Matt — CS2 Stats

76561197979459582[U:1:19193854]Steam profile ↗

1,075Tracked matches63%Win rate2020Tracked since

1,764Hours in CS4Hrs last 2 wks

CSDB Rating4.5 Developing

Premier CS Rating13,275Blue band · top ~37.5% of ranked players (population est.)

CSDB Leaderboard#17720 of 26188 tracked

Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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	Blue band median	Purple band median	vs Purple band
Headshot rate	35.6%	41.7%	44.1%	8.5% short
Shot accuracy	13.3%	8.8%	11.4%	above
Kill/death ratio	1.10	0.97	1.03	above
Match win rate	39.1%	43.8%	45.2%	6.1% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

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Performance scores

Aim41

Positioning54

Utility11

0–100 skill scores via Leetify.

Recent form

HOT52–46–2Last 10052%Win rateWLLWWWWWWW

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

Player DNA

Aim4.1

Aggression9.0

Utility1.1

Positioning5.4

Opening Duels5.5

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 ropz 75% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. 69% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 69% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms 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

Aim4.1

Positioning5.4

Utility1.1

Mechanics4.9

Opening Duels5.5

Win Impact9.4

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.01

first ⅓ avg 0.03 → last ⅓ avg 0.01

Reaction time619ms−11ms

first ⅓ avg 631ms → last ⅓ avg 619ms

Headshot accuracy10.4%+2.5%

first ⅓ avg 8.0% → last ⅓ avg 10.4%

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

0.13Best rating — ancient 13–7

13–1Biggest win — inferno

9Longest win streak

8–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

nukeBest map · 71% over 24anubisWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
nuke	S	24	17–7	71%	0.04
inferno	C	19	8–11	42%	-0.00
mirage	B	17	8–9	47%	0.03
dust2	A	14	8–6	57%	0.02
ancient	A	11	6–5	55%	0.05
anubis	D	6	2–4	33%	0.03
cache	D	6	2–4	33%	-0.01
overpass	—	2	0–2	0%	0.05
train	—	1	1–0	100%	0.06

Across the last 100 tracked matches.

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

Lifetime stats

59,905Lifetime kills

1.10K/D · Top 25% of Blue band

3,440Matches

39.1%Match win rate

35.6%Headshot %

13.3%Shot accuracy · Top 50% of Blue band

6,056MVPs

1,048Hours (in match)

1,573Bombs planted

488Bombs defused

Most-used weapons

P9014,243

AK-475,827

M4A4 / M4A1-S4,762

AWP2,887

SSG 082,481

MP72,297

SG 5531,837

P2000 / USP-S1,721

P2501,700

Desert Eagle1,655

Lifetime map wins

4,791dust2

4,234nuke

3,063inferno

966train

654office

458cbble

450vertigo

177aztec

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

Skill profile

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

10.1%Headshot accuracy

35.7%Accuracy (enemy spotted)

41.4%Spray accuracy

72.0%Counter-strafing

14.3°Preaim

614msReaction time

35.4%T opening success

68.8%CT opening success

0.08Enemies flashed / flash

0.0%Flash assists

7.56HE damage / grenade

0.21Flashes / 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 14.2951° — above the 12° mark we flag
Aim Training →
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 10.0551% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.0841 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Anubis

