quentin — CS2 Stats

76561198449731356[U:1:489465628]Steam profile ↗

2,280Tracked matches55%Win rate2020Tracked since

6,222Hours in CS14Hrs last 2 wks

CSDB Rating6.2 SolidAggressive Rifler

WingmanSupreme Master First Class

Ladder ranks via Leetify

Performance scores

Aim75

Positioning59

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWWTLLLLWWW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.5

Aggression8.8

Utility4.9

Positioning5.9

Opening Duels4.3

Clutch3.6

Strong CT-side opener

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 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher 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

Strengths

CT openings. 61% 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 61% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 585ms 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

Aim7.5

Positioning5.9

Utility4.9

Mechanics6.3

Opening Duels4.3

Win Impact6.7

Composite 6.2/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time568ms+19ms

first ⅓ avg 549ms → last ⅓ avg 568ms

Headshot accuracy25.0%+4.8%

first ⅓ avg 20.2% → last ⅓ avg 25.0%

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

0.26Best rating — overpass 9–0

13–0Biggest win — cache

10Longest win streak

W2Current streak

2–11In matches decided by ≤2 rounds

5Overtime games

Map breakdown

overpassBest map · 88% over 8nukeWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	20	12–8	60%	0.00
inferno	C	19	7–12	37%	0.00
cache	D	13	4–9	31%	-0.00
dust2	A	11	6–5	55%	0.03
ancient	B	8	4–4	50%	-0.00
overpass	S	8	7–1	88%	0.03
nuke	D	7	1–6	14%	0.01
office	—	3	1–2	33%	0.06
anubis	—	3	3–0	100%	0.01
vertigo	—	2	2–0	100%	0.02
fachwerk	—	1	0–1	0%	0.13
train	—	1	1–0	100%	0.10
sanctum	—	1	0–1	0%	-0.07
italy	—	1	1–0	100%	0.04
warden	—	1	1–0	100%	0.15
poseidon	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

121,771Lifetime kills

1.10K/D · Top 50% of tracked players

4,492Matches

46.7%Match win rate · Top 50% of tracked players

59.5%Headshot % · Top 10% of tracked players

12.1%Shot accuracy

11,063MVPs

4,033Hours (in match)

3,024Bombs planted

1,391Bombs defused

Most-used weapons

AK-4752,225

M4A4 / M4A1-S14,050

AWP12,306

Desert Eagle10,255

P2000 / USP-S8,355

Glock-184,651

SSG 082,772

MP92,765

MAC-101,947

Galil AR1,832

Lifetime map wins

8,295inferno

5,001dust2

4,009nuke

2,314vertigo

1,657train

391office

253cbble

151lake

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

Faceit stats

Combat

915Matches

52%Win rate

1.06Avg K/D

82.1ADR

46%Headshot %

Clutches & streaks

38%1v1 clutch win

18%1v2 clutch win

9Longest win streak

Recent Faceit resultsLLLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	153	49%	1.06	15.5
Ancient	87	56%	1.08	17.1
Inferno	75	47%	1.19	16.4
Dust2	67	52%	1.02	15.5
Nuke	40	55%	1.05	15.7
Anubis	30	30%	0.92	15.2
Overpass	26	58%	1.10	17.1
Vertigo	8	38%	0.84	15.3

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.

24.2%Headshot accuracy

34.2%Accuracy (enemy spotted)

37.4%Spray accuracy

78.5%Counter-strafing

10.0°Preaim

585msReaction time

32.8%T opening success

61.2%CT opening success

0.41Enemies flashed / flash

1.6%Flash assists

10.97HE damage / grenade

7.14Flashes / 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.

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 0.4129 — below the 0.5 mark we flag
Grenade Lineups →
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 32.842% — below the 40% mark we flag

