Quad Merad — CS2 Stats

FR76561198272024426[U:1:311758698]Steam profile ↗✓ No bans

706Tracked matches46%Win rate2021Tracked since

CSDB Rating6.7 SolidPositional Player

WingmanLegendary Eagle

Ladder ranks via Leetify

Performance scores

Aim74

Positioning68

Utility58

0–100 skill scores via Leetify.

Recent form

STEADY52–41–7Last 10052%Win rateLLWLLWWWTW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −5.5pp headshot accuracy · −23ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

1–4 · 20% win rate
Avg rating -0.00
Avg headshot accuracy 19%
Avg reaction 700ms

Last 10

5–4–1 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 23%
Avg reaction 673ms

Last 20

10–9–1 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 26%
Avg reaction 684ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.2 against its own average).

Aim7.4

Utility5.8

Positioning6.8

Opening Duels4.1

Excellent counter-strafing

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like jL 87% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 650ms 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

Aim7.4

Positioning6.8

Utility5.8

Mechanics8.5

Opening Duels6.0

Win Impact3.8

Composite 6.7/10 (Solid), 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 rating0.02−0.00

first ⅓ avg 0.02 → last ⅓ avg 0.02

Reaction time649ms+35ms

first ⅓ avg 614ms → last ⅓ avg 649ms

Headshot accuracy24.7%+2.4%

first ⅓ avg 22.2% → last ⅓ avg 24.7%

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.

Personal bests

0.25Best match rating · 9–1 · inferno, 21 Oct →

48%Best headshot accuracy · 5–13 · dust2, 27 Sept →

391msFastest reaction time · 13–11 · office, 14 Oct →

13–1Biggest win · mirage, 24 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak

L2Current streak

6–7In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 67% over 12mirageWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	22	13–9	59%	0.02
dust2	B	17	8–9	47%	-0.01
mirage	C	12	5–7	42%	-0.00
vertigo	S	12	8–4	67%	0.04
office	C	9	4–5	44%	-0.01
cache	C	9	4–5	44%	0.00
nuke	B	8	4–4	50%	0.01
anubis	A	5	3–2	60%	0.00
ancient	—	4	1–3	25%	0.01
italy	—	1	1–0	100%	-0.01
train	—	1	1–0	100%	0.16

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 12). Start with the 5 essential Mirage 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.

24.7%Headshot accuracy

31.1%Accuracy (enemy spotted)

30.8%Spray accuracy

88.1%Counter-strafing

8.0°Preaim

650msReaction time

56.3%T opening success

51.6%CT opening success

0.63Enemies flashed / flash

5.5%Flash assists

10.88HE damage / grenade

5.24Flashes / match

Recommended for you

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.

