Dr. Mango

Dr. Mango — CS2 Stats

76561198292518947[U:1:332253219]Steam profile ↗

2,153Tracked matches72%Win rate2023Tracked since
CSDB Rating6.8 SolidHybrid Rifler
Premier CS Rating26,741Top 10% of 17,162 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#1492 of 28230 tracked
FaceitLevel 7 · 1,211 ELOTop 42.3% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGDr. MangoFACEITLevel 7 · 1,211 ELOSTANDINGTop 42.3% of rankedPREMIER26,741 · Red bandcsdb.gg/stats

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Performance scores

Aim73
Positioning50
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY58366Last 10058%Win rateWLWWWTWLLL

Last 10 vs previous 10: -10pp win rate · +0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression5.1
Utility6.2
Positioning5.0
Opening Duels1.6
Clutch3.4

Strong CT-side opener

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 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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 47% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 617ms 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

Aim7.3
Positioning5.0
Utility6.2
Mechanics7.6
Opening Duels2.2
Win Impact10.0

Composite 6.8/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time651ms+26ms
first ⅓ avg 625ms → last ⅓ avg 651ms
Headshot accuracy23.0%+4.6%
first ⅓ avg 18.4% → last ⅓ avg 23.0%

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

0.20Best rating — inferno 9–6
131Biggest win — ancient
15Longest win streak
78In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 80% over 5dust2Weakest map · 47% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB1910953%0.01
dust2B178947%-0.01
ancientA149564%-0.01
anubisA149564%0.00
cacheA149564%-0.02
mirageA138562%-0.00
nukeS54180%0.00
poseidon1010%-0.13
overpass1010%-0.01
eldorado1010%-0.06
vertigo110100%0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (47% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

580Matches
50%Win rate
1.00Avg K/D
78.9ADR
44%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage17147%0.9913.9
Inferno13556%1.0516.0
Dust29243%0.8913.9
Ancient5855%1.0916.5
Nuke5256%0.9815.3
Anubis2839%1.0316.6
Overpass1669%1.1618.4
Train1338%0.8414.0

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.

20.6%Headshot accuracy
33.9%Accuracy (enemy spotted)
38.6%Spray accuracy
84.0%Counter-strafing
10.0°Preaim
617msReaction time
25.5%T opening success
47.3%CT opening success
0.55Enemies flashed / flash
5.4%Flash assists
7.34HE damage / grenade
10.03Flashes / 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. 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 25.4919% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

47% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.007%29 Aug
dust28–13-0.0513%29 Aug
nuke13–4-0.069%20 Aug
ancient13–5-0.0818%20 Aug
anubis13–30.0214%20 Aug
dust212–12-0.0118%16 Aug
ancient13–70.0630%16 Aug
anubis16–19-0.0312%16 Aug
cache7–13-0.0315%12 Aug
inferno11–130.0217%12 Aug
dust24–13-0.0914%12 Aug
inferno13–10-0.0222%12 Aug
mirage1–13-0.0511%11 Aug
inferno10–13-0.0018%10 Aug
inferno5–9-0.1183%10 Aug
ancient13–1-0.115%10 Aug
cache13–5-0.0233%10 Aug
mirage13–9-0.0117%10 Aug
mirage13–10.0460%9 Aug
mirage13–4-0.0323%9 Aug
cache13–6-0.0526%9 Aug
dust213–11-0.0628%9 Aug
dust213–3-0.0350%9 Aug
mirage13–30.0012%9 Aug
mirage13–30.0747%9 Aug
ancient13–10.0520%9 Aug
dust213–5-0.0513%9 Aug
dust213–1-0.0617%9 Aug
mirage13–50.0229%9 Aug
mirage13–70.0710%8 Aug
inferno10–130.0428%8 Aug
cache4–13-0.0122%2 Aug
anubis13–20.0219%2 Aug
anubis11–130.0122%2 Aug
dust213–10.0721%1 Aug
ancient13–2-0.090%1 Aug
mirage13–6-0.0320%1 Aug
cache13–30.0713%1 Aug
mirage15–15-0.0722%1 Aug
cache13–60.0122%1 Aug
inferno13–100.0419%1 Aug
cache13–70.0717%1 Aug
poseidon2–9-0.1327%1 Aug
inferno9–60.2023%1 Aug
overpass10–13-0.0113%1 Aug
inferno12–120.0116%1 Aug
cache13–10-0.0217%1 Aug
nuke13–90.0622%1 Aug
dust27–130.0315%1 Aug
nuke11–13-0.0114%31 Jul
mirage11–130.0013%30 Jul
eldorado8–8-0.0619%30 Jul
cache9–13-0.0416%30 Jul
anubis11–130.0619%30 Jul
ancient12–120.0415%30 Jul
dust213–16-0.0118%30 Jul
cache13–80.0529%29 Jul
inferno13–110.0127%29 Jul
ancient10–130.0321%28 Jul
cache10–13-0.0712%27 Jul
inferno13–110.0619%27 Jul
ancient10–130.1116%23 Jul
mirage3–13-0.0426%23 Jul
dust25–13-0.0117%23 Jul
inferno13–8-0.0410%23 Jul
anubis13–30.035%23 Jul
cache8–13-0.0620%22 Jul
inferno11–130.0115%22 Jul
anubis13–11-0.0417%22 Jul
ancient13–110.0521%21 Jul
dust213–60.0224%21 Jul
anubis13–90.0727%21 Jul
ancient7–13-0.0721%20 Jul
inferno7–13-0.0418%20 Jul
inferno13–2-0.0019%17 Jul
dust28–13-0.0022%16 Jul
dust213–90.0322%16 Jul
ancient13–2-0.0416%15 Jul
ancient13–3-0.0111%15 Jul
cache13–5-0.0627%15 Jul
cache13–8-0.0615%15 Jul
anubis1–3-0.110%15 Jul
nuke8–1-0.0111%15 Jul
ancient13–10-0.090%15 Jul
nuke13–20.0217%15 Jul
anubis13–8-0.0320%14 Jul
anubis13–10.0326%14 Jul
dust213–9-0.0226%13 Jul
dust213–160.0715%13 Jul
inferno8–130.0110%13 Jul
mirage5–130.0017%12 Jul
anubis7–130.0017%12 Jul
inferno13–11-0.0118%12 Jul
anubis13–11-0.0313%12 Jul
anubis13–70.0415%11 Jul
inferno7–90.0245%11 Jul
vertigo9–20.0840%11 Jul
ancient15–150.0217%11 Jul
dust26–13-0.0415%11 Jul
inferno13–80.0211%10 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches15-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →