MangoStylex

MangoStylex — CS2 Stats

IO76561198084390253[U:1:124124525]Steam profile ↗✓ No bans

1,119Tracked matches57%Win rate2020Tracked since
2,251Hours in CS
CSDB Rating5.9 SolidPositional Player
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,119 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,412 +6,340 21 Oct – 10 Jun · 6 days played
14,07221,511peak 21,51121 Oct10 Jun
Faceit ELO: 1,685 +0 26 Sept – 3 Nov · 2 observations
1,6851,685peak 1,68526 Sept3 Nov
21,511Peak Premier in tracked matches
1,685Highest Faceit ELO seen on CSDB
40Days played since 2025-03-12

Faceit ELO

  • At peak — 1,685
  • Next: Level 9 at 1,751 — 66 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-26
  • Level 7 first seen 2026-09-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGMangoStylexPEAK ELO1,685csdb.gg/stats

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Performance scores

Aim64
Positioning62
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY52–44–4Last 10052%Win rateWLLWWWLLLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · −91ms reaction

Win rate −10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 534ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 526ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 571ms

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 against its own average).

Aim6.4
Utility5.8
Positioning6.2
Opening Duels5.6
Clutch3.4

Effective flashes

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

jL

Plays most like jL 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 605ms 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

Aim6.4
Positioning6.2
Utility5.8
Mechanics6.2
Opening Duels5.8
Win Impact7.2

Composite 5.9/10 (Solid), 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 rating0.02+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time587ms−66ms
first ⅓ avg 654ms → last ⅓ avg 587ms
Headshot accuracy19.8%−3.2%
first ⅓ avg 23.0% → last ⅓ avg 19.8%

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

0.16Best match rating · 9–5 · inferno, 30 Oct →
50%Best headshot accuracy · 4–13 · inferno, 24 Sept →
313msFastest reaction time · 13–1 · dust2, 28 Sept →
13–1Biggest win · dust2, 28 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
7–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 81% over 16overpassWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2211–1150%0.01
infernoC198–1142%0.02
nukeS1613–381%0.02
ancientC135–838%0.00
dust2S128–467%0.02
overpassD62–433%-0.03
vertigo—31–233%-0.05
cache—21–150%-0.02
train—22–0100%0.06
anubis—10–10%-0.01
rooftop—10–10%0.02
dogtown—10–10%-0.16
brewery—11–0100%-0.06
whistle—10–10%-0.16

Across the last 100 tracked matches.

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

Lifetime stats

82,854Lifetime kills
1.13K/D · Top 25% of tracked players
4,686Matches
43.9%Match win rate
50.4%Headshot % · Top 25% of tracked players
15.6%Shot accuracy · Top 25% of tracked players
14,156MVPs
2,251Hours (in match)
3,411Bombs planted
1,017Bombs defused

Most-used weapons

AK-4732,538
AWP11,935
MP91,612
Knife1,597
P2501,218

Lifetime map wins

6,334nuke
5,894inferno
3,131dust2
2,982vertigo
1,920train
660cbble
158office
139lake

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

Faceit stats

Combat

632Matches
53%Win rate
1.06Avg K/D
75.8ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10350%1.0015.6
Nuke6464%1.1317.4
Ancient4641%0.9414.1
Inferno3754%0.9815.4
Overpass3355%1.0314.6
Anubis2850%1.0015.3
Vertigo2857%0.9116.5
Train1533%1.0014.6

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.

19.3%Headshot accuracy
33.8%Accuracy (enemy spotted)
35.5%Spray accuracy
78.1%Counter-strafing
10.5°Preaim
605msReaction time
51.5%T opening success
55.1%CT opening success
0.73Enemies flashed / flash
7.6%Flash assists
12.84HE damage / grenade
11.33Flashes / match

