Mick^ — CS2 Stats

DK76561198822773313[U:1:862507585]Steam profile ↗✓ No bans

4,392Tracked matches40%Win rate2020Tracked since

5,510Hours in CS18Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

Premier CS Rating20,546Top 50% of 29,473 CSDB-tracked playersPink band · top ~7.9% of ranked players (population est.)

CSDB Leaderboard#18377 of 51945 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=1,711), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 4 median	Level 5 median	vs Level 5
Headshot rate	36.5%	42.7%	44.0%	7.6% short
Shot accuracy	14.3%	10.8%	11.6%	above
Kill/death ratio	1.10	1.00	1.03	above
Match win rate	44.3%	44.1%	45.1%	meets

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim63

Positioning53

Utility72

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLLLLLWWWWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim6.3

Aggression7.6

Utility7.2

Positioning5.3

Opening Duels3.3

Effective 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 b1t 89% playstyle similarity

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

Where you differ: 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. 605ms 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

Aim6.3

Positioning5.3

Utility7.2

Mechanics5.7

Opening Duels3.3

Win Impact1.7

Composite 5.5/10 (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+0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time601ms−93ms

first ⅓ avg 694ms → last ⅓ avg 601ms

Headshot accuracy17.5%−1.4%

first ⅓ avg 18.9% → 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

0.21Best rating — cache 13–5

13–1Biggest win — ancient

7Longest win streak

L5Current streak

11–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 75% over 12infernoWeakest map · 48% over 33

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	33	16–17	48%	0.02
ancient	B	22	11–11	50%	-0.00
nuke	S	18	12–6	67%	0.02
cache	S	12	9–3	75%	0.03
mirage	B	8	4–4	50%	-0.00
anubis	B	6	3–3	50%	0.00
dust2	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (48% over 33). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

152,961Lifetime kills

1.10K/D · Top 50% of Level 4 players

7,903Matches

44.3%Match win rate · Top 50% of Level 4 players

36.5%Headshot %

14.3%Shot accuracy · Top 50% of Level 4 players

17,785MVPs

3,393Hours (in match)

7,713Bombs planted

2,133Bombs defused

Most-used weapons

AK-4732,950

M4A4 / M4A1-S27,672

AWP22,518

Desert Eagle10,757

P2000 / USP-S8,403

MP95,522

Glock-185,353

MAC-104,948

FAMAS3,581

Galil AR3,117

Lifetime map wins

23,310inferno

11,461nuke

2,897vertigo

1,954dust2

1,153train

361cbble

162office

136italy

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

Faceit stats

Combat

16Matches

38%Win rate

0.87Avg K/D

—ADR

32%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

2Longest win streak

Recent Faceit resultsWWLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Nuke	2	50%	0.88	12.5
Overpass	1	100%	1.21	17.0
Ancient	1	0%	1.05	21.0
Inferno	1	0%	1.24	21.0

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.

17.4%Headshot accuracy

40.4%Accuracy (enemy spotted)

40.6%Spray accuracy

75.9%Counter-strafing

14.1°Preaim

605msReaction time

37.7%T opening success

48.5%CT opening success

0.70Enemies flashed / flash

5.7%Flash assists

12.07HE damage / grenade

13.53Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.1019° — above the 12° mark we flag
Aim Training →

