Miodek — CS2 Stats

PL76561197998886943[U:1:38621215]Steam profile ↗✓ No bans

959Tracked matches47%Win rate2021Tracked since

CSDB Rating4.2 Developing

Premier CS Rating16,862Purple band · top ~21% of ranked players (population est.)

CSDB Leaderboard#30038 of 56584 tracked

WingmanLegendary Eagle

Ladder ranks via Leetify

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Performance scores

Aim44

Positioning32

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateWLLWLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim4.4

Aggression2.8

Utility5.4

Positioning3.2

Opening Duels0.0

Clutch4.4

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 71% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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

Reaction time. 665ms 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

Aim4.4

Positioning3.2

Utility5.4

Mechanics6.7

Opening Duels0.0

Win Impact3.9

Composite 4.2/10 (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-0.05−0.01

first ⅓ avg -0.04 → last ⅓ avg -0.05

Reaction time678ms−32ms

first ⅓ avg 710ms → last ⅓ avg 678ms

Headshot accuracy14.6%−1.7%

first ⅓ avg 16.2% → last ⅓ avg 14.6%

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

0.06Best rating — inferno 13–8

13–1Biggest win — dust2

3Longest win streak

7–5In matches decided by ≤2 rounds

12Overtime games

Map breakdown

mirageBest map · 57% over 7nukeWeakest map · 25% over 16

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	23	12–11	52%	-0.04
inferno	D	21	6–15	29%	-0.04
nuke	D	16	4–12	25%	-0.06
cache	B	16	8–8	50%	-0.03
anubis	A	11	6–5	55%	-0.05
mirage	A	7	4–3	57%	-0.02
ancient	D	6	2–4	33%	-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

495Matches

51%Win rate

0.89Avg K/D

68.4ADR

37%Headshot %

Clutches & streaks

42%1v1 clutch win

16%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	29	59%	0.76	11.5
Inferno	27	56%	0.97	13.7
Ancient	20	45%	0.70	12.0
Dust2	20	65%	0.91	10.4
Mirage	16	44%	0.80	13.1
Nuke	14	14%	0.74	12.1
Overpass	10	40%	0.78	12.7
Cache	5	80%	0.67	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.

14.7%Headshot accuracy

31.2%Accuracy (enemy spotted)

37.5%Spray accuracy

80.3%Counter-strafing

12.8°Preaim

665msReaction time

23.1%T opening success

25.8%CT opening success

0.53Enemies flashed / flash

6.3%Flash assists

10.05HE damage / grenade

7.13Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 12.833° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.7428% — below the 15% mark we flag
Aim Training →

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.

