Rango The Mango — CS2 Stats

76561199275065359[U:1:1314799631]Steam profile ↗✓ No bans

960Tracked matches41%Win rate2024Tracked since

2,569Hours in CS64Hrs last 2 wks

CSDB Rating3.0 Learning

Ladder ranks via Leetify

Performance scores

Aim20

Positioning50

Utility27

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateWWWLLWLLTW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

Aim2.0

Aggression5.3

Utility2.7

Positioning5.0

Opening Duels2.3

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 74% playstyle similarity

Most alike: opening-fight frequency, 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

Areas to improve

Reaction time. 701ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.0

Positioning5.0

Utility2.7

Mechanics3.6

Opening Duels2.3

Win Impact1.9

Composite 3.0/10 (Learning), 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 rating-0.04−0.02

first ⅓ avg -0.02 → last ⅓ avg -0.04

Reaction time691ms−109ms

first ⅓ avg 800ms → last ⅓ avg 691ms

Headshot accuracy9.4%−2.2%

first ⅓ avg 11.6% → last ⅓ avg 9.4%

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

0.17Best rating — dust2 13–10

13–0Biggest win — anubis

5Longest win streak

W3Current streak

4–9In matches decided by ≤2 rounds

Map breakdown

trainBest map · 67% over 6mirageWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	44	17–27	39%	-0.02
anubis	C	11	4–7	36%	-0.06
nuke	C	9	4–5	44%	-0.05
train	S	6	4–2	67%	-0.03
mirage	D	6	2–4	33%	-0.03
ancient	C	5	2–3	40%	-0.06
inferno	A	5	3–2	60%	-0.04
office	A	5	3–2	60%	-0.01
vertigo	—	4	3–1	75%	-0.01
cache	—	3	2–1	67%	0.01
overpass	—	1	0–1	0%	-0.00
shelter	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

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

Lifetime stats

37,283Lifetime kills

0.88K/D

2,445Matches

35.3%Match win rate

42.3%Headshot %

1.2%Shot accuracy

2,804MVPs

672Hours (in match)

1,325Bombs planted

214Bombs defused

Most-used weapons

AK-4713,421

M4A4 / M4A1-S4,791

Desert Eagle2,851

AWP2,180

P901,484

P2000 / USP-S1,040

Galil AR1,000

Negev909

AUG894

Glock-18804

Lifetime map wins

3,461dust2

2,572nuke

1,646inferno

1,340vertigo

870train

867office

52ar_shoots

33italy

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.

9.2%Headshot accuracy

30.1%Accuracy (enemy spotted)

32.8%Spray accuracy

66.2%Counter-strafing

12.5°Preaim

701msReaction time

31.8%T opening success

46.4%CT opening success

0.45Enemies flashed / flash

6.4%Flash assists

2.83HE damage / grenade

4.63Flashes / 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 12.5295° — 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 9.2021% — below the 15% mark we flag
Aim Training →
Best CS2 Settings
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 700.9685ms — above the 700ms mark we flag
Aim Training →

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.

