Matter — CS2 Stats

76561198284456152[U:1:324190424]

805Tracked matches47%Win rate2020Tracked since

752Hours in CS

CSDB Rating4.9 Developing

Premier CS Rating19,529Purple band · top ~10.4% of ranked players (population est.)

CSDB Leaderboard#6195 of 12799 tracked

FaceitLevel 7Top 42.3% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim58

Positioning44

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWLLWLWLLWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim5.8

Aggression2.8

Utility5.3

Positioning4.4

Opening Duels0.1

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 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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

T-side openings. Opening success drops from 42% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 630ms 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

Aim5.8

Positioning4.4

Utility5.3

Mechanics6.3

Opening Duels1.5

Win Impact3.9

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-0.01−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.01

Reaction time626ms+9ms

first ⅓ avg 617ms → last ⅓ avg 626ms

Headshot accuracy18.1%−2.3%

first ⅓ avg 20.3% → last ⅓ avg 18.1%

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

0.15Best rating — nuke 13–2

13–2Biggest win — mirage

6Longest win streak

10–4In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 67% over 18infernoWeakest map · 38% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	23	10–13	43%	-0.02
ancient	S	18	12–6	67%	-0.01
nuke	B	18	9–9	50%	0.00
anubis	B	12	6–6	50%	0.01
inferno	C	8	3–5	38%	0.00
dust2	A	7	4–3	57%	-0.02
overpass	A	5	3–2	60%	0.01
cache	—	4	1–3	25%	0.01
train	—	4	2–2	50%	-0.01
vertigo	—	1	1–0	100%	-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

2,156,379Lifetime kills

32.71K/D · Top 1% of tracked players

2,254Matches

44.7%Match win rate

85.3%Headshot % · Top 1% of tracked players

40.7%Shot accuracy · Top 1% of tracked players

3,537MVPs

752Hours (in match)

1,816Bombs planted

455Bombs defused

Most-used weapons

AK-471,257,318

P2000 / USP-S414,165

Knife115,216

Desert Eagle80,256

AWP63,089

Galil AR56,321

SSG 0830,329

Sawed-Off21,810

Tec-921,464

Dual Berettas19,880

Lifetime map wins

3,278nuke

1,762dust2

1,581inferno

829vertigo

444train

64office

31italy

12cbble

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

Faceit stats

Combat

66Matches

53%Win rate

1.04Avg K/D

83.2ADR

55%Headshot %

Clutches & streaks

39%1v1 clutch win

44%1v2 clutch win

5Longest win streak

Recent Faceit resultsWWWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	15	60%	1.02	14.0
Ancient	15	40%	0.89	14.1
Anubis	13	54%	1.06	16.9
Nuke	11	36%	1.03	15.2
Inferno	5	80%	1.49	18.8
Vertigo	4	100%	1.31	18.8
Overpass	1	0%	0.65	11.0
Dust2	1	100%	0.64	9.0

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.

18.5%Headshot accuracy

29.8%Accuracy (enemy spotted)

30.6%Spray accuracy

78.5%Counter-strafing

8.4°Preaim

630msReaction time

19.1%T opening success

41.6%CT opening success

0.74Enemies flashed / flash

8.6%Flash assists

7.79HE damage / grenade

8.00Flashes / 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 19.0694% — 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.

