Misty — CS2 Stats

BG76561198158008047[U:1:197742319]Steam profile ↗✓ No bans

2,625Tracked matches57%Win rate2020Tracked since

1,921Hours in CS

CSDB Rating4.6 Developing

Premier CS Rating18,011Purple band · top ~16.4% of ranked players (population est.)

CSDB Leaderboard#10408 of 19427 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

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Performance scores

Aim50

Positioning53

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY50–43–7Last 10050%Win rateLWLLLWWLWT

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim5.0

Aggression6.0

Utility4.3

Positioning5.3

Opening Duels2.0

Clutch0.0

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 83% playstyle similarity

Most alike: opening-duel success, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 53% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim5.0

Positioning5.3

Utility4.3

Mechanics2.3

Opening Duels2.8

Win Impact7.4

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01

first ⅓ avg -0.01 → last ⅓ avg -0.00

Reaction time560ms−69ms

first ⅓ avg 629ms → last ⅓ avg 560ms

Headshot accuracy14.5%−1.5%

first ⅓ avg 16.0% → last ⅓ avg 14.5%

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

0.33Best rating — inferno 9–1

13–0Biggest win — dust2

6Longest win streak

11–4In matches decided by ≤2 rounds

14Overtime games

Map breakdown

anubisBest map · 58% over 12nukeWeakest map · 36% over 11

Map	Grade	Played	Record	Win rate	Avg rating
ancient	A	18	10–8	56%	0.00
mirage	A	18	10–8	56%	-0.02
cache	B	16	8–8	50%	-0.01
dust2	C	12	5–7	42%	-0.01
anubis	A	12	7–5	58%	-0.01
inferno	B	12	6–6	50%	0.01
nuke	C	11	4–7	36%	-0.01
office	—	1	0–1	0%	-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

84,986Lifetime kills

0.94K/D

4,601Matches

45.4%Match win rate

38.0%Headshot %

11.6%Shot accuracy

9,723MVPs

1,921Hours (in match)

5,953Bombs planted

1,317Bombs defused

Most-used weapons

AK-4722,883

AWP11,773

M4A4 / M4A1-S11,222

P2000 / USP-S4,877

Glock-183,891

Desert Eagle3,792

SSG 082,706

XM10142,575

Galil AR2,290

FAMAS1,741

Lifetime map wins

11,594dust2

4,765inferno

4,750nuke

1,893vertigo

1,240office

795train

164italy

152lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

137Matches

50%Win rate

1.01Avg K/D

57.4ADR

38%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

6Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	33	58%	1.02	12.6
Vertigo	32	47%	0.98	13.0
Anubis	22	32%	0.88	14.7
Inferno	18	44%	1.10	14.9
Dust2	9	67%	0.88	13.4
Ancient	9	56%	0.96	13.0
Nuke	6	67%	1.14	15.0
Overpass	4	75%	0.84	12.8

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.

15.1%Headshot accuracy

31.9%Accuracy (enemy spotted)

37.1%Spray accuracy

60.4%Counter-strafing

10.0°Preaim

549msReaction time

23.4%T opening success

52.5%CT opening success

0.51Enemies flashed / flash

3.3%Flash assists

6.69HE damage / grenade

10.53Flashes / 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 23.3539% — below the 40% mark we flag