33% win rate across 6 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
ancient	13–11	-0.07	14%	30 Aug →
train	13–4	-0.05	10%	30 Aug →
nuke	13–6	-0.03	9%	28 Aug →
train	10–13	-0.02	10%	28 Aug →
anubis	2–13	-0.06	15%	25 Aug →
mirage	13–7	0.01	14%	23 Aug →
nuke	11–13	0.01	10%	23 Aug →
mirage	8–13	0.01	15%	23 Aug →
inferno	12–12	-0.05	8%	22 Aug →
vertigo	13–5	0.05	3%	22 Aug →
cache	13–11	-0.06	5%	22 Aug →
dust2	5–13	0.02	10%	22 Aug →
ancient	12–12	-0.05	9%	20 Aug →
anubis	3–13	-0.10	5%	20 Aug →
office	9–13	0.00	19%	20 Aug →
nuke	11–13	-0.08	7%	19 Aug →
anubis	4–13	-0.09	7%	19 Aug →
anubis	10–5	-0.03	0%	19 Aug →
office	12–12	-0.03	15%	18 Aug →
anubis	11–13	-0.06	2%	18 Aug →
overpass	7–13	-0.00	7%	18 Aug →
office	13–8	0.01	15%	17 Aug →
anubis	3–13	-0.05	6%	17 Aug →
nuke	7–13	-0.12	0%	17 Aug →
anubis	13–10	-0.07	4%	17 Aug →
anubis	13–0	0.03	8%	17 Aug →
vertigo	3–13	-0.06	9%	17 Aug →
anubis	7–13	-0.10	20%	17 Aug →
train	13–10	-0.03	5%	16 Aug →
nuke	6–13	-0.11	13%	15 Aug →
train	13–6	-0.02	21%	15 Aug →
nuke	13–9	-0.03	6%	15 Aug →
office	13–2	-0.01	8%	15 Aug →
ancient	2–13	-0.07	2%	14 Aug →
inferno	13–11	-0.05	15%	14 Aug →
nuke	5–13	-0.10	6%	13 Aug →
ancient	9–13	-0.09	5%	13 Aug →
vertigo	13–4	-0.06	0%	13 Aug →
mirage	8–13	-0.08	29%	12 Aug →
dust2	11–13	-0.02	17%	12 Aug →
mirage	5–13	-0.01	10%	12 Aug →
dust2	4–13	-0.04	4%	12 Aug →
dust2	5–13	-0.11	0%	12 Aug →
dust2	13–8	-0.04	6%	11 Aug →
dust2	13–8	-0.04	13%	11 Aug →
dust2	7–13	-0.00	7%	11 Aug →
dust2	13–0	0.02	5%	11 Aug →
train	13–8	-0.03	13%	11 Aug →
anubis	8–13	-0.09	8%	11 Aug →
mirage	9–13	-0.07	6%	11 Aug →
dust2	13–2	0.01	13%	11 Aug →
cache	13–3	0.09	4%	11 Aug →
nuke	13–10	-0.07	6%	11 Aug →
inferno	13–7	0.00	6%	11 Aug →
inferno	13–5	-0.00	24%	9 Aug →
dust2	9–13	-0.08	5%	9 Aug →
dust2	12–12	-0.02	3%	9 Aug →
dust2	9–13	0.01	10%	9 Aug →
dust2	13–9	-0.06	14%	9 Aug →
dust2	13–11	-0.06	17%	8 Aug →
anubis	13–10	-0.03	12%	8 Aug →
vertigo	13–6	0.04	9%	8 Aug →
dust2	13–5	0.00	6%	8 Aug →
dust2	5–13	-0.04	14%	8 Aug →
mirage	13–6	-0.06	3%	8 Aug →
dust2	6–13	0.15	16%	8 Aug →
dust2	2–13	-0.02	11%	8 Aug →
dust2	8–13	-0.03	9%	7 Aug →
office	13–10	-0.02	16%	7 Aug →
nuke	13–7	0.04	7%	7 Aug →
ancient	13–10	-0.03	9%	7 Aug →
dust2	9–13	-0.09	5%	7 Aug →
dust2	13–2	0.05	10%	7 Aug →
inferno	8–13	-0.08	24%	6 Aug →
cache	11–13	0.01	14%	6 Aug →
dust2	13–10	-0.03	12%	6 Aug →
dust2	13–10	0.17	15%	6 Aug →
dust2	8–13	-0.01	14%	6 Aug →
dust2	3–13	-0.04	22%	6 Aug →
dust2	6–13	-0.04	9%	6 Aug →
dust2	13–4	-0.04	4%	6 Aug →
dust2	13–10	-0.07	15%	6 Aug →
dust2	3–13	-0.04	11%	5 Aug →
dust2	13–8	-0.03	3%	5 Aug →
dust2	0–13	-0.10	29%	5 Aug →
shelter	11–13	-0.01	6%	5 Aug →
dust2	8–13	-0.03	7%	5 Aug →
dust2	4–13	-0.05	14%	5 Aug →
dust2	9–13	-0.01	20%	5 Aug →
dust2	9–13	-0.03	11%	5 Aug →
dust2	13–3	-0.07	5%	5 Aug →
train	8–13	-0.03	10%	5 Aug →
dust2	13–10	-0.06	5%	5 Aug →
dust2	12–12	-0.00	9%	4 Aug →
dust2	11–13	0.02	10%	4 Aug →
dust2	11–13	-0.02	8%	4 Aug →
dust2	11–13	-0.02	17%	4 Aug →
dust2	13–6	-0.00	16%	4 Aug →
dust2	12–5	0.04	11%	4 Aug →
dust2	2–7	-0.06	5%	4 Aug →