mjs — CS2 Stats

AU76561198026576014[U:1:66310286]Steam profile ↗✓ No bans

1,378Tracked matches43%Win rate2020Tracked since

CSDB Rating5.2 DevelopingHybrid Rifler

Premier CS Rating21,715Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.6% of ranked players (population est.)

Ladder ranks via Leetify

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Performance scores

Aim62

Positioning50

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLLLLWWLLWW

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

Player DNA

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

Aim6.2

Aggression6.9

Utility5.3

Positioning5.0

Opening Duels3.2

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 88% playstyle similarity

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

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. 578ms 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

Aim6.2

Positioning5.0

Utility5.3

Mechanics5.6

Opening Duels3.2

Win Impact2.6

Composite 5.2/10 (Developing), 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 rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time575ms+5ms

first ⅓ avg 571ms → last ⅓ avg 575ms

Headshot accuracy14.4%−0.7%

first ⅓ avg 15.2% → last ⅓ avg 14.4%

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

0.12Best rating — inferno 9–13

13–1Biggest win — inferno

4Longest win streak

L4Current streak

10–5In matches decided by ≤2 rounds

13Overtime games

Map breakdown

ancientBest map · 64% over 11dust2Weakest map · 35% over 20

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	20	7–13	35%	-0.02
mirage	A	20	12–8	60%	-0.02
anubis	C	14	6–8	43%	-0.02
inferno	A	13	8–5	62%	0.00
ancient	A	11	7–4	64%	-0.02
nuke	C	8	3–5	38%	-0.00
cache	C	5	2–3	40%	-0.03
train	—	3	1–2	33%	0.04
office	—	3	1–2	33%	-0.02
overpass	—	2	0–2	0%	0.03
shelter	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.4%Headshot accuracy

31.5%Accuracy (enemy spotted)

35.9%Spray accuracy

75.4%Counter-strafing

8.1°Preaim

578msReaction time

39.6%T opening success

46.3%CT opening success

0.69Enemies flashed / flash

7.9%Flash assists

10.05HE damage / grenade

8.37Flashes / 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 14.3658% — 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 39.6255% — below the 40% mark we flag