Spend your practice time on Nuke

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	1–13	-0.09	15%	28 Aug →
cache	13–9	0.03	18%	28 Aug →
cache	4–13	-0.02	20%	28 Aug →
cache	10–13	0.03	11%	28 Aug →
dust2	8–13	-0.01	6%	28 Aug →
anubis	13–10	0.02	13%	26 Aug →
inferno	16–12	-0.03	7%	26 Aug →
nuke	8–13	0.03	18%	26 Aug →
inferno	13–9	0.04	16%	24 Aug →
dust2	15–15	-0.07	21%	16 Aug →
dust2	13–0	0.12	7%	16 Aug →
anubis	16–14	0.06	11%	14 Aug →
ancient	13–5	0.05	32%	13 Aug →
dust2	10–13	-0.05	7%	13 Aug →
nuke	13–8	0.10	8%	12 Aug →
ancient	13–6	0.06	8%	12 Aug →
mirage	8–13	-0.01	11%	12 Aug →
cache	7–13	-0.04	20%	12 Aug →
cache	13–8	-0.04	6%	11 Aug →
ancient	13–11	-0.06	13%	9 Aug →
ancient	9–13	-0.03	27%	8 Aug →
anubis	13–5	0.03	14%	7 Aug →
nuke	1–13	0.04	12%	7 Aug →
mirage	13–5	0.01	20%	7 Aug →
ancient	15–15	0.02	17%	7 Aug →
cache	13–11	0.04	15%	7 Aug →
anubis	8–13	-0.05	33%	7 Aug →
cache	6–13	-0.09	15%	7 Aug →
mirage	13–9	-0.01	16%	7 Aug →
dust2	13–11	-0.02	19%	6 Aug →
ancient	13–7	-0.06	8%	6 Aug →
mirage	16–12	0.01	12%	4 Aug →
inferno	5–13	-0.07	5%	3 Aug →
ancient	13–5	-0.03	19%	3 Aug →
nuke	13–11	-0.08	10%	2 Aug →
mirage	13–11	-0.03	21%	2 Aug →
mirage	13–6	-0.05	35%	2 Aug →
ancient	13–8	0.09	16%	2 Aug →
dust2	13–8	-0.03	29%	1 Aug →
anubis	15–15	-0.05	14%	1 Aug →
ancient	13–7	-0.04	14%	1 Aug →
mirage	10–13	-0.04	38%	1 Aug →
nuke	8–13	-0.01	14%	1 Aug →
mirage	13–6	-0.02	22%	1 Aug →
inferno	9–1	0.33	26%	1 Aug →
nuke	13–11	-0.05	23%	1 Aug →
ancient	13–7	0.05	10%	31 Jul →
ancient	9–13	0.06	14%	31 Jul →
ancient	8–13	0.03	17%	29 Jul →
nuke	15–15	-0.01	13%	29 Jul →
ancient	13–6	0.00	25%	27 Jul →
mirage	15–15	-0.06	18%	26 Jul →
ancient	5–13	-0.06	9%	26 Jul →
ancient	7–13	0.08	10%	26 Jul →
anubis	15–15	-0.04	10%	26 Jul →
anubis	13–11	0.01	16%	26 Jul →
mirage	5–13	-0.07	8%	26 Jul →
nuke	6–9	-0.10	27%	24 Jul →
ancient	16–14	0.00	18%	24 Jul →
anubis	13–11	-0.02	9%	24 Jul →
inferno	10–13	-0.03	3%	23 Jul →
nuke	8–13	-0.02	20%	23 Jul →
dust2	4–13	-0.07	33%	23 Jul →
office	4–13	-0.02	0%	22 Jul →
mirage	6–13	-0.07	0%	22 Jul →
cache	13–10	0.01	17%	22 Jul →
anubis	11–13	-0.06	18%	22 Jul →
dust2	13–8	-0.01	16%	22 Jul →
ancient	14–16	-0.07	15%	20 Jul →
cache	13–5	0.08	19%	20 Jul →
inferno	11–13	0.00	19%	20 Jul →
mirage	13–8	0.03	26%	18 Jul →
anubis	13–10	-0.02	2%	18 Jul →
cache	13–10	-0.01	12%	18 Jul →
mirage	10–13	0.03	24%	18 Jul →
dust2	10–13	-0.02	21%	18 Jul →
anubis	12–16	0.02	18%	17 Jul →
dust2	13–9	0.09	12%	17 Jul →
dust2	6–13	-0.02	16%	17 Jul →
cache	8–13	-0.02	14%	17 Jul →
nuke	13–9	0.02	17%	16 Jul →
cache	10–13	-0.06	17%	16 Jul →
mirage	3–13	-0.04	14%	16 Jul →
mirage	13–8	-0.04	7%	16 Jul →
cache	8–13	-0.03	6%	16 Jul →
inferno	9–13	-0.07	4%	16 Jul →
nuke	5–13	-0.05	13%	16 Jul →
mirage	13–8	-0.04	11%	16 Jul →
anubis	13–10	-0.01	29%	15 Jul →
inferno	13–5	0.09	28%	15 Jul →
cache	13–8	-0.01	31%	15 Jul →
inferno	8–13	-0.05	15%	15 Jul →
inferno	13–7	-0.02	20%	15 Jul →
cache	14–16	-0.05	12%	15 Jul →
mirage	13–4	0.01	10%	14 Jul →
ancient	15–15	-0.00	8%	10 Jul →
mirage	6–13	-0.00	7%	10 Jul →
inferno	13–11	-0.02	29%	9 Jul →
cache	13–5	0.03	22%	9 Jul →
inferno	9–13	-0.05	18%	9 Jul →