wimanicesir — CS2 Stats

76561198113439572[U:1:153173844]Steam profile ↗✓ No bans

1,894Tracked matches50%Win rate2020Tracked since

CSDB Rating5.0 DevelopingHybrid Rifler

Premier CS Rating14,775Blue band · top ~29.6% of ranked players (population est.)

CSDB Leaderboard#11369 of 17343 tracked

FaceitLevel 5Top 67.6% of ranked FACEIT players

WingmanGold Nova Master

Ladder ranks via Leetify

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Performance scores

Aim67

Positioning53

Utility38

0–100 skill scores via Leetify.

Recent form

STEADY51–39–10Last 10051%Win rateLWWWLWLWWL

Last 10 vs previous 10: +20pp win rate · -0.00 avg rating

Player DNA

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

Aim6.7

Aggression8.3

Utility3.8

Positioning5.3

Opening Duels3.0

Clutch2.0

Limited 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 b1t 86% playstyle similarity

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

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

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.7

Positioning5.3

Utility3.8

Mechanics5.4

Opening Duels3.0

Win Impact5.0

Composite 5.0/10 (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 rating0.01+0.01

first ⅓ avg -0.01 → last ⅓ avg 0.01

Reaction time545ms−45ms

first ⅓ avg 589ms → last ⅓ avg 545ms

Headshot accuracy17.5%+2.0%

first ⅓ avg 15.5% → last ⅓ avg 17.5%

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

0.10Best rating — anubis 1–10

13–1Biggest win — dust2

6Longest win streak

7–5In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 60% over 5mirageWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	20	10–10	50%	-0.00
cache	A	18	10–8	56%	-0.01
anubis	B	15	8–7	53%	0.00
ancient	B	10	5–5	50%	-0.02
fachwerk	A	7	4–3	57%	0.01
mirage	D	6	1–5	17%	-0.00
nuke	A	5	3–2	60%	0.01
overpass	—	4	2–2	50%	0.02
vertigo	—	4	2–2	50%	0.01
shelter	—	3	3–0	100%	0.06
boulder	—	3	0–3	0%	0.03
train	—	2	2–0	100%	0.04
dust2	—	2	1–1	50%	0.01
eldorado	—	1	0–1	0%	-0.07

Across the last 100 tracked matches.

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

Faceit stats

Combat

732Matches

49%Win rate

0.81Avg K/D

61.9ADR

35%Headshot %

Clutches & streaks

30%1v1 clutch win

18%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	68	68%	0.99	14.2
Anubis	40	50%	0.80	11.7
Mirage	33	45%	0.75	11.2
Ancient	31	42%	0.79	12.4
Dust2	10	20%	0.79	10.4
Vertigo	9	44%	0.83	13.3
Nuke	8	50%	0.80	14.6
Overpass	7	57%	0.54	10.0

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.

17.6%Headshot accuracy

35.0%Accuracy (enemy spotted)