Spend your practice time on Dust 2

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

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	10–13	-0.02	21%	15 Aug →
anubis	10–13	0.02	11%	8 Aug →
anubis	14–16	-0.06	14%	8 Aug →
dust2	1–13	-0.15	22%	8 Aug →
mirage	13–9	-0.03	22%	8 Aug →
mirage	16–12	0.06	12%	8 Aug →
dust2	2–13	-0.05	15%	7 Aug →
anubis	4–13	-0.02	8%	7 Aug →
mirage	16–12	0.01	7%	5 Aug →
mirage	13–9	-0.02	18%	5 Aug →
inferno	16–13	0.02	6%	5 Aug →
inferno	13–3	0.06	15%	5 Aug →
dust2	8–13	-0.05	23%	5 Aug →
anubis	15–15	-0.04	11%	3 Aug →
inferno	5–13	-0.07	25%	28 Jul →
mirage	13–8	-0.01	16%	28 Jul →
mirage	5–13	-0.01	23%	26 Jul →
anubis	13–11	-0.01	19%	26 Jul →
cache	13–10	-0.04	12%	26 Jul →
shelter	5–0	-0.01	0%	24 Jul →
dust2	4–13	-0.03	11%	24 Jul →
nuke	11–13	0.01	18%	24 Jul →
ancient	5–13	0.01	25%	23 Jul →
dust2	10–13	-0.06	16%	21 Jul →
ancient	9–13	-0.04	4%	21 Jul →
nuke	12–12	0.04	13%	20 Jul →
ancient	5–13	-0.04	16%	20 Jul →
train	13–6	0.02	13%	20 Jul →
mirage	16–14	-0.04	16%	20 Jul →
inferno	9–13	-0.03	4%	20 Jul →
ancient	10–13	-0.04	10%	20 Jul →
dust2	9–13	0.01	23%	16 Jul →
ancient	13–11	-0.03	10%	16 Jul →
anubis	13–10	0.04	19%	15 Jul →
mirage	13–2	-0.04	21%	15 Jul →
nuke	13–9	-0.03	9%	15 Jul →
cache	1–13	-0.04	29%	15 Jul →
anubis	7–13	-0.00	14%	14 Jul →
mirage	6–13	-0.05	15%	14 Jul →
cache	11–13	-0.01	19%	14 Jul →
mirage	8–13	-0.07	0%	14 Jul →
cache	13–10	-0.03	9%	14 Jul →
inferno	13–8	0.02	7%	14 Jul →
dust2	16–14	-0.04	10%	13 Jul →
inferno	13–1	-0.01	11%	13 Jul →
dust2	1–13	-0.03	5%	13 Jul →
dust2	15–15	-0.03	19%	13 Jul →
mirage	13–7	0.07	15%	13 Jul →
mirage	16–13	-0.02	6%	13 Jul →
cache	9–13	-0.01	10%	12 Jul →
mirage	3–13	-0.01	7%	12 Jul →
mirage	2–13	-0.03	7%	12 Jul →
inferno	13–8	-0.06	14%	12 Jul →
mirage	1–13	-0.10	27%	12 Jul →
inferno	13–3	-0.04	15%	12 Jul →
anubis	13–11	-0.05	10%	12 Jul →
nuke	5–13	-0.05	11%	12 Jul →
inferno	13–9	-0.04	10%	12 Jul →
ancient	13–9	-0.04	10%	10 Jul →
ancient	11–4	-0.06	8%	9 Jul →
office	13–8	-0.02	19%	8 Jul →
office	0–13	-0.04	17%	8 Jul →
inferno	9–13	0.12	11%	8 Jul →
office	4–13	-0.00	15%	8 Jul →
dust2	13–5	0.03	13%	7 Jul →
train	5–13	0.04	19%	7 Jul →
dust2	5–13	-0.01	11%	7 Jul →
ancient	13–6	-0.02	6%	5 Jul →
ancient	13–2	0.00	23%	5 Jul →
ancient	13–7	-0.02	14%	5 Jul →
anubis	11–13	-0.01	11%	5 Jul →
mirage	13–9	-0.05	17%	2 Jul →
mirage	6–13	0.01	15%	1 Jul →
nuke	11–13	0.01	9%	1 Jul →
anubis	13–11	0.04	13%	29 Jun →
dust2	11–3	0.04	19%	29 Jun →
anubis	5–13	-0.05	24%	29 Jun →
anubis	13–10	-0.03	20%	29 Jun →
mirage	16–14	-0.03	8%	28 Jun →
dust2	1–13	-0.08	4%	28 Jun →
inferno	16–12	-0.02	7%	28 Jun →
anubis	1–13	-0.04	24%	28 Jun →
nuke	13–11	-0.04	11%	28 Jun →
ancient	13–11	0.03	10%	28 Jun →
dust2	13–4	-0.06	17%	28 Jun →
mirage	10–13	-0.05	15%	28 Jun →
anubis	13–11	-0.02	18%	28 Jun →
dust2	13–9	0.08	13%	28 Jun →
dust2	16–13	-0.00	11%	27 Jun →
nuke	13–4	0.05	25%	27 Jun →
dust2	0–13	0.00	18%	25 Jun →
overpass	3–13	-0.01	8%	25 Jun →
dust2	13–8	0.07	23%	24 Jun →
dust2	4–13	0.06	8%	24 Jun →
inferno	9–13	0.05	9%	24 Jun →
mirage	13–9	0.01	26%	19 Jun →
inferno	9–13	0.02	14%	19 Jun →
dust2	15–15	-0.04	24%	18 Jun →
train	6–13	0.05	26%	18 Jun →
overpass	4–13	0.07	14%	18 Jun →