →
overpass	1–13	-0.08	28%	2 Mar →
inferno	8–13	0.05	21%	25 Feb →
anubis	7–13	0.02	14%	25 Feb →
ancient	10–13	0.04	16%	24 Feb →
dust2	3–13	-0.02	15%	24 Feb →
dust2	0–3	-0.04	0%	21 Feb →
inferno	9–13	0.02	15%	21 Feb →
nuke	7–13	0.01	32%	21 Feb →
inferno	5–13	0.05	13%	21 Feb →
nuke	14–16	0.04	25%	21 Feb →
dust2	15–15	0.02	19%	20 Feb →
dust2	13–7	0.02	28%	20 Feb →
inferno	13–4	0.06	19%	20 Feb →
mirage	13–5	0.04	25%	20 Feb →
nuke	13–11	-0.04	17%	19 Feb →
nuke	13–5	0.05	25%	19 Feb →
inferno	11–13	0.02	17%	19 Feb →
mirage	13–6	0.01	45%	19 Feb →
inferno	16–13	-0.03	10%	19 Feb →
dust2	15–15	-0.02	16%	19 Feb →
inferno	13–9	0.02	11%	19 Feb →
dust2	13–7	-0.00	38%	19 Feb →
dust2	5–13	0.01	19%	19 Feb →
nuke	6–13	0.01	20%	19 Feb →
dust2	10–13	0.02	12%	19 Feb →
ancient	7–13	0.04	14%	19 Feb →
dust2	13–6	-0.00	20%	19 Feb →
inferno	13–9	0.03	19%	18 Feb →
dust2	10–13	-0.05	20%	18 Feb →
anubis	13–9	-0.02	11%	18 Feb →
nuke	11–13	-0.00	23%	18 Feb →
nuke	13–10	-0.00	29%	18 Feb →
dust2	14–16	-0.02	21%	18 Feb →
inferno	13–11	0.05	30%	18 Feb →
anubis	9–13	0.01	23%	16 Feb →
nuke	13–9	0.02	11%	16 Feb →
dust2	13–7	0.09	11%	16 Feb →
inferno	10–13	0.06	16%	16 Feb →
dust2	13–11	-0.00	22%	16 Feb →
nuke	13–5	0.06	16%	16 Feb →
dust2	13–9	0.05	21%	16 Feb →
nuke	8–13	0.00	8%	16 Feb →
dust2	13–1	0.10	22%	16 Feb →
anubis	13–9	0.05	14%	15 Feb →
inferno	11–13	-0.00	18%	15 Feb →
overpass	13–7	0.01	25%	15 Feb →
dust2	13–2	0.06	14%	15 Feb →
mirage	5–13	0.04	18%	15 Feb →
mirage	10–13	0.04	13%	13 Feb →
dust2	13–0	0.18	42%	13 Feb →
inferno	2–13	-0.02	8%	13 Feb →
inferno	13–4	0.07	19%	13 Feb →
inferno	5–2	0.03	12%	13 Feb →
nuke	13–7	0.08	35%	13 Feb →
dust2	5–13	-0.02	22%	13 Feb →
dust2	13–1	0.04	25%	13 Feb →
dust2	13–3	-0.01	19%	13 Feb →
inferno	15–15	0.05	20%	13 Feb →
inferno	15–15	-0.01	11%	12 Feb →
nuke	13–4	0.05	20%	12 Feb →
overpass	14–16	0.03	9%	12 Feb →
dust2	13–8	0.05	13%	12 Feb →
nuke	11–13	0.01	24%	12 Feb →
dust2	2–13	0.04	16%	12 Feb →
nuke	13–5	0.02	23%	11 Feb →
inferno	13–6	0.01	22%	11 Feb →
dust2	11–13	-0.04	17%	11 Feb →
dust2	13–8	0.04	46%	11 Feb →
ancient	5–13	-0.06	20%	9 Feb →
mirage	15–15	0.06	17%	9 Feb →
inferno	13–11	0.01	20%	9 Feb →
nuke	11–13	0.01	19%	9 Feb →
anubis	15–15	-0.05	10%	9 Feb →
inferno	13–11	0.06	21%	9 Feb →
dust2	16–14	0.00	25%	9 Feb →
dust2	13–6	0.09	20%	9 Feb →
dust2	13–5	0.03	27%	9 Feb →
dust2	6–13	0.07	23%	29 Jan →
dust2	8–13	-0.00	24%	29 Jan →
nuke	13–10	0.04	31%	28 Jan →
dust2	13–3	0.01	18%	28 Jan →
nuke	13–8	0.02	15%	28 Jan →
dust2	8–13	0.01	25%	28 Jan →
nuke	13–10	0.01	18%	28 Jan →
dust2	13–6	0.07	20%	28 Jan →
ancient	5–13	-0.08	19%	24 Jan →
overpass	13–6	0.07	24%	24 Jan →
ancient	13–11	0.00	8%	24 Jan →
ancient	11–13	-0.01	11%	23 Jan →
anubis	13–6	0.06	16%	23 Jan →
inferno	14–16	0.03	15%	22 Jan →
nuke	13–7	0.04	18%	22 Jan →
anubis	2–13	-0.05	13%	22 Jan →
nuke	8–13	-0.04	17%	22 Jan →
dust2	13–7	0.06	22%	22 Jan →
dust2	13–6	0.04	31%	21 Jan →
nuke	13–5	0.11	21%	21 Jan →
dust2	13–11	0.04	32%	21 Jan →
inferno	13–2	0.03	38%	21 Jan →