42% win rate across 12 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
anubis	4–12	0.03	28%	31 Oct →
office	6–13	-0.08	9%	31 Oct →
inferno	13–6	-0.00	19%	31 Oct →
dust2	5–13	-0.04	17%	31 Oct →
inferno	3–13	0.09	24%	30 Oct →
inferno	13–4	-0.01	43%	29 Oct →
mirage	13–4	0.06	33%	29 Oct →
vertigo	13–7	0.07	22%	29 Oct →
ancient	12–12	0.02	14%	28 Oct →
dust2	13–4	-0.05	22%	28 Oct →
cache	13–5	0.02	32%	28 Oct →
office	11–13	0.08	29%	28 Oct →
office	13–4	0.06	26%	28 Oct →
office	9–13	-0.01	21%	28 Oct →
dust2	10–13	-0.01	32%	26 Oct →
nuke	9–13	-0.10	33%	26 Oct →
cache	13–7	0.01	33%	25 Oct →
dust2	11–13	0.02	29%	25 Oct →
ancient	13–6	0.03	15%	25 Oct →
inferno	8–1	0.04	36%	25 Oct →
mirage	13–1	0.02	21%	24 Oct →
inferno	13–8	0.13	15%	23 Oct →
mirage	7–13	0.05	28%	23 Oct →
inferno	11–13	0.12	31%	23 Oct →
cache	10–13	0.02	26%	23 Oct →
anubis	5–13	0.04	26%	22 Oct →
mirage	6–13	-0.01	17%	22 Oct →
ancient	11–13	-0.04	28%	22 Oct →
vertigo	9–7	0.09	29%	21 Oct →
inferno	13–6	0.02	25%	21 Oct →
dust2	12–12	-0.01	13%	21 Oct →
office	7–13	-0.05	15%	21 Oct →
vertigo	2–13	-0.02	20%	21 Oct →
mirage	3–13	-0.08	20%	21 Oct →
nuke	2–9	0.04	5%	21 Oct →
mirage	6–13	0.04	20%	21 Oct →
vertigo	13–8	0.10	29%	21 Oct →
cache	3–13	0.08	13%	21 Oct →
inferno	13–10	0.04	18%	21 Oct →
vertigo	3–9	-0.03	19%	21 Oct →
inferno	0–9	-0.21	20%	21 Oct →
inferno	9–1	0.25	33%	21 Oct →
vertigo	13–7	0.02	24%	15 Oct →
inferno	10–13	-0.02	20%	15 Oct →
inferno	13–2	-0.04	22%	14 Oct →
office	13–11	-0.02	18%	14 Oct →
anubis	13–7	-0.04	10%	14 Oct →
cache	5–13	-0.06	13%	14 Oct →
mirage	10–1	-0.05	20%	14 Oct →
inferno	11–13	0.00	11%	13 Oct →
ancient	9–13	0.03	24%	13 Oct →
inferno	9–5	0.08	19%	2 Oct →
inferno	6–9	-0.03	20%	1 Oct →
inferno	7–13	-0.08	15%	28 Sept →
dust2	13–10	-0.05	35%	28 Sept →
nuke	13–1	-0.02	29%	28 Sept →
cache	13–6	-0.05	30%	28 Sept →
dust2	13–6	0.01	15%	27 Sept →
inferno	13–5	0.05	37%	27 Sept →
vertigo	13–4	0.11	28%	27 Sept →
italy	13–2	-0.01	25%	27 Sept →
office	3–13	-0.07	13%	27 Sept →
dust2	9–13	-0.04	29%	27 Sept →
nuke	13–4	0.07	20%	27 Sept →
dust2	5–13	-0.12	48%	27 Sept →
mirage	10–13	-0.01	24%	26 Sept →
nuke	7–13	-0.00	22%	26 Sept →
dust2	9–13	0.00	33%	26 Sept →
nuke	13–2	0.05	17%	26 Sept →
train	13–6	0.16	15%	26 Sept →
vertigo	12–12	0.07	22%	26 Sept →
nuke	9–13	-0.01	18%	26 Sept →
inferno	5–13	-0.02	38%	26 Sept →
office	13–9	0.04	18%	25 Sept →
mirage	12–12	-0.07	17%	25 Sept →
vertigo	13–8	-0.01	21%	25 Sept →
anubis	13–5	-0.02	9%	24 Sept →
dust2	13–11	-0.02	13%	24 Sept →
vertigo	13–11	0.04	23%	24 Sept →
vertigo	12–12	-0.01	32%	23 Sept →
dust2	13–8	0.00	13%	23 Sept →
dust2	8–13	0.00	24%	22 Sept →
dust2	13–6	-0.01	18%	22 Sept →
cache	7–13	-0.01	20%	22 Sept →
inferno	13–8	-0.03	27%	22 Sept →
mirage	3–0	-0.03	13%	22 Sept →
cache	11–13	-0.03	20%	21 Sept →
dust2	13–4	0.07	32%	21 Sept →
vertigo	13–11	0.10	23%	21 Sept →
inferno	12–12	0.02	26%	21 Sept →
cache	13–7	0.05	30%	21 Sept →
anubis	13–2	-0.00	17%	21 Sept →
mirage	11–13	-0.08	24%	21 Sept →
inferno	13–4	0.00	32%	21 Sept →
office	13–4	-0.06	18%	20 Sept →
nuke	13–5	0.09	29%	20 Sept →
mirage	13–1	0.14	21%	20 Sept →
dust2	12–12	0.06	27%	20 Sept →
inferno	9–7	0.10	27%	20 Sept →
dust2	13–7	0.09	19%	18 Sept →