38% win rate across 8 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
dust2	13–7	-0.02	11%	2 Jul →
anubis	9–13	0.02	20%	21 Jun →
ancient	4–13	0.01	10%	21 Jun →
ancient	13–11	-0.01	19%	17 Jun →
inferno	9–13	-0.07	9%	17 Jun →
nuke	13–5	-0.01	23%	17 Jun →
cache	11–13	0.01	20%	17 Jun →
mirage	14–16	0.03	9%	16 Jun →
inferno	13–6	0.09	18%	15 Jun →
anubis	13–11	-0.02	24%	8 Jun →
ancient	16–12	0.08	27%	5 Jun →
mirage	13–6	0.10	20%	5 Jun →
nuke	9–13	-0.03	30%	2 Jun →
overpass	11–6	0.02	17%	1 Jun →
mirage	8–13	-0.08	16%	1 Jun →
nuke	13–10	-0.00	21%	1 Jun →
ancient	5–13	-0.05	23%	1 Jun →
mirage	16–13	0.04	18%	1 Jun →
mirage	7–13	-0.05	17%	31 May →
inferno	8–13	0.01	12%	31 May →
ancient	14–16	-0.02	8%	31 May →
anubis	13–11	-0.01	16%	31 May →
overpass	13–4	0.05	27%	31 May →
train	8–13	-0.03	30%	31 May →
ancient	13–10	-0.02	21%	31 May →
train	9–13	-0.09	29%	31 May →
nuke	10–13	-0.08	25%	31 May →
mirage	5–13	0.04	15%	31 May →
ancient	6–13	-0.07	10%	31 May →
mirage	13–4	-0.06	15%	30 May →
nuke	13–9	0.00	8%	30 May →
anubis	9–13	-0.05	16%	30 May →
anubis	13–16	-0.04	13%	30 May →
inferno	9–5	0.03	19%	30 May →
dust2	1–10	-0.11	21%	30 May →
anubis	13–6	-0.01	42%	30 May →
nuke	13–5	0.01	38%	30 May →
ancient	13–11	0.01	8%	30 May →
ancient	13–10	-0.05	18%	30 May →
mirage	10–13	0.01	24%	30 May →
mirage	4–13	-0.03	20%	30 May →
anubis	7–13	-0.00	18%	30 May →
ancient	13–11	-0.02	17%	30 May →
inferno	7–13	-0.04	23%	28 May →
dust2	13–4	0.00	23%	28 May →
ancient	13–3	0.00	20%	28 May →
nuke	13–11	0.02	23%	28 May →
dust2	15–15	-0.01	21%	28 May →
mirage	13–11	-0.07	21%	28 May →
nuke	13–10	-0.03	24%	28 May →
inferno	13–9	0.01	19%	28 May →
mirage	13–2	0.03	14%	28 May →
overpass	5–13	-0.06	15%	28 May →
nuke	13–2	0.15	27%	28 May →
anubis	6–13	0.05	31%	24 May →
mirage	13–10	-0.04	15%	24 May →
mirage	5–13	-0.08	14%	23 May →
ancient	13–11	0.00	4%	23 May →
mirage	7–13	-0.06	16%	23 May →
nuke	12–12	0.01	31%	23 May →
mirage	10–13	-0.04	23%	23 May →
nuke	10–13	0.02	22%	18 May →
vertigo	13–11	-0.02	24%	18 May →
anubis	13–5	0.11	19%	18 May →
anubis	13–5	0.07	30%	18 May →
nuke	7–2	-0.00	0%	17 May →
cache	10–13	0.00	33%	17 May →
train	13–10	0.04	21%	17 May →
overpass	9–13	0.05	17%	17 May →
nuke	6–13	-0.04	28%	17 May →
dust2	2–13	-0.07	16%	17 May →
ancient	13–3	0.13	23%	17 May →
nuke	8–13	-0.03	23%	17 May →
cache	13–5	-0.02	15%	17 May →
cache	11–13	0.04	8%	17 May →
nuke	9–13	-0.01	23%	17 May →
mirage	12–12	-0.06	24%	17 May →
anubis	8–13	-0.04	20%	16 May →
nuke	10–13	0.07	22%	16 May →
ancient	13–9	-0.06	12%	16 May →
mirage	13–4	-0.00	19%	16 May →
nuke	13–5	0.08	26%	16 May →
dust2	13–4	0.01	48%	16 May →
mirage	13–9	0.01	28%	16 May →
overpass	16–12	0.00	21%	16 May →
inferno	9–13	-0.00	17%	15 May →
ancient	6–13	-0.03	19%	15 May →
mirage	13–6	0.02	16%	15 May →
dust2	13–8	0.04	21%	15 May →
mirage	12–12	-0.05	21%	15 May →
mirage	13–10	-0.02	16%	15 May →
ancient	8–13	-0.01	18%	15 May →
anubis	13–8	-0.02	24%	15 May →
ancient	5–1	0.01	13%	15 May →
mirage	10–13	-0.04	33%	15 May →
mirage	8–13	-0.06	15%	15 May →
nuke	6–13	-0.05	17%	14 May →
ancient	13–3	0.00	11%	10 May →
inferno	10–13	-0.02	22%	10 May →
train	13–11	0.04	13%	9 May →