MiniZam — CS2 Stats

US76561198883484807[U:1:923219079]Steam profile ↗

675Tracked matches46%Win rate2022Tracked since

CSDB Rating3.5 Learning

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim34

Positioning39

Utility43

0–100 skill scores via Leetify.

Recent form

STEADY36–61–3Last 10036%Win rateLLWLLWWWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Aim3.4

Aggression2.6

Utility4.3

Positioning3.9

Opening Duels0.0

Clutch2.0

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 71% playstyle similarity

Most alike: opening-duel success, utility contribution.

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. 654ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim3.4

Positioning3.9

Utility4.3

Mechanics4.4

Opening Duels0.1

Win Impact3.8

Composite 3.5/10 (Learning), 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-0.03+0.01

first ⅓ avg -0.04 → last ⅓ avg -0.03

Reaction time650ms+33ms

first ⅓ avg 617ms → last ⅓ avg 650ms

Headshot accuracy12.8%−2.8%

first ⅓ avg 15.6% → last ⅓ avg 12.8%

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

0.08Best rating — mirage 11–13

13–0Biggest win — anubis

5Longest win streak

L2Current streak

8–10In matches decided by ≤2 rounds

18Overtime games

Map breakdown

overpassBest map · 63% over 8mirageWeakest map · 17% over 18

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	22	9–13	41%	-0.04
mirage	D	18	3–15	17%	-0.01
inferno	B	16	8–8	50%	-0.03
anubis	D	15	4–11	27%	-0.04
ancient	D	10	3–7	30%	-0.02
overpass	A	8	5–3	63%	-0.02
nuke	B	6	3–3	50%	-0.05
cache	—	4	1–3	25%	-0.03
train	—	1	0–1	0%	-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

106Matches

54%Win rate

0.78Avg K/D

56.8ADR

44%Headshot %

Clutches & streaks

30%1v1 clutch win

14%1v2 clutch win

4Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	21	62%	0.73	11.3
Cache	20	35%	0.82	11.8
Mirage	17	53%	0.69	9.8
Anubis	16	56%	0.87	10.3
Dust2	14	43%	0.71	10.6
Ancient	12	92%	0.97	12.6
Nuke	5	40%	0.68	10.4
Vertigo	1	0%	0.33	5.0

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.

13.2%Headshot accuracy

31.4%Accuracy (enemy spotted)

31.5%Spray accuracy

70.0%Counter-strafing

11.8°Preaim

654msReaction time

23.7%T opening success

30.9%CT opening success

0.56Enemies flashed / flash

2.8%Flash assists

5.90HE damage / grenade

5.13Flashes / 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.