Spend your practice time on Inferno

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

48% win rate across 33 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	11–13	0.01	18%	29 Aug →
mirage	2–13	-0.03	18%	29 Aug →
inferno	9–13	-0.01	23%	29 Aug →
ancient	5–13	0.01	23%	29 Aug →
inferno	6–13	0.01	24%	28 Aug →
ancient	13–11	-0.01	21%	28 Aug →
inferno	13–9	-0.03	10%	28 Aug →
nuke	13–6	-0.00	23%	28 Aug →
inferno	13–7	0.02	21%	27 Aug →
cache	16–14	0.02	19%	27 Aug →
nuke	13–5	0.07	15%	27 Aug →
ancient	13–10	0.07	19%	26 Aug →
inferno	9–13	-0.00	17%	25 Aug →
nuke	11–13	-0.04	23%	21 Aug →
nuke	13–8	0.09	10%	21 Aug →
anubis	3–13	0.02	19%	20 Aug →
inferno	6–13	-0.01	13%	20 Aug →
mirage	9–13	0.04	20%	19 Aug →
nuke	13–8	0.07	13%	18 Aug →
dust2	13–6	0.01	14%	18 Aug →
ancient	9–13	-0.04	17%	18 Aug →
cache	13–3	0.02	11%	18 Aug →
inferno	7–13	0.01	17%	18 Aug →
inferno	3–13	0.03	10%	17 Aug →
nuke	8–13	0.01	19%	17 Aug →
ancient	8–13	-0.04	10%	17 Aug →
cache	7–13	-0.05	12%	15 Aug →
inferno	13–8	0.00	41%	15 Aug →
nuke	10–13	-0.02	0%	15 Aug →
nuke	9–13	0.01	21%	14 Aug →
ancient	13–1	0.01	15%	14 Aug →
inferno	13–5	0.08	15%	14 Aug →
inferno	9–13	0.05	26%	14 Aug →
inferno	10–13	0.07	10%	13 Aug →
cache	13–11	0.01	20%	13 Aug →
ancient	13–11	-0.01	6%	13 Aug →
anubis	9–13	-0.03	4%	12 Aug →
inferno	13–8	0.04	17%	12 Aug →
ancient	13–10	-0.01	10%	11 Aug →
inferno	6–13	-0.04	21%	11 Aug →
cache	13–6	-0.07	35%	11 Aug →
ancient	7–13	0.04	18%	10 Aug →
inferno	13–8	0.02	20%	10 Aug →
anubis	13–9	0.02	17%	9 Aug →
cache	13–11	-0.01	6%	9 Aug →
inferno	11–2	0.05	29%	9 Aug →
nuke	13–11	0.01	7%	9 Aug →
inferno	13–9	0.04	18%	8 Aug →
cache	16–13	0.03	18%	8 Aug →
nuke	11–13	-0.03	24%	8 Aug →
anubis	13–5	0.03	17%	8 Aug →
ancient	13–11	0.01	11%	8 Aug →
ancient	13–16	-0.04	15%	7 Aug →
inferno	13–8	-0.03	8%	7 Aug →
cache	13–5	0.21	17%	7 Aug →
ancient	13–11	0.04	7%	7 Aug →
ancient	5–13	-0.04	5%	6 Aug →
inferno	5–13	0.01	11%	6 Aug →
nuke	13–4	0.09	19%	6 Aug →
inferno	13–4	0.04	13%	5 Aug →
inferno	16–14	0.09	18%	5 Aug →
nuke	9–13	-0.03	25%	5 Aug →
mirage	13–7	-0.03	13%	5 Aug →
inferno	5–12	-0.06	23%	5 Aug →
ancient	2–13	-0.06	27%	5 Aug →
ancient	13–10	0.06	27%	4 Aug →
inferno	13–2	0.13	14%	4 Aug →
cache	7–13	0.01	40%	4 Aug →
nuke	13–9	0.06	15%	4 Aug →
inferno	13–11	0.02	16%	3 Aug →
nuke	13–9	0.00	19%	3 Aug →
inferno	10–13	-0.05	16%	3 Aug →
mirage	13–8	-0.01	23%	3 Aug →
cache	13–9	0.04	25%	2 Aug →
inferno	11–13	0.01	21%	2 Aug →
nuke	13–7	0.06	23%	2 Aug →
ancient	9–13	0.05	11%	1 Aug →
ancient	13–11	0.00	21%	1 Aug →
nuke	13–6	0.03	15%	1 Aug →
nuke	4–1	-0.05	21%	1 Aug →
cache	8–13	0.05	17%	29 Jul →
cache	13–10	0.04	23%	29 Jul →
anubis	8–13	-0.04	10%	29 Jul →
mirage	9–13	0.02	11%	28 Jul →
mirage	13–8	0.02	14%	28 Jul →
ancient	4–13	0.05	16%	28 Jul →
nuke	13–7	0.03	13%	27 Jul →
inferno	13–9	0.02	36%	27 Jul →
ancient	13–5	-0.01	14%	27 Jul →
inferno	10–13	-0.04	13%	27 Jul →
inferno	9–13	0.01	13%	26 Jul →
mirage	13–9	-0.02	20%	26 Jul →
ancient	13–8	-0.06	13%	26 Jul →
inferno	13–4	-0.02	26%	26 Jul →
mirage	13–16	-0.01	29%	26 Jul →
anubis	16–12	0.03	17%	25 Jul →
ancient	8–13	-0.01	15%	25 Jul →
inferno	13–5	0.03	16%	25 Jul →
inferno	15–15	0.01	21%	25 Jul →
ancient	7–13	-0.01	20%	24 Jul →