John Quixote — CS2 Stats

US76561198060777155[U:1:100511427]Steam profile ↗✓ No bans

1,224Tracked matches52%Win rate2021Tracked since

3,996Hours in CS3Hrs last 2 wks

CSDB Rating4.7 Developing

WingmanGold Nova I

Ladder ranks via Leetify

Performance scores

Aim49

Positioning50

Utility35

0–100 skill scores via Leetify.

Recent form

COLD50–46–4Last 10050%Win rateLWLLLLLWLL

Last 10 vs previous 10: -40pp win rate · -0.01 avg rating

Player DNA

Aim4.9

Aggression6.9

Utility3.5

Positioning5.0

Opening Duels3.0

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 81% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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. 602ms 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

Aim4.9

Positioning5.0

Utility3.5

Mechanics5.8

Opening Duels3.0

Win Impact5.6

Composite 4.7/10 (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 rating0.00−0.02

first ⅓ avg 0.03 → last ⅓ avg 0.00

Reaction time605ms−48ms

first ⅓ avg 653ms → last ⅓ avg 605ms

Headshot accuracy10.1%−1.8%

first ⅓ avg 11.9% → last ⅓ avg 10.1%

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

0.16Best rating — vertigo 13–2

13–0Biggest win — nuke

6Longest win streak

8–8In matches decided by ≤2 rounds

2Overtime games

Map breakdown

cacheBest map · 70% over 10infernoWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	21	12–9	57%	0.01
nuke	A	14	8–6	57%	0.02
inferno	D	11	3–8	27%	0.02
mirage	A	11	6–5	55%	-0.01
cache	S	10	7–3	70%	0.03
anubis	D	9	3–6	33%	0.01
vertigo	D	7	2–5	29%	0.06
ancient	S	6	4–2	67%	0.02
train	—	4	1–3	25%	0.02
overpass	—	4	2–2	50%	0.02
office	—	2	1–1	50%	0.01
shelter	—	1	1–0	100%	0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,722Lifetime kills

1.08K/D · Top 50% of tracked players

4,356Matches

34.7%Match win rate

35.9%Headshot %

10.1%Shot accuracy

5,141MVPs

1,047Hours (in match)

2,023Bombs planted

538Bombs defused

Most-used weapons

AK-4717,001

M4A4 / M4A1-S13,511

AWP7,336

Desert Eagle4,215

P2000 / USP-S2,776

MP72,612

P902,574

AUG1,895

MP91,884

Galil AR1,712

Lifetime map wins

5,448dust2

2,959nuke

2,284inferno

1,351vertigo

973train

836office

260italy

210lake

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.

10.8%Headshot accuracy

35.5%Accuracy (enemy spotted)

38.6%Spray accuracy

76.0%Counter-strafing

12.7°Preaim

602msReaction time

38.2%T opening success

45.6%CT opening success

0.62Enemies flashed / flash

5.4%Flash assists

12.51HE damage / grenade

1.39Flashes / 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 12.6825° — 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 10.7669% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 1.3921 — below the 4 mark we flag
Grenade Lineups →

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.