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
train	13–5	0.06	4%	28 Aug →
nuke	9–13	-0.02	9%	14 Aug →
nuke	12–16	0.01	8%	14 Aug →
inferno	13–11	-0.06	7%	13 Aug →
mirage	13–4	0.11	19%	13 Aug →
nuke	13–7	0.07	11%	8 Aug →
ancient	13–11	0.08	6%	8 Aug →
dust2	13–5	0.10	12%	8 Aug →
mirage	13–11	0.06	10%	8 Aug →
anubis	13–9	0.03	8%	7 Aug →
nuke	13–4	-0.00	12%	7 Aug →
nuke	13–11	0.01	13%	31 Jul →
anubis	9–13	0.04	7%	31 Jul →
nuke	8–1	0.06	16%	31 Jul →
ancient	16–12	0.08	11%	30 Jul →
inferno	13–6	0.06	13%	28 Jul →
inferno	13–7	-0.04	7%	28 Jul →
inferno	13–10	0.02	3%	14 Jul →
nuke	13–6	0.01	9%	14 Jul →
dust2	3–13	-0.06	13%	14 Jul →
inferno	13–7	-0.04	15%	14 Jul →
nuke	12–4	0.11	11%	14 Jul →
cache	7–13	-0.01	12%	14 Jul →
dust2	9–13	-0.01	8%	14 Jul →
dust2	7–13	-0.02	15%	13 Jul →
mirage	7–13	0.01	10%	13 Jul →
dust2	10–13	-0.07	10%	13 Jul →
mirage	8–13	-0.03	15%	13 Jul →
cache	11–13	-0.07	10%	13 Jul →
cache	13–5	-0.04	9%	13 Jul →
inferno	13–7	-0.01	6%	13 Jul →
ancient	11–13	0.02	10%	13 Jul →
mirage	12–2	0.01	18%	13 Jul →
inferno	5–13	-0.03	11%	13 Jul →
cache	13–3	0.05	7%	12 Jul →
cache	9–13	-0.03	6%	12 Jul →
nuke	13–9	0.03	12%	12 Jul →
anubis	6–13	-0.02	10%	12 Jul →
dust2	13–7	0.04	14%	10 Jul →
cache	2–13	0.01	6%	10 Jul →
nuke	16–14	0.06	15%	10 Jul →
nuke	13–9	0.06	8%	1 Jul →
mirage	2–13	-0.05	10%	1 Jul →
nuke	13–9	0.03	10%	25 Jun →
ancient	15–15	0.06	7%	25 Jun →
inferno	7–13	0.05	5%	25 Jun →
nuke	13–9	0.00	9%	24 Jun →
ancient	13–8	0.08	8%	22 Jun →
ancient	16–14	0.07	8%	22 Jun →
inferno	13–1	0.02	6%	22 Jun →
nuke	5–13	0.06	11%	22 Jun →
ancient	7–1	0.09	23%	22 Jun →
overpass	13–16	0.06	9%	19 Jun →
mirage	13–16	-0.00	10%	19 Jun →
dust2	11–13	-0.04	7%	19 Jun →
dust2	13–4	0.05	12%	18 Jun →
nuke	11–13	0.04	7%	17 Jun →
inferno	5–13	-0.04	12%	15 Jun →
nuke	13–5	0.06	13%	15 Jun →
dust2	13–7	0.09	12%	15 Jun →
nuke	13–9	0.03	11%	14 Jun →
ancient	8–13	-0.04	6%	14 Jun →
inferno	5–13	-0.08	9%	14 Jun →
mirage	13–8	0.07	12%	12 Jun →
nuke	13–7	0.07	12%	12 Jun →
dust2	13–4	0.03	5%	11 Jun →
anubis	10–13	0.05	8%	11 Jun →
inferno	11–13	0.05	6%	11 Jun →
mirage	8–13	-0.00	10%	11 Jun →
ancient	13–7	0.13	4%	9 Jun →
mirage	13–8	0.03	8%	9 Jun →
nuke	9–13	-0.03	6%	7 Jun →
inferno	6–13	-0.05	13%	7 Jun →
inferno	11–13	0.02	6%	7 Jun →
nuke	10–13	-0.00	11%	7 Jun →
anubis	13–11	0.05	10%	7 Jun →
mirage	11–2	0.03	17%	2 Jun →
mirage	11–13	0.06	10%	2 Jun →
inferno	10–13	0.03	11%	1 Jun →
mirage	13–6	0.08	5%	1 Jun →
inferno	3–13	-0.02	6%	1 Jun →
ancient	4–13	-0.12	0%	31 May →
mirage	11–13	-0.01	6%	30 May →
mirage	13–4	0.11	10%	30 May →
dust2	3–13	0.10	13%	30 May →
inferno	15–15	-0.00	10%	30 May →
dust2	13–4	0.05	8%	30 May →
nuke	13–11	0.04	4%	30 May →
mirage	9–13	0.01	8%	30 May →
dust2	16–13	0.07	11%	29 May →
inferno	8–13	0.01	12%	29 May →
nuke	13–7	0.03	9%	23 May →
dust2	13–8	-0.02	6%	23 May →
ancient	6–13	0.07	4%	22 May →
inferno	13–7	0.06	6%	16 May →
mirage	5–13	-0.04	6%	16 May →
nuke	10–13	-0.00	5%	16 May →
nuke	13–5	0.12	6%	16 May →
anubis	11–13	0.00	7%	15 May →
overpass	9–13	0.04	9%	15 May →