Recommended for you

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–11-0.0215%27 Oct →
cache7–13-0.0717%16 Oct →
nuke10–13-0.0324%28 Sept →
nuke13–40.0517%28 Sept →
dust213–10.0113%28 Sept →
mirage13–60.0118%28 Sept →
mirage9–130.0413%13 Sept →
mirage6–130.0423%13 Sept →
inferno9–130.0123%10 Jun →
dust213–40.1021%10 Jun →
overpass4–13-0.0713%13 May →
ancient9–13-0.0323%13 May →
overpass11–13-0.0114%10 May →
cache13–100.028%10 May →
mirage7–130.0117%26 Mar →
nuke13–90.1119%26 Mar →
mirage13–30.1126%26 Mar →
ancient13–80.0823%26 Mar →
inferno13–90.0420%25 Mar →
nuke16–14-0.0122%25 Mar →
ancient13–90.0820%25 Mar →
nuke13–100.0220%25 Mar →
mirage13–110.0028%25 Mar →
inferno8–130.0120%25 Mar →
mirage13–9-0.0221%24 Mar →
ancient9–13-0.0215%24 Mar →
mirage4–13-0.0224%24 Mar →
anubis2–13-0.0110%22 Mar →
mirage13–10-0.0118%22 Mar →
nuke16–140.0825%22 Mar →
mirage16–140.0830%22 Mar →
inferno13–160.0131%21 Mar →
ancient8–13-0.0125%21 Mar →
mirage4–13-0.037%16 Feb →
mirage14–16-0.0333%7 Feb →
nuke13–90.0130%6 Feb →
mirage11–13-0.0318%29 Jan →
ancient13–7-0.0137%28 Jan →
dust213–110.0422%28 Jan →
nuke13–100.0548%28 Jan →
dust215–150.0129%26 Jan →
inferno13–60.0129%26 Jan →
mirage14–160.0131%19 Nov →
mirage10–13-0.0424%18 Nov →
ancient13–40.0116%18 Nov →
nuke12–160.0422%17 Nov →
dust213–40.0125%30 Oct →
inferno2–9-0.1525%30 Oct →
inferno7–90.0728%30 Oct →
inferno9–50.1636%30 Oct →
inferno13–10-0.0324%26 Oct →
inferno13–30.0425%22 Oct →
ancient13–3-0.0020%21 Oct →
train13–60.0333%21 Oct →
inferno15–15-0.0420%21 Oct →
nuke13–90.0629%21 Oct →
nuke13–6-0.0220%20 Oct →
overpass10–13-0.060%20 Oct →
train13–30.096%19 Oct →
rooftop8–80.0224%16 Oct →
mirage13–50.0225%16 Oct →
nuke5–9-0.0437%1 Oct →
inferno9–60.0528%1 Oct →
nuke13–5-0.0018%30 Sept →
ancient8–13-0.0712%27 Sept →
nuke9–30.0325%27 Sept →
vertigo9–50.0327%27 Sept →
vertigo2–9-0.1129%27 Sept →
dust23–13-0.0423%27 Sept →
dust27–13-0.0624%27 Sept →
mirage11–130.0224%27 Sept →
mirage13–20.0123%27 Sept →
dust213–7-0.0525%27 Sept →
inferno13–100.0019%27 Sept →
ancient10–13-0.0919%27 Sept →
dust213–80.0725%26 Sept →
mirage22–190.0722%26 Sept →
inferno9–130.0118%25 Sept →
mirage11–13-0.054%25 Sept →
ancient9–130.0415%25 Sept →
dogtown6–9-0.1610%24 Sept →
brewery9–3-0.0617%24 Sept →
nuke9–7-0.039%24 Sept →
inferno4–13-0.0250%24 Sept →
ancient10–130.0218%24 Sept →
overpass2–13-0.0418%22 Sept →
ancient11–130.0147%22 Sept →
vertigo2–13-0.0617%22 Sept →
nuke13–100.0628%22 Sept →
mirage13–30.0538%22 Sept →
overpass13–70.0126%22 Sept →
inferno12–120.0022%2 Apr →
inferno7–10.1526%2 Apr →
dust213–50.0837%30 Mar →
inferno8–130.0329%29 Mar →
whistle2–9-0.1620%22 Mar →
inferno3–70.0520%22 Mar →
dust25–100.0622%22 Mar →
mirage13–90.0316%12 Mar →
overpass13–9-0.0219%12 Mar →

Match data via Leetify.

Recent teammates

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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