27% win rate across 11 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
nuke	11–13	-0.06	9%	28 Aug →
cache	13–3	0.13	11%	28 Aug →
cache	11–13	-0.03	5%	28 Aug →
train	10–13	0.13	18%	12 Aug →
train	0–6	-0.11	0%	12 Aug →
train	8–13	0.03	10%	12 Aug →
inferno	11–13	-0.03	5%	11 Aug →
mirage	13–4	0.09	17%	11 Aug →
nuke	5–13	-0.11	9%	11 Aug →
dust2	7–13	-0.03	15%	11 Aug →
inferno	13–5	0.03	8%	7 Aug →
inferno	9–13	-0.03	7%	7 Aug →
ancient	13–8	-0.03	10%	7 Aug →
nuke	8–13	-0.01	19%	7 Aug →
inferno	12–12	0.04	15%	7 Aug →
mirage	8–13	-0.10	4%	6 Aug →
dust2	13–10	0.06	16%	4 Aug →
nuke	16–13	0.02	10%	3 Aug →
nuke	13–4	0.02	8%	3 Aug →
nuke	13–0	0.09	12%	3 Aug →
anubis	8–13	-0.06	12%	2 Aug →
cache	13–7	0.04	8%	2 Aug →
inferno	10–13	0.05	0%	2 Aug →
nuke	4–13	-0.05	0%	2 Aug →
dust2	13–8	0.01	12%	2 Aug →
mirage	13–1	-0.01	11%	2 Aug →
ancient	13–11	0.01	4%	1 Aug →
anubis	13–7	-0.02	13%	1 Aug →
cache	13–6	0.07	19%	1 Aug →
dust2	13–11	0.04	16%	1 Aug →
anubis	2–10	0.01	10%	29 Jul →
mirage	13–11	-0.01	8%	29 Jul →
mirage	8–13	-0.03	11%	29 Jul →
dust2	8–13	0.04	5%	29 Jul →
vertigo	5–13	-0.01	2%	29 Jul →
vertigo	11–13	0.12	10%	29 Jul →
vertigo	5–13	-0.01	13%	29 Jul →
nuke	13–7	0.02	9%	26 Jul →
nuke	13–6	0.06	20%	25 Jul →
anubis	13–10	0.07	11%	24 Jul →
anubis	6–13	0.00	14%	23 Jul →
anubis	10–13	0.09	6%	23 Jul →
inferno	13–7	0.00	11%	20 Jul →
dust2	13–6	-0.07	4%	19 Jul →
dust2	13–11	-0.03	6%	19 Jul →
cache	7–13	0.01	15%	15 Jul →
nuke	5–13	-0.02	6%	15 Jul →
shelter	13–10	0.01	8%	15 Jul →
dust2	13–10	-0.01	11%	15 Jul →
dust2	4–13	0.02	11%	15 Jul →
cache	13–8	0.02	11%	14 Jul →
inferno	12–12	-0.01	18%	14 Jul →
cache	13–9	-0.02	22%	14 Jul →
inferno	7–13	0.07	10%	10 Jul →
dust2	6–13	0.01	9%	10 Jul →
mirage	13–6	-0.06	9%	10 Jul →
office	13–6	-0.03	14%	10 Jul →
office	12–12	0.06	13%	9 Jul →
dust2	13–9	-0.02	16%	7 Jul →
inferno	11–13	0.05	11%	7 Jul →
cache	13–10	-0.01	16%	7 Jul →
inferno	9–13	0.03	12%	7 Jul →
mirage	9–13	-0.04	9%	6 Jul →
dust2	5–13	0.04	11%	6 Jul →
ancient	0–4	0.00	12%	6 Jul →
overpass	6–13	0.05	13%	4 Jul →
ancient	13–8	0.09	8%	4 Jul →
dust2	13–10	0.07	14%	4 Jul →
dust2	13–11	0.02	11%	2 Jul →
dust2	13–7	0.01	11%	1 Jul →
vertigo	13–10	0.10	17%	1 Jul →
mirage	13–10	0.02	12%	1 Jul →
mirage	12–12	-0.02	5%	1 Jul →
anubis	13–6	-0.01	4%	1 Jul →
cache	7–13	-0.01	11%	1 Jul →
cache	13–7	0.08	2%	1 Jul →
mirage	13–11	0.06	14%	30 Jun →
ancient	13–9	0.04	9%	30 Jun →
dust2	11–13	0.03	6%	30 Jun →
dust2	13–11	0.04	11%	30 Jun →
nuke	5–13	0.06	20%	30 Jun →
overpass	8–13	0.04	10%	30 Jun →
nuke	13–9	0.06	5%	27 Jun →
overpass	9–6	-0.01	6%	26 Jun →
anubis	4–13	-0.02	12%	26 Jun →
vertigo	13–2	0.16	24%	26 Jun →
dust2	7–13	-0.03	21%	26 Jun →
dust2	13–3	-0.07	16%	26 Jun →
mirage	9–13	-0.01	18%	25 Jun →
overpass	13–3	-0.02	16%	25 Jun →
nuke	13–3	0.08	15%	25 Jun →
train	13–2	0.04	13%	25 Jun →
vertigo	11–13	0.03	10%	25 Jun →
vertigo	5–13	0.00	7%	25 Jun →
dust2	10–13	-0.01	17%	23 Jun →
dust2	6–13	0.05	14%	23 Jun →
ancient	5–13	-0.00	7%	22 Jun →
inferno	4–3	0.00	15%	22 Jun →
nuke	13–4	0.13	11%	22 Jun →
anubis	14–16	0.02	10%	22 Jun →

Show all 100 matchesShow fewer

Match data via Leetify.

Milestones

1,000 Matches

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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