36.1%Spray accuracy

74.3%Counter-strafing

10.3°Preaim

544msReaction time

36.4%T opening success

47.3%CT opening success

0.36Enemies flashed / flash

2.5%Flash assists

14.98HE damage / grenade

3.28Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3626 — below the 0.5 mark we flag
Grenade Lineups →
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 36.3942% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
overpass	4–13	0.01	14%	27 Aug →
inferno	13–11	-0.03	22%	27 Aug →
train	13–11	0.04	15%	27 Aug →
nuke	13–4	0.01	22%	27 Aug →
mirage	9–13	-0.03	14%	26 Aug →
shelter	13–8	0.08	17%	26 Aug →
inferno	7–13	-0.05	10%	26 Aug →
anubis	13–6	-0.06	21%	26 Aug →
shelter	13–11	0.02	36%	23 Aug →
ancient	9–13	-0.02	12%	23 Aug →
cache	12–12	-0.02	21%	23 Aug →
anubis	13–4	0.03	9%	23 Aug →
anubis	12–12	0.02	21%	21 Aug →
cache	13–11	0.01	17%	21 Aug →
vertigo	13–11	0.04	9%	19 Aug →
inferno	13–9	0.03	17%	19 Aug →
dust2	3–13	-0.06	13%	17 Aug →
ancient	10–13	-0.02	21%	16 Aug →
inferno	2–9	0.02	14%	16 Aug →
anubis	3–13	-0.01	13%	16 Aug →
fachwerk	11–13	-0.00	27%	16 Aug →
fachwerk	8–13	-0.04	14%	15 Aug →
inferno	13–8	0.09	28%	15 Aug →
overpass	5–13	-0.02	16%	15 Aug →
cache	9–13	-0.00	9%	15 Aug →
cache	11–13	-0.05	21%	15 Aug →
dust2	13–1	0.08	9%	15 Aug →
fachwerk	13–10	0.00	16%	14 Aug →
cache	13–9	0.05	21%	14 Aug →
anubis	5–13	-0.01	15%	14 Aug →
fachwerk	13–7	0.01	21%	14 Aug →
mirage	13–8	0.06	19%	13 Aug →
overpass	13–7	0.01	24%	13 Aug →
cache	13–7	0.03	22%	13 Aug →
inferno	11–13	-0.06	22%	13 Aug →
boulder	5–13	-0.03	13%	12 Aug →
shelter	13–8	0.09	17%	12 Aug →
overpass	13–9	0.08	13%	10 Aug →
cache	13–8	0.08	25%	10 Aug →
inferno	12–12	-0.01	18%	10 Aug →
vertigo	9–6	0.08	17%	10 Aug →
boulder	12–12	0.06	13%	9 Aug →
mirage	12–12	0.03	17%	9 Aug →
fachwerk	12–12	-0.02	22%	8 Aug →
ancient	13–1	0.04	23%	8 Aug →
anubis	13–5	-0.01	17%	8 Aug →
nuke	13–6	0.01	23%	8 Aug →
anubis	6–1	-0.03	8%	8 Aug →
boulder	9–13	0.06	20%	8 Aug →
train	13–10	0.04	17%	8 Aug →
inferno	9–5	0.06	17%	8 Aug →
cache	13–4	-0.00	23%	7 Aug →
inferno	13–9	0.00	13%	7 Aug →
fachwerk	13–7	0.03	20%	6 Aug →
inferno	8–13	-0.01	23%	6 Aug →
cache	13–8	-0.03	24%	5 Aug →
fachwerk	13–5	0.09	27%	5 Aug →
vertigo	7–13	-0.04	11%	5 Aug →
anubis	2–13	-0.07	3%	5 Aug →
ancient	8–2	-0.07	8%	5 Aug →
nuke	11–13	0.08	20%	2 Aug →
anubis	0–6	-0.02	43%	2 Aug →
vertigo	7–13	-0.03	23%	2 Aug →
cache	15–15	0.00	18%	1 Aug →
inferno	4–13	-0.01	14%	1 Aug →
anubis	13–4	0.02	8%	1 Aug →
cache	7–13	-0.02	20%	1 Aug →
inferno	5–13	-0.01	9%	1 Aug →
anubis	13–7	0.03	21%	31 Jul →
cache	13–11	-0.04	23%	31 Jul →
cache	13–6	-0.01	14%	31 Jul →
anubis	16–13	0.02	14%	30 Jul →
ancient	13–4	-0.02	8%	30 Jul →
ancient	13–6	0.07	12%	30 Jul →
mirage	8–13	0.00	27%	30 Jul →
cache	13–5	-0.00	16%	29 Jul →
inferno	12–12	0.04	36%	29 Jul →
nuke	5–13	0.00	26%	29 Jul →
inferno	13–10	0.01	9%	29 Jul →
mirage	4–13	-0.04	12%	29 Jul →
anubis	10–13	-0.02	23%	28 Jul →
anubis	1–10	0.10	6%	27 Jul →
inferno	13–3	0.04	5%	27 Jul →
ancient	15–15	-0.08	16%	27 Jul →
eldorado	4–9	-0.07	19%	27 Jul →
inferno	9–5	-0.10	13%	27 Jul →
nuke	13–11	-0.05	19%	24 Jul →
anubis	13–8	0.06	9%	24 Jul →
inferno	13–7	-0.01	14%	23 Jul →
inferno	10–13	-0.01	20%	23 Jul →
cache	13–16	-0.04	25%	23 Jul →
cache	6–13	0.01	16%	23 Jul →
ancient	13–7	-0.01	9%	20 Jul →
inferno	13–10	0.03	8%	20 Jul →
cache	15–15	-0.05	13%	20 Jul →
ancient	8–13	-0.06	22%	20 Jul →
inferno	7–13	-0.03	8%	20 Jul →
mirage	14–16	-0.05	14%	20 Jul →
ancient	13–16	-0.04	20%	19 Jul →
cache	9–0	0.01	8%	19 Jul →