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 13.215% — below the 15% mark we flag
Aim Training →
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 23.7076% — 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 18 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
inferno	11–13	-0.01	9%	23 Aug →
anubis	5–13	-0.01	11%	23 Aug →
inferno	13–10	-0.06	22%	22 Aug →
inferno	6–13	-0.06	19%	19 Aug →
anubis	4–13	-0.09	4%	12 Aug →
inferno	13–2	0.01	7%	2 Aug →
inferno	13–8	0.01	14%	28 Jul →
anubis	13–3	-0.03	16%	28 Jul →
dust2	16–19	-0.05	14%	28 Jul →
inferno	16–14	-0.04	14%	23 Jul →
nuke	11–13	-0.06	13%	14 Jul →
anubis	8–13	-0.03	8%	12 Jul →
dust2	11–13	-0.08	12%	9 Jul →
cache	15–15	-0.06	14%	9 Jul →
cache	13–7	0.01	17%	9 Jul →
anubis	5–13	-0.05	22%	9 Jul →
ancient	13–10	-0.03	13%	9 Jul →
nuke	13–11	-0.04	20%	4 Jul →
mirage	15–15	-0.03	12%	29 Jun →
ancient	7–13	-0.07	17%	28 Jun →
dust2	9–13	0.01	6%	28 Jun →
mirage	13–3	0.07	14%	15 Jun →
ancient	13–5	0.06	7%	15 Jun →
dust2	13–7	0.01	19%	14 Jun →
inferno	4–13	-0.07	14%	14 Jun →
inferno	13–10	-0.04	17%	14 Jun →
mirage	10–13	-0.09	7%	14 Jun →
anubis	13–0	0.01	8%	14 Jun →
nuke	9–13	-0.06	6%	14 Jun →
dust2	2–13	-0.02	19%	14 Jun →
overpass	13–7	-0.01	15%	14 Jun →
inferno	12–16	-0.06	0%	14 Jun →
ancient	9–13	0.03	12%	14 Jun →
anubis	3–13	-0.07	4%	14 Jun →
nuke	16–14	-0.02	10%	13 Jun →
mirage	10–13	0.01	13%	13 Jun →
anubis	13–16	0.01	7%	13 Jun →
mirage	11–13	-0.00	27%	13 Jun →
dust2	9–13	-0.05	10%	13 Jun →
overpass	13–3	0.05	20%	12 Jun →
dust2	16–13	0.01	23%	12 Jun →
inferno	16–14	-0.02	9%	12 Jun →
mirage	13–6	0.04	15%	12 Jun →
overpass	9–13	-0.04	13%	12 Jun →
overpass	4–13	-0.05	15%	11 Jun →
anubis	13–16	0.00	14%	10 Jun →
dust2	13–9	-0.03	11%	8 Jun →
mirage	10–13	-0.03	8%	7 Jun →
anubis	3–13	-0.04	19%	7 Jun →
overpass	16–12	-0.01	12%	5 Jun →
dust2	13–4	-0.03	15%	5 Jun →
nuke	16–14	-0.03	17%	4 Jun →
dust2	13–8	-0.03	30%	4 Jun →
inferno	13–6	-0.02	19%	4 Jun →
mirage	4–13	-0.01	13%	4 Jun →
dust2	13–5	-0.01	23%	3 Jun →
inferno	13–2	-0.01	11%	3 Jun →
dust2	11–13	-0.08	11%	3 Jun →
overpass	13–6	-0.00	25%	3 Jun →
mirage	11–13	0.08	24%	3 Jun →
ancient	6–13	-0.05	15%	1 Jun →
dust2	14–16	-0.05	16%	1 Jun →
anubis	10–13	0.00	15%	1 Jun →
ancient	13–6	-0.00	7%	31 May →
dust2	16–13	-0.06	20%	31 May →
anubis	10–13	-0.13	4%	31 May →
nuke	5–13	-0.08	17%	31 May →
anubis	13–9	-0.00	13%	29 May →
mirage	5–13	-0.03	18%	29 May →
dust2	16–14	-0.04	17%	29 May →
dust2	13–16	-0.04	13%	28 May →
ancient	11–13	-0.02	18%	28 May →
mirage	4–13	-0.03	25%	28 May →
inferno	2–13	-0.10	9%	28 May →
dust2	4–13	-0.06	29%	28 May →
cache	10–13	-0.03	12%	27 May →
mirage	13–9	-0.05	18%	27 May →
inferno	15–15	0.02	11%	27 May →
dust2	3–13	-0.03	27%	27 May →
mirage	3–13	0.01	14%	26 May →
overpass	3–13	-0.07	13%	26 May →
inferno	11–13	-0.03	11%	26 May →
ancient	13–16	0.00	14%	26 May →
dust2	9–13	-0.04	23%	26 May →
dust2	13–6	-0.09	15%	25 May →
train	9–13	-0.03	31%	25 May →
inferno	4–13	-0.02	29%	25 May →
anubis	13–11	-0.03	9%	25 May →
mirage	7–13	0.02	13%	25 May →
mirage	10–13	0.01	18%	24 May →
ancient	7–13	-0.07	18%	24 May →
overpass	13–11	-0.05	7%	24 May →
dust2	2–13	-0.09	9%	24 May →
mirage	2–13	-0.08	8%	24 May →
mirage	11–13	-0.10	15%	22 May →
ancient	8–13	-0.00	10%	22 May →
anubis	5–13	-0.08	9%	22 May →
dust2	7–13	-0.08	19%	22 May →
mirage	4–13	-0.04	8%	21 May →
cache	7–13	-0.02	15%	21 May →