Mango Swirl

Mango Swirl — CS2 Stats

US76561198413127702[U:1:452861974]Steam profile ↗✓ No bans

578Tracked matches40%Win rate2021Tracked since
470Hours in CS11Hrs last 2 wks
CSDB Rating4.1 Developing
Premier CS Rating19,666Purple band · top ~9.8% of ranked players (population est.)
CSDB Leaderboard#4835 of 10015 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=201), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPink band medianvs Pink band
Headshot rate37.6%48.1%10.4% short
Shot accuracy2.7%12.9%10.2% short
Kill/death ratio0.871.080.21 short
Match win rate45.3%46.5%1.2% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGMango SwirlPREMIER19,666 · Purple bandcsdb.gg/stats

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Performance scores

Aim46
Positioning40
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY51445Last 10051%Win rateLLWWLWWLLL

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim4.6
Aggression4.4
Utility6.2
Positioning4.0
Opening Duels1.7

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

NiKo

Plays most like NiKo 85% 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

T-side openings. Opening success drops from 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% 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

Aim4.6
Positioning4.0
Utility6.2
Mechanics4.3
Opening Duels2.2
Win Impact1.7

Composite 4.1/10 (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 rating-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time575ms−12ms
first ⅓ avg 587ms → last ⅓ avg 575ms
Headshot accuracy12.4%+0.7%
first ⅓ avg 11.7% → last ⅓ avg 12.4%

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

0.13Best rating — cache 13–0
130Biggest win — cache
7Longest win streak
L2Current streak
810In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 75% over 12nukeWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA1912763%0.00
cacheC167944%-0.01
dust2C146843%-0.03
infernoB136746%-0.03
anubisS129375%0.00
ancientB126650%0.00
nukeC125742%-0.02
vertigo2020%-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,460Lifetime kills
0.87K/D
716Matches
45.3%Match win rate
37.6%Headshot %
2.7%Shot accuracy
1,225MVPs
331Hours (in match)
827Bombs planted
174Bombs defused

Most-used weapons

Lifetime map wins

1,251dust2
938inferno
898nuke
452vertigo
29train
5ar_shoots
3ar_baggage

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.

12.6%Headshot accuracy
32.5%Accuracy (enemy spotted)
33.2%Spray accuracy
69.4%Counter-strafing
11.0°Preaim
571msReaction time
25.3%T opening success
47.9%CT opening success
0.62Enemies flashed / flash
4.5%Flash assists
7.95HE damage / grenade
10.57Flashes / 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.

  1. 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 12.5985% — below the 15% mark we flag

    Aim Training
  2. 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 25.3312% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno5–130.0210%27 Aug
cache4–13-0.085%27 Aug
anubis13–11-0.0111%27 Aug
cache13–90.029%27 Aug
inferno12–16-0.1013%20 Aug
cache13–10-0.0217%20 Aug
mirage13–80.0512%19 Aug
dust28–13-0.0226%19 Aug
dust211–13-0.0312%15 Aug
vertigo6–9-0.089%15 Aug
mirage7–13-0.0223%15 Aug
ancient8–13-0.0513%15 Aug
cache11–13-0.0318%14 Aug
ancient13–60.0612%14 Aug
nuke1–13-0.096%14 Aug
anubis13–11-0.037%11 Aug
mirage8–130.0111%11 Aug
inferno13–11-0.0411%11 Aug
anubis7–13-0.023%11 Aug
nuke8–130.007%9 Aug
mirage13–100.0915%9 Aug
dust28–13-0.0819%9 Aug
mirage8–13-0.0712%7 Aug
cache8–13-0.028%7 Aug
cache3–11-0.0112%7 Aug
dust216–12-0.055%7 Aug
ancient13–110.019%31 Jul
nuke11–13-0.0514%31 Jul
dust213–10-0.0228%31 Jul
mirage13–40.0117%31 Jul
cache7–13-0.0310%31 Jul
mirage13–7-0.059%31 Jul
nuke13–60.0316%29 Jul
inferno13–50.0616%29 Jul
ancient13–80.0913%28 Jul
ancient10–13-0.047%28 Jul
anubis13–60.0510%28 Jul
anubis16–14-0.0116%28 Jul
nuke13–80.0110%26 Jul
cache16–12-0.0111%26 Jul
ancient13–70.0313%26 Jul
inferno13–50.0115%25 Jul
mirage13–90.017%25 Jul
cache11–130.0310%25 Jul
cache13–11-0.0012%24 Jul
dust25–13-0.075%24 Jul
inferno16–13-0.0413%23 Jul
nuke13–11-0.029%22 Jul
cache15–150.0112%22 Jul
anubis16–12-0.059%20 Jul
ancient15–15-0.0110%20 Jul
dust213–7-0.068%20 Jul
inferno13–80.0610%19 Jul
mirage13–80.0415%19 Jul
mirage13–8-0.007%18 Jul
dust211–13-0.0131%18 Jul
cache13–00.1311%18 Jul
mirage13–8-0.0110%18 Jul
dust213–00.088%16 Jul
anubis13–30.045%16 Jul
mirage13–00.036%16 Jul
inferno3–13-0.066%16 Jul
cache10–13-0.0412%11 Jul
anubis13–80.058%11 Jul
dust26–13-0.0314%11 Jul
ancient7–13-0.0014%11 Jul
dust213–80.0016%26 Jun
mirage11–130.0310%24 Jun
nuke13–5-0.0410%24 Jun
anubis15–150.0310%23 Jun
mirage5–130.0511%23 Jun
inferno6–13-0.046%21 Jun
ancient7–13-0.0211%11 Jun
nuke7–13-0.0015%11 Jun
anubis13–10-0.019%9 Jun
dust211–13-0.0223%5 Jun
nuke6–13-0.0213%5 Jun
inferno8–13-0.0914%5 Jun
vertigo12–12-0.0211%4 Jun
dust213–8-0.0817%3 Jun
ancient7–13-0.055%3 Jun
mirage13–6-0.0111%3 Jun
nuke13–9-0.0218%3 Jun
nuke13–16-0.0513%30 May
mirage15–150.0115%29 May
inferno2–13-0.104%29 May
mirage13–10-0.048%25 May
dust25–13-0.016%25 May
inferno13–80.0412%23 May
cache13–2-0.0212%20 May
anubis13–70.0022%20 May
ancient13–9-0.0013%20 May
inferno6–13-0.0710%19 May
mirage13–80.0218%19 May
ancient13–40.0013%18 May
nuke5–13-0.008%18 May
cache13–110.015%15 May
cache11–13-0.0210%15 May
mirage14–16-0.088%5 May
anubis11–13-0.0115%3 May

Match data via Leetify.

Recent teammates

Milestones

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