the juicy mango — CS2 Stats

76561197992403568[U:1:32137840]

579Tracked matches34%Win rate2023Tracked since

289Hours in CS

CSDB Rating3.5 Learning

Premier CS Rating10,412Blue band · top ~52.7% of ranked players (population est.)

CSDB Leaderboard#15339 of 21062 tracked

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning42

Utility36

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLWWLWLWLWL

Last 10 vs previous 10: +30pp win rate · +0.05 avg rating

Player DNA

Aim4.6

Aggression4.7

Utility3.6

Positioning4.2

Opening Duels0.0

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 NiKo 77% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

Areas to improve

Reaction time. 615ms 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

Aim4.6

Positioning4.2

Utility3.6

Mechanics6.2

Opening Duels0.0

Win Impact0.0

Composite 3.5/10 (Learning), 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 rating-0.02−0.01

first ⅓ avg -0.01 → last ⅓ avg -0.02

Reaction time627ms−11ms

first ⅓ avg 638ms → last ⅓ avg 627ms

Headshot accuracy17.6%+3.9%

first ⅓ avg 13.7% → last ⅓ avg 17.6%

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

0.14Best rating — inferno 9–2

13–2Biggest win — inferno

6Longest win streak

8–8In matches decided by ≤2 rounds

5Overtime games

Map breakdown

nukeBest map · 75% over 16cacheWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	19	11–8	58%	-0.02
mirage	A	17	10–7	59%	-0.03
nuke	S	16	12–4	75%	0.00
ancient	C	11	4–7	36%	-0.01
anubis	B	10	5–5	50%	-0.03
cache	D	9	3–6	33%	-0.01
dust2	C	8	3–5	38%	-0.05
office	—	3	1–2	33%	-0.04
overpass	—	3	2–1	67%	-0.04
fachwerk	—	1	0–1	0%	-0.04
debris	—	1	0–1	0%	-0.14
train	—	1	0–1	0%	-0.08
vertigo	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Lifetime stats

8,564Lifetime kills

0.85K/D

646Matches

45.8%Match win rate

42.9%Headshot %

0.0%Shot accuracy

1,032MVPs

289Hours (in match)

687Bombs planted

192Bombs defused

Most-used weapons

AK-472,814

M4A4 / M4A1-S1,670

MP9690

AWP644

MAC-10605

P2000 / USP-S551

Glock-18423

XM1014353

Galil AR118

Five-SeveN95

Lifetime map wins

965inferno

931nuke

726dust2

363vertigo

208office

16train

1ar_shoots

1ar_baggage

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

Faceit stats

Combat

7Matches

43%Win rate

0.83Avg K/D

—ADR

39%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	3	33%	0.90	14.3
Anubis	2	50%	0.88	14.5
Vertigo	1	100%	0.91	10.0
Mirage	1	0%	0.47	7.0

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.

17.1%Headshot accuracy

31.4%Accuracy (enemy spotted)

