ItsameMari0 — CS2 Stats

76561197970383827[U:1:10118099]

6,447Tracked matches50%Win rate2020Tracked since

CSDB Rating4.9 Developing

FaceitLevel 10 · 2,289 ELOTop 12.4% of ranked FACEIT players

WingmanMaster Guardian II

Ladder ranks via Leetify

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Performance scores

Aim48

Positioning58

Utility67

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateLLWWWWWLWL

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

Aim4.8

Aggression5.3

Utility6.7

Positioning5.8

Opening Duels1.7

Clutch3.8

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 88% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

Strengths

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 47% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 562ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.8

Positioning5.8

Utility6.7

Mechanics4.0

Opening Duels2.1

Win Impact5.0

Composite 4.9/10 (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 time556ms−36ms

first ⅓ avg 592ms → last ⅓ avg 556ms

Headshot accuracy16.1%+0.2%

first ⅓ avg 15.9% → last ⅓ avg 16.1%

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

0.17Best rating — cache 13–3

13–0Biggest win — dust2

5Longest win streak

L2Current streak

11–10In matches decided by ≤2 rounds

12Overtime games

Map breakdown

nukeBest map · 74% over 19infernoWeakest map · 17% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	19	14–5	74%	0.02
ancient	B	19	9–10	47%	-0.00
cache	C	17	7–10	41%	-0.00
anubis	B	15	8–7	53%	0.01
dust2	C	9	4–5	44%	0.01
inferno	D	6	1–5	17%	-0.03
vertigo	D	6	2–4	33%	0.02
mirage	—	3	1–2	33%	-0.02
poseidon	—	2	0–2	0%	-0.04
shelter	—	2	0–2	0%	-0.03
eldorado	—	1	0–1	0%	0.12
train	—	1	0–1	0%	0.00

Across the last 100 tracked matches.

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

Faceit stats

Combat

5,253Matches

50%Win rate

1.22Avg K/D

81.1ADR

33%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

11Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	436	53%	1.18	17.3
Nuke	387	56%	1.15	16.9
Anubis	308	45%	1.11	16.5
Overpass	153	58%	1.19	17.1
Train	143	45%	1.09	16.4
Cache	64	34%	1.02	14.4
Dust2	61	31%	0.98	14.6
Vertigo	57	51%	1.09	16.0

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.

16.5%Headshot accuracy

30.5%Accuracy (enemy spotted)

32.3%Spray accuracy

68.0%Counter-strafing

10.7°Preaim

562msReaction time

27.0%T opening success

46.7%CT opening success

0.84Enemies flashed / flash

9.9%Flash assists

10.27HE damage / grenade

6.47Flashes / 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 27.0304% — below the 40% mark we flag

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.

