Mailman bOOf

Mailman bOOf — CS2 Stats

76561198037196108[U:1:76930380]Steam profile ↗✓ No bans

2,546Tracked matches35%Win rate2020Tracked since
2,005Hours in CS
CSDB Rating4.1 DevelopingSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGMailman bOOfFACEITLevel 6STANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim41
Positioning41
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY385012Last 10038%Win rateLTWLWWWLTW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim4.1
Aggression3.6
Utility7.4
Positioning4.1
Opening Duels0.2

Strong CT-side openerEffective flashes

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 77% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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

Strengths

Flashes. 0.83 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 39% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 637ms 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

Aim4.1
Positioning4.1
Utility7.4
Mechanics5.4
Opening Duels1.1
Win Impact0.0

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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time638ms+25ms
first ⅓ avg 613ms → last ⅓ avg 638ms
Headshot accuracy11.1%+2.2%
first ⅓ avg 8.9% → last ⅓ avg 11.1%

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

0.10Best rating — ancient 13–11
131Biggest win — train
4Longest win streak
25In matches decided by ≤2 rounds

Map breakdown

overpassBest map · 56% over 9ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
anubisC167944%-0.02
nukeD1441029%-0.03
ancientD1331023%-0.03
trainD124833%-0.00
vertigoB115645%0.00
infernoC114736%-0.02
overpassA95456%0.01
boulder42250%0.01
dust231233%0.01
fachwerk31233%-0.05
cache21150%-0.02
mirage21150%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,611Lifetime kills
0.87K/D
5,008Matches
45.8%Match win rate
36.0%Headshot %
8.7%Shot accuracy
9,638MVPs
2,005Hours (in match)
6,305Bombs planted
978Bombs defused

Most-used weapons

AK-4721,746
FAMAS4,623
AWP2,946
MAC-102,573
MP92,198

Lifetime map wins

8,039dust2
7,174inferno
4,786nuke
3,319train
3,152vertigo
146lake
80bank
57sugarcane

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

Faceit stats

Combat

50Matches
56%Win rate
0.82Avg K/D
ADR
34%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1464%0.8612.1
Nuke1164%1.0014.8
Vertigo933%0.6711.1
Ancient729%0.6511.7
Overpass580%0.6916.8
Inferno3100%1.0315.0
Mirage10%0.6111.0

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.

9.9%Headshot accuracy
32.6%Accuracy (enemy spotted)
36.6%Spray accuracy
74.3%Counter-strafing
11.4°Preaim
637msReaction time
22.9%T opening success
38.9%CT opening success
0.83Enemies flashed / flash
5.7%Flash assists
9.04HE damage / grenade
9.28Flashes / 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 9.9145% — 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 22.8824% — below the 40% mark we flag

Spend your practice time on Ancient

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache0–13-0.0211%8 Aug
ancient12–12-0.094%6 Aug
anubis13–8-0.0010%4 Aug
overpass2–13-0.109%4 Aug
boulder13–40.0110%4 Aug
vertigo13–7-0.0314%3 Aug
mirage13–3-0.0623%3 Aug
ancient8–13-0.109%28 Jul
anubis12–120.0113%28 Jul
train13–100.066%24 Jul
vertigo10–13-0.0011%24 Jul
nuke13–7-0.094%19 Jul
boulder11–130.027%19 Jul
train12–12-0.0114%19 Jul
vertigo5–13-0.0016%19 Jul
anubis5–13-0.0611%19 Jul
anubis11–130.016%18 Jul
mirage6–13-0.098%18 Jul
dust213–30.059%18 Jul
nuke5–13-0.049%18 Jul
nuke12–12-0.0110%14 Jul
inferno13–10-0.0111%14 Jul
fachwerk10–13-0.0612%14 Jul
boulder13–100.0210%14 Jul
anubis8–13-0.013%9 Jul
inferno10–13-0.0421%9 Jul
vertigo10–13-0.018%9 Jul
nuke11–13-0.069%9 Jul
fachwerk6–13-0.044%9 Jul
boulder3–13-0.027%9 Jul
fachwerk5–2-0.0329%9 Jul
dust27–13-0.0219%5 Jul
train8–13-0.0319%5 Jul
nuke13–9-0.016%5 Jul
overpass13–60.0422%5 Jul
anubis13–60.019%5 Jul
ancient7–130.0010%4 Jul
nuke5–13-0.066%4 Jul
anubis13–11-0.076%3 Jul
inferno3–13-0.110%2 Jul
anubis13–10-0.095%2 Jul
ancient11–13-0.094%2 Jul
train13–60.088%30 Jun
anubis9–130.0314%30 Jun
ancient12–12-0.0520%27 Jun
nuke13–30.0514%27 Jun
train12–120.028%27 Jun
ancient4–13-0.0514%19 Jun
cache13–7-0.0112%19 Jun
overpass13–30.036%18 Jun
anubis13–100.0310%18 Jun
train3–13-0.0814%18 Jun
inferno8–13-0.0913%18 Jun
nuke4–13-0.076%16 Jun
vertigo13–100.0411%16 Jun
overpass10–130.026%14 Jun
anubis13–40.0012%14 Jun
train4–13-0.109%14 Jun
vertigo13–70.0215%14 Jun
ancient6–13-0.047%14 Jun
inferno13–40.0416%14 Jun
nuke10–130.027%14 Jun
overpass6–130.0612%14 Jun
anubis12–12-0.0415%14 Jun
inferno13–9-0.0210%14 Jun
dust24–13-0.012%14 Jun
vertigo6–130.029%14 Jun
vertigo9–0-0.0011%14 Jun
train12–12-0.026%14 Jun
nuke13–80.0812%13 Jun
anubis0–12-0.1015%13 Jun
inferno6–130.014%13 Jun
train1–13-0.057%13 Jun
ancient8–13-0.037%13 Jun
nuke2–13-0.0910%13 Jun
inferno10–13-0.0919%12 Jun
overpass12–12-0.025%12 Jun
anubis11–13-0.018%12 Jun
ancient8–13-0.0412%12 Jun
overpass13–80.046%10 Jun
vertigo13–70.053%10 Jun
inferno13–60.0211%10 Jun
train13–10.077%10 Jun
nuke5–13-0.077%10 Jun
inferno12–12-0.0010%8 Jun
anubis13–3-0.0111%7 Jun
vertigo6–13-0.0114%7 Jun
ancient5–13-0.035%7 Jun
train3–13-0.014%7 Jun
overpass13–100.0212%7 Jun
nuke12–12-0.0315%7 Jun
ancient13–20.044%7 Jun
anubis12–12-0.0511%7 Jun
train13–70.0612%7 Jun
vertigo5–13-0.069%7 Jun
inferno3–130.0713%7 Jun
ancient13–110.103%6 Jun
nuke8–13-0.0110%5 Jun
overpass13–5-0.037%3 Jun
ancient13–1-0.055%3 Jun

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 →