32.6%Spray accuracy

78.0%Counter-strafing

12.9°Preaim

615msReaction time

30.0%T opening success

28.9%CT opening success

0.49Enemies flashed / flash

6.1%Flash assists

3.92HE damage / grenade

3.71Flashes / 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 12.9497° — above the 12° 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 0.4947 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
inferno	7–13	-0.08	8%	15 Aug →
nuke	13–9	0.00	31%	15 Aug →
inferno	13–6	0.06	15%	19 Jul →
mirage	5–13	0.06	13%	19 Jul →
nuke	13–11	0.03	14%	19 Jul →
ancient	10–13	-0.03	8%	19 Jul →
mirage	13–9	0.01	20%	19 Jul →
ancient	11–13	0.03	21%	19 Jul →
inferno	13–8	0.02	19%	19 Jul →
nuke	12–16	0.02	17%	18 Jul →
ancient	6–13	-0.02	18%	18 Jul →
cache	12–12	-0.04	17%	18 Jul →
anubis	1–13	-0.03	10%	18 Jul →
inferno	8–8	-0.05	21%	18 Jul →
nuke	13–11	0.03	11%	17 Jul →
dust2	10–13	-0.01	21%	17 Jul →
anubis	10–13	-0.03	9%	17 Jul →
inferno	0–13	-0.12	14%	17 Jul →
anubis	13–7	-0.10	11%	17 Jul →
fachwerk	6–13	-0.04	32%	16 Jul →
ancient	7–13	-0.07	17%	16 Jul →
nuke	13–10	-0.02	19%	15 Jul →
dust2	4–13	-0.00	24%	15 Jul →
nuke	13–3	-0.08	6%	14 Jul →
inferno	2–13	-0.07	14%	14 Jul →
mirage	13–8	0.04	24%	14 Jul →
mirage	0–13	-0.05	17%	14 Jul →
cache	4–13	-0.06	8%	14 Jul →
cache	2–8	-0.07	40%	13 Jul →
cache	11–13	0.01	21%	13 Jul →
nuke	6–13	-0.05	23%	12 Jul →
cache	13–10	0.03	18%	11 Jul →
mirage	13–10	-0.04	21%	11 Jul →
mirage	0–2	-0.17	0%	11 Jul →
mirage	3–13	-0.03	11%	11 Jul →
cache	5–13	-0.04	21%	11 Jul →
office	8–13	0.00	20%	10 Jul →
inferno	12–12	-0.03	13%	10 Jul →
anubis	5–13	-0.02	27%	10 Jul →
cache	10–13	0.14	26%	10 Jul →
office	5–13	-0.08	16%	10 Jul →
anubis	11–4	-0.04	13%	9 Jul →
debris	7–9	-0.14	12%	8 Jul →
inferno	13–10	-0.01	31%	6 Jul →
nuke	13–9	0.04	16%	5 Jul →
dust2	7–13	-0.09	19%	5 Jul →
mirage	13–10	-0.01	20%	5 Jul →
mirage	11–13	-0.11	11%	5 Jul →
ancient	7–13	0.03	12%	4 Jul →
overpass	5–13	-0.05	23%	4 Jul →
nuke	13–6	-0.01	19%	2 Jul →
cache	13–5	0.01	18%	2 Jul →
mirage	11–13	-0.04	28%	2 Jul →
dust2	13–9	0.01	21%	28 Jun →
ancient	16–13	-0.02	13%	28 Jun →
anubis	13–8	-0.02	12%	27 Jun →
overpass	13–8	-0.02	18%	27 Jun →
dust2	8–13	-0.08	21%	27 Jun →
mirage	13–5	-0.06	25%	27 Jun →
mirage	13–9	-0.06	11%	26 Jun →
ancient	13–11	-0.02	8%	26 Jun →
ancient	7–13	-0.05	18%	26 Jun →
inferno	9–13	-0.03	7%	26 Jun →
inferno	13–2	-0.01	0%	26 Jun →
mirage	13–11	-0.08	17%	25 Jun →
dust2	13–7	-0.05	21%	23 Jun →
mirage	13–11	-0.03	14%	23 Jun →
anubis	7–2	-0.01	11%	23 Jun →
office	13–7	-0.04	17%	21 Jun →
inferno	5–13	-0.08	21%	20 Jun →
inferno	13–10	-0.05	18%	20 Jun →
inferno	13–7	-0.05	20%	19 Jun →
anubis	6–13	0.01	14%	18 Jun →
dust2	16–12	-0.05	13%	18 Jun →
inferno	13–4	0.01	8%	18 Jun →
overpass	3–4	-0.04	9%	18 Jun →
nuke	13–6	0.03	14%	18 Jun →
nuke	13–11	-0.02	15%	17 Jun →
train	3–13	-0.08	8%	17 Jun →
mirage	16–14	0.01	12%	17 Jun →
mirage	13–7	0.02	13%	17 Jun →
cache	13–9	-0.05	16%	17 Jun →
ancient	13–7	-0.02	9%	17 Jun →
inferno	9–2	0.14	12%	16 Jun →
nuke	13–6	0.03	19%	16 Jun →
ancient	11–13	-0.03	10%	16 Jun →
mirage	5–13	-0.00	13%	16 Jun →
anubis	13–9	-0.05	8%	16 Jun →
nuke	10–13	-0.01	17%	16 Jun →
nuke	13–7	0.04	21%	16 Jun →
inferno	13–6	-0.03	19%	16 Jun →
ancient	13–6	0.07	14%	15 Jun →
vertigo	13–8	0.04	13%	15 Jun →
nuke	11–13	-0.03	14%	14 Jun →
inferno	16–13	-0.05	5%	7 Jun →
anubis	7–13	0.00	11%	7 Jun →
inferno	13–4	0.07	23%	6 Jun →
dust2	3–8	-0.10	7%	6 Jun →
nuke	13–4	0.02	5%	6 Jun →
inferno	4–13	0.01	25%	6 Jun →