17% win rate across 6 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	7–13	-0.04	16%	27 Aug →
anubis	8–13	0.06	15%	27 Aug →
nuke	16–14	-0.06	17%	25 Aug →
dust2	13–11	-0.04	15%	25 Aug →
cache	13–2	-0.03	35%	25 Aug →
ancient	16–12	0.05	28%	25 Aug →
inferno	13–8	0.01	5%	24 Aug →
cache	6–13	-0.07	16%	24 Aug →
nuke	13–6	0.03	13%	24 Aug →
ancient	7–13	-0.06	6%	24 Aug →
dust2	6–13	-0.06	19%	23 Aug →
cache	13–6	-0.01	13%	23 Aug →
anubis	5–13	-0.04	10%	23 Aug →
ancient	13–16	-0.03	18%	23 Aug →
ancient	1–13	-0.08	30%	19 Aug →
nuke	7–13	0.11	14%	19 Aug →
anubis	8–13	-0.03	21%	19 Aug →
cache	13–4	0.02	13%	19 Aug →
ancient	13–9	-0.00	17%	19 Aug →
nuke	8–13	-0.01	14%	19 Aug →
dust2	11–13	0.07	19%	18 Aug →
nuke	11–13	-0.01	16%	18 Aug →
cache	13–8	0.09	19%	18 Aug →
anubis	13–9	0.01	12%	18 Aug →
nuke	13–2	0.05	16%	18 Aug →
ancient	14–16	0.01	22%	17 Aug →
anubis	13–6	0.02	21%	17 Aug →
cache	13–11	-0.02	18%	17 Aug →
vertigo	7–13	-0.07	8%	17 Aug →
nuke	13–3	0.03	8%	17 Aug →
dust2	16–14	-0.01	8%	16 Aug →
anubis	13–11	0.06	13%	16 Aug →
cache	11–13	-0.03	19%	16 Aug →
nuke	8–13	0.03	18%	16 Aug →
eldorado	6–9	0.12	14%	16 Aug →
poseidon	3–9	-0.02	33%	16 Aug →
nuke	13–10	-0.01	15%	16 Aug →
dust2	13–7	0.02	20%	16 Aug →
anubis	13–8	0.09	7%	16 Aug →
train	11–13	0.00	17%	16 Aug →
inferno	13–16	-0.03	12%	15 Aug →
anubis	13–6	-0.03	14%	15 Aug →
nuke	13–10	-0.02	8%	15 Aug →
dust2	8–13	0.03	17%	15 Aug →
vertigo	9–13	0.08	11%	15 Aug →
inferno	9–13	-0.01	9%	15 Aug →
cache	10–13	-0.00	16%	15 Aug →
anubis	5–13	-0.04	7%	13 Aug →
cache	17–19	0.02	7%	13 Aug →
anubis	13–6	0.00	13%	13 Aug →
ancient	10–13	-0.03	10%	13 Aug →
cache	9–13	-0.07	14%	13 Aug →
nuke	16–14	0.03	12%	12 Aug →
ancient	13–7	0.04	20%	12 Aug →
ancient	1–13	0.00	21%	12 Aug →
poseidon	5–9	-0.06	31%	12 Aug →
dust2	13–16	-0.04	17%	11 Aug →
ancient	13–5	0.09	19%	11 Aug →
ancient	7–13	-0.02	23%	11 Aug →
ancient	13–9	0.01	11%	11 Aug →
anubis	9–13	0.05	10%	11 Aug →
cache	12–12	0.04	13%	11 Aug →
nuke	2–13	0.00	15%	11 Aug →
shelter	5–13	-0.06	18%	10 Aug →
ancient	13–5	0.05	16%	10 Aug →
ancient	19–17	-0.02	13%	10 Aug →
vertigo	4–13	-0.05	21%	10 Aug →
cache	10–13	0.01	14%	6 Aug →
vertigo	11–13	0.04	25%	6 Aug →
vertigo	13–11	0.01	8%	6 Aug →
ancient	13–6	0.10	12%	6 Aug →
cache	13–3	0.17	32%	6 Aug →
nuke	13–2	0.04	10%	5 Aug →
ancient	14–16	-0.00	14%	5 Aug →
anubis	7–13	-0.02	13%	5 Aug →
cache	13–8	-0.04	6%	5 Aug →
vertigo	13–9	0.11	16%	5 Aug →
dust2	9–13	0.04	13%	4 Aug →
inferno	11–13	0.01	22%	4 Aug →
dust2	13–0	0.05	27%	4 Aug →
nuke	13–8	0.04	15%	3 Aug →
cache	5–13	-0.05	21%	3 Aug →
anubis	13–7	-0.03	6%	3 Aug →
mirage	9–13	-0.05	18%	3 Aug →
anubis	8–13	-0.04	6%	3 Aug →
anubis	13–11	0.03	15%	2 Aug →
nuke	13–8	-0.01	11%	2 Aug →
cache	5–13	-0.01	16%	2 Aug →
shelter	8–13	0.00	14%	29 Jul →
nuke	16–14	0.03	13%	29 Jul →
cache	11–13	-0.03	15%	29 Jul →
nuke	13–6	0.08	13%	29 Jul →
mirage	13–7	0.02	33%	29 Jul →
inferno	1–13	-0.10	15%	28 Jul →
ancient	13–10	-0.04	15%	28 Jul →
ancient	9–13	-0.06	22%	28 Jul →
nuke	13–4	0.08	20%	28 Jul →
ancient	8–13	-0.00	23%	28 Jul →
nuke	13–11	0.01	11%	27 Jul →
mirage	4–13	-0.04	12%	27 Jul →