FeMbOy — CS2 Stats

76561199588357444[U:1:1628091716]

584Tracked matches31%Win rate2023Tracked since
CSDB Rating2.0 Learning
Premier CS Rating4,599Grey band · top ~80.5% of ranked players (population est.)
CSDB Leaderboard#12956 of 16886 tracked
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGFeMbOyPREMIER4,599 · Grey bandcsdb.gg/stats

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Performance scores

Aim21
Positioning27
Utility41

0–100 skill scores via Leetify.

Recent form

COLD37567Last 10037%Win rateWLLLLLLLWW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim2.1
Aggression0.8
Utility4.1
Positioning2.7
Opening Duels0.0

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 62% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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 36% on CT to 9% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 622ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 60% 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

Aim2.1
Positioning2.7
Utility4.1
Mechanics2.2
Opening Duels0.8
Win Impact0.0

Composite 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time629ms−54ms
first ⅓ avg 683ms → last ⅓ avg 629ms
Headshot accuracy13.1%+0.9%
first ⅓ avg 12.1% → last ⅓ avg 13.1%

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

0.22Best rating — vertigo 9–0
130Biggest win — dust2
4Longest win streak
47In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 70% over 10mirageWeakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
dust2C2071335%-0.05
nukeC1761135%-0.05
ancientD1651131%-0.04
mirageD123925%-0.07
infernoD124833%-0.07
cacheS107370%-0.05
anubis42250%-0.05
vertigo32167%0.02
overpass2020%-0.02
fachwerk110100%0.02
eldorado1010%-0.06
poseidon1010%-0.19
train1010%-0.09

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.7%Headshot accuracy
27.6%Accuracy (enemy spotted)
22.4%Spray accuracy
59.7%Counter-strafing
10.7°Preaim
622msReaction time
8.6%T opening success
36.0%CT opening success
0.62Enemies flashed / flash
2.3%Flash assists
7.69HE damage / grenade
5.94Flashes / 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 12.6865% — 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 8.6178% — below the 40% mark we flag

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.

25% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0310%28 Aug
ancient11–13-0.0110%28 Aug
nuke5–13-0.018%28 Aug
mirage0–6-0.040%28 Aug
dust21–13-0.1150%28 Aug
ancient8–13-0.110%28 Aug
ancient3–13-0.095%28 Aug
inferno4–13-0.059%27 Aug
fachwerk13–10.025%27 Aug
cache13–6-0.0113%27 Aug
ancient7–13-0.0611%27 Aug
ancient13–11-0.0521%26 Aug
nuke4–13-0.117%26 Aug
mirage13–8-0.0711%24 Aug
eldorado6–9-0.0616%24 Aug
nuke13–7-0.094%24 Aug
inferno9–10.049%24 Aug
nuke4–13-0.0417%23 Aug
ancient9–3-0.0422%23 Aug
dust28–13-0.0610%23 Aug
nuke5–13-0.0814%23 Aug
ancient6–13-0.065%23 Aug
mirage10–13-0.0712%22 Aug
poseidon4–9-0.190%22 Aug
dust21–13-0.0817%22 Aug
dust22–13-0.0517%22 Aug
vertigo9–00.2221%22 Aug
overpass10–13-0.033%21 Aug
cache13–5-0.1315%19 Aug
dust213–0-0.0218%19 Aug
cache3–13-0.0530%19 Aug
nuke12–12-0.0716%18 Aug
dust25–13-0.0128%18 Aug
vertigo6–9-0.1311%18 Aug
nuke2–13-0.054%18 Aug
inferno11–13-0.0618%18 Aug
mirage6–13-0.087%18 Aug
cache13–50.078%15 Aug
dust28–13-0.0916%15 Aug
ancient2–13-0.0514%15 Aug
anubis7–13-0.105%15 Aug
cache13–9-0.069%14 Aug
inferno12–12-0.1211%11 Aug
dust213–10.017%11 Aug
inferno11–13-0.069%11 Aug
nuke6–13-0.0918%10 Aug
ancient9–13-0.069%9 Aug
dust213–4-0.036%9 Aug
dust211–13-0.0115%5 Aug
dust213–6-0.0317%5 Aug
ancient9–13-0.086%2 Aug
dust28–13-0.0818%1 Aug
inferno16–14-0.097%1 Aug
nuke8–13-0.077%1 Aug
inferno3–9-0.190%1 Aug
mirage11–13-0.0211%1 Aug
cache13–8-0.086%1 Aug
mirage13–9-0.128%1 Aug
nuke13–80.0114%1 Aug
nuke13–9-0.062%1 Aug
mirage3–13-0.0414%31 Jul
vertigo13–11-0.039%31 Jul
dust25–13-0.0510%31 Jul
cache4–13-0.0918%29 Jul
train12–12-0.097%29 Jul
nuke10–13-0.0316%28 Jul
mirage1–13-0.0917%28 Jul
dust213–2-0.0430%27 Jul
inferno13–6-0.0912%27 Jul
dust213–4-0.0325%26 Jul
ancient13–3-0.0117%26 Jul
overpass12–12-0.016%26 Jul
nuke9–4-0.0313%26 Jul
inferno9–40.0215%26 Jul
cache2–13-0.0423%25 Jul
cache13–9-0.0213%25 Jul
dust29–13-0.037%25 Jul
dust210–13-0.036%25 Jul
dust28–13-0.1015%25 Jul
inferno8–80.0325%25 Jul
mirage13–10-0.088%22 Jul
inferno1–9-0.270%22 Jul
ancient7–13-0.045%22 Jul
mirage7–13-0.103%22 Jul
ancient12–120.015%22 Jul
nuke13–8-0.047%21 Jul
cache13–11-0.0610%21 Jul
anubis13–5-0.015%21 Jul
anubis7–13-0.072%21 Jul
nuke15–15-0.0611%21 Jul
ancient5–7-0.0123%20 Jul
ancient13–40.0511%20 Jul
nuke13–50.0213%20 Jul
mirage8–13-0.089%19 Jul
mirage10–13-0.108%19 Jul
inferno11–13-0.0012%19 Jul
dust213–0-0.0522%19 Jul
dust24–13-0.053%18 Jul
nuke3–13-0.066%18 Jul
ancient13–00.0330%18 Jul

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 →