Spend your practice time on Nuke

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	13–5	-0.02	14%	24 Aug →
overpass	13–10	-0.02	33%	24 Aug →
cache	12–12	-0.09	14%	23 Aug →
cache	4–9	0.01	24%	20 Aug →
nuke	8–13	0.08	17%	20 Aug →
inferno	11–13	-0.03	11%	16 Aug →
office	2–5	-0.02	67%	16 Aug →
cache	13–6	0.08	23%	16 Aug →
dust2	13–9	0.08	29%	16 Aug →
inferno	13–7	-0.00	26%	16 Aug →
mirage	13–2	0.04	27%	16 Aug →
cache	13–0	0.04	43%	16 Aug →
vertigo	13–8	0.05	38%	16 Aug →
mirage	13–10	0.01	17%	15 Aug →
cache	6–13	-0.01	27%	15 Aug →
inferno	4–7	-0.01	17%	14 Aug →
inferno	13–6	0.11	28%	11 Aug →
cache	6–13	-0.03	19%	10 Aug →
inferno	13–1	0.06	31%	9 Aug →
mirage	13–6	-0.03	27%	6 Aug →
inferno	7–13	0.02	30%	2 Aug →
mirage	8–13	0.01	20%	1 Aug →
mirage	9–13	-0.02	17%	29 Jul →
cache	13–10	0.03	17%	28 Jul →
cache	13–8	0.00	23%	26 Jul →
mirage	4–13	-0.02	37%	26 Jul →
dust2	13–5	0.06	25%	25 Jul →
inferno	13–4	-0.02	24%	25 Jul →
nuke	0–2	-0.08	0%	25 Jul →
cache	9–13	0.02	20%	18 Jul →
mirage	15–15	-0.00	24%	16 Jul →
inferno	9–13	0.07	24%	12 Jul →
dust2	13–8	0.03	31%	12 Jul →
fachwerk	6–4	0.13	10%	11 Jul →
overpass	13–8	-0.01	18%	11 Jul →
anubis	16–12	-0.03	27%	10 Jul →
mirage	13–8	-0.03	21%	8 Jul →
mirage	13–6	0.02	22%	8 Jul →
mirage	13–8	-0.01	15%	8 Jul →
mirage	13–6	0.08	22%	8 Jul →
overpass	13–4	0.02	28%	8 Jul →
dust2	13–8	-0.04	33%	5 Jul →
ancient	13–2	0.03	21%	5 Jul →
anubis	13–10	0.04	23%	4 Jul →
dust2	8–13	0.12	19%	2 Jul →
ancient	13–5	0.02	16%	28 Jun →
overpass	9–13	0.03	23%	28 Jun →
mirage	13–10	-0.04	26%	28 Jun →
cache	6–13	-0.05	17%	28 Jun →
dust2	7–13	0.00	16%	28 Jun →
dust2	6–13	-0.00	26%	27 Jun →
nuke	12–12	0.03	15%	27 Jun →
train	13–0	0.10	28%	27 Jun →
office	13–3	0.12	32%	27 Jun →
nuke	4–13	-0.03	11%	27 Jun →
mirage	6–13	-0.04	16%	26 Jun →
mirage	14–16	-0.02	25%	23 Jun →
cache	11–13	-0.07	8%	21 Jun →
overpass	13–10	-0.02	17%	19 Jun →
mirage	13–8	0.03	20%	19 Jun →
mirage	13–5	0.02	18%	16 Jun →
office	2–13	0.09	28%	14 Jun →
cache	6–13	-0.02	25%	14 Jun →
vertigo	9–7	0.00	24%	14 Jun →
overpass	9–0	0.26	15%	14 Jun →
sanctum	3–9	-0.07	4%	14 Jun →
nuke	7–9	0.09	16%	14 Jun →
inferno	3–9	-0.18	12%	14 Jun →
italy	13–6	0.04	67%	14 Jun →
inferno	3–13	-0.02	33%	13 Jun →
ancient	1–13	0.02	42%	10 Jun →
inferno	13–6	0.00	27%	10 Jun →
dust2	13–4	0.01	36%	10 Jun →
nuke	4–13	-0.06	17%	8 Jun →
cache	12–12	0.05	18%	8 Jun →
warden	13–8	0.15	15%	8 Jun →
nuke	9–2	0.04	10%	7 Jun →
poseidon	9–5	0.01	8%	7 Jun →
inferno	12–16	-0.04	26%	6 Jun →
dust2	13–11	0.07	27%	6 Jun →
ancient	9–13	-0.04	14%	4 Jun →
mirage	8–13	-0.02	14%	31 May →
dust2	9–13	0.02	27%	31 May →
inferno	8–13	-0.02	14%	28 May →
anubis	13–8	0.00	15%	28 May →
ancient	13–5	-0.01	6%	26 May →
dust2	6–13	-0.05	9%	24 May →
ancient	11–13	-0.03	16%	22 May →
inferno	11–13	-0.04	24%	22 May →
overpass	13–3	-0.08	9%	22 May →
inferno	8–13	0.02	21%	22 May →
mirage	13–3	0.05	17%	22 May →
inferno	13–9	-0.03	13%	18 May →
inferno	8–13	0.07	14%	16 May →
inferno	13–4	0.04	26%	15 May →
mirage	13–10	0.01	20%	15 May →
inferno	11–13	0.01	20%	14 May →
overpass	13–9	0.05	24%	11 May →
mirage	11–13	-0.01	16%	11 May →
ancient	14–16	0.00	9%	9 May →