25% win rate across 16 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	13–9	-0.04	18%	17 Aug →
inferno	7–13	0.03	17%	17 Aug →
nuke	2–13	-0.05	9%	17 Aug →
dust2	13–4	-0.01	9%	16 Aug →
dust2	4–13	-0.09	28%	16 Aug →
cache	13–6	0.01	22%	16 Aug →
inferno	13–3	-0.07	17%	16 Aug →
anubis	16–12	-0.06	12%	16 Aug →
nuke	10–13	-0.11	8%	15 Aug →
inferno	13–7	-0.03	5%	15 Aug →
nuke	10–13	-0.09	12%	14 Aug →
cache	13–2	-0.02	11%	14 Aug →
inferno	6–13	-0.07	33%	14 Aug →
dust2	13–5	-0.07	8%	14 Aug →
inferno	5–13	-0.07	9%	13 Aug →
inferno	13–16	-0.12	14%	13 Aug →
dust2	13–7	-0.06	7%	12 Aug →
mirage	13–7	-0.03	20%	12 Aug →
ancient	8–13	0.03	8%	12 Aug →
inferno	11–13	-0.09	10%	12 Aug →
inferno	14–16	-0.03	19%	9 Aug →
dust2	4–13	-0.07	33%	9 Aug →
nuke	5–13	-0.05	22%	8 Aug →
anubis	13–4	-0.04	20%	8 Aug →
cache	16–14	0.03	11%	8 Aug →
dust2	16–13	-0.06	13%	8 Aug →
inferno	7–13	0.01	14%	6 Aug →
inferno	6–13	-0.08	6%	6 Aug →
anubis	10–13	0.02	11%	6 Aug →
nuke	13–10	-0.07	22%	6 Aug →
anubis	10–13	-0.08	4%	5 Aug →
anubis	4–13	-0.04	9%	5 Aug →
inferno	17–19	-0.03	19%	5 Aug →
cache	13–9	-0.04	9%	1 Aug →
nuke	10–13	-0.02	11%	1 Aug →
ancient	13–5	-0.02	10%	1 Aug →
dust2	9–13	-0.04	10%	27 Jul →
mirage	13–2	0.04	5%	27 Jul →
anubis	13–10	-0.02	15%	27 Jul →
nuke	9–13	-0.07	9%	27 Jul →
anubis	4–13	-0.12	14%	23 Jul →
ancient	13–11	-0.04	9%	23 Jul →
anubis	15–15	-0.07	13%	23 Jul →
ancient	8–13	-0.06	13%	23 Jul →
dust2	13–1	0.01	16%	23 Jul →
anubis	13–8	-0.08	5%	23 Jul →
mirage	13–4	-0.01	10%	23 Jul →
nuke	6–13	-0.06	32%	22 Jul →
cache	7–13	-0.08	13%	19 Jul →
inferno	13–8	0.06	16%	19 Jul →
dust2	3–13	-0.11	14%	19 Jul →
nuke	5–13	-0.04	16%	18 Jul →
cache	13–3	-0.06	30%	18 Jul →
dust2	15–15	-0.06	15%	18 Jul →
nuke	13–8	-0.09	12%	18 Jul →
anubis	13–11	-0.04	9%	18 Jul →
nuke	16–14	-0.04	14%	18 Jul →
cache	7–13	-0.07	12%	18 Jul →
cache	2–13	-0.08	0%	16 Jul →
ancient	7–13	-0.06	14%	16 Jul →
mirage	13–3	0.01	11%	16 Jul →
dust2	13–3	0.03	15%	16 Jul →
mirage	1–13	-0.10	11%	15 Jul →
nuke	7–13	-0.02	20%	15 Jul →
dust2	16–14	-0.00	17%	14 Jul →
cache	4–13	-0.02	23%	14 Jul →
nuke	5–13	-0.03	14%	14 Jul →
inferno	13–4	-0.03	24%	14 Jul →
inferno	5–13	-0.05	12%	14 Jul →
dust2	11–13	-0.01	16%	14 Jul →
cache	8–13	0.04	12%	13 Jul →
cache	5–13	-0.08	21%	13 Jul →
inferno	14–16	-0.04	21%	11 Jul →
dust2	13–9	-0.05	14%	11 Jul →
inferno	13–7	-0.05	13%	11 Jul →
inferno	13–6	-0.01	10%	11 Jul →
inferno	8–13	-0.07	12%	11 Jul →
cache	13–8	-0.05	14%	9 Jul →
dust2	4–13	-0.06	5%	9 Jul →
nuke	6–13	-0.04	24%	9 Jul →
nuke	13–1	-0.04	27%	9 Jul →
dust2	13–1	-0.02	21%	9 Jul →
inferno	3–13	-0.04	16%	9 Jul →
cache	16–14	-0.05	13%	9 Jul →
inferno	8–13	-0.02	5%	5 Jul →
dust2	13–11	-0.10	21%	5 Jul →
ancient	1–13	-0.04	7%	5 Jul →
cache	7–13	0.02	16%	5 Jul →
cache	1–13	-0.03	22%	4 Jul →
mirage	9–13	0.03	15%	4 Jul →
dust2	9–13	-0.04	14%	29 Jun →
inferno	6–13	-0.03	22%	29 Jun →
dust2	9–13	-0.07	31%	28 Jun →
anubis	13–2	0.04	11%	28 Jun →
cache	13–7	-0.07	17%	28 Jun →
nuke	8–13	-0.09	21%	27 Jun →
dust2	9–13	-0.01	10%	27 Jun →
dust2	8–13	-0.04	17%	27 Jun →
dust2	13–4	0.01	24%	26 Jun →
mirage	7–13	-0.09	9%	26 Jun →