Baeilon

Baeilon — CS2 Stats

76561198054479714[U:1:94213986]Steam profile ↗

1,049Tracked matches45%Win rate2020Tracked since
CSDB Rating4.4 Developing
WingmanMaster Guardian I
Ladder ranks via Leetify

Performance scores

Aim53
Positioning36
Utility48

0–100 skill scores via Leetify.

Recent form

COLD43507Last 10043%Win rateLLLLTWLLWW

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

Player DNA

Aim5.3
Aggression3.5
Utility4.8
Positioning3.6
Opening Duels1.0

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 79% playstyle similarity

Most alike: opening-duel success, 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

Areas to improve

T-side openings. Opening success drops from 46% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 632ms 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

Aim5.3
Positioning3.6
Utility4.8
Mechanics5.5
Opening Duels2.0
Win Impact3.3

Composite 4.4/10 (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 -0.02 → last ⅓ avg -0.03
Reaction time639ms+10ms
first ⅓ avg 629ms → last ⅓ avg 639ms
Headshot accuracy13.8%−0.6%
first ⅓ avg 14.4% → last ⅓ avg 13.8%

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.

Highlights

0.11Best rating — inferno 9–5
132Biggest win — fachwerk
6Longest win streak
L4Current streak
86In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 63% over 8officeWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB147750%-0.02
nukeB136746%-0.04
anubisD113827%-0.04
officeD92722%-0.05
ancientC83538%-0.04
overpassC83538%-0.02
cacheC83538%-0.01
trainA85363%0.00
mirageB63350%-0.01
dust2A53260%-0.03
vertigoC52340%0.00
italy32167%-0.04
fachwerk110100%0.01
poseidon1010%-0.03

Across the last 100 tracked matches.

Skill profile

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

13.7%Headshot accuracy
34.5%Accuracy (enemy spotted)
31.5%Spray accuracy
74.9%Counter-strafing
9.3°Preaim
632msReaction time
22.4%T opening success
45.9%CT opening success
0.61Enemies flashed / flash
5.6%Flash assists
6.13HE damage / grenade
5.81Flashes / 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 13.6625% — 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 22.3573% — below the 40% mark we flag

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–130.0010%23 Aug
anubis9–13-0.0813%22 Aug
ancient2–13-0.0815%22 Aug
nuke6–13-0.0211%20 Aug
mirage12–12-0.0620%19 Aug
nuke13–110.009%15 Aug
inferno9–13-0.017%15 Aug
nuke13–16-0.0315%12 Aug
nuke13–60.005%11 Aug
inferno13–10-0.0512%11 Aug
anubis16–14-0.058%1 Aug
office13–10-0.0515%22 Jul
fachwerk13–20.0110%22 Jul
inferno13–9-0.049%22 Jul
inferno9–13-0.048%29 Jun
overpass10–13-0.0311%28 Jun
ancient13–11-0.0811%28 Jun
dust211–13-0.0414%27 Jun
office2–13-0.0910%26 Jun
anubis13–5-0.0214%26 Jun
cache13–40.0818%26 Jun
overpass6–13-0.019%26 Jun
nuke4–13-0.0511%26 Jun
inferno4–9-0.1811%25 Jun
overpass13–110.0318%25 Jun
nuke1–13-0.1217%25 Jun
anubis6–130.0528%19 Jun
mirage13–2-0.0327%19 Jun
train13–60.0518%11 Jun
overpass8–130.0328%11 Jun
anubis8–13-0.0615%11 Jun
nuke16–13-0.0313%11 Jun
mirage15–15-0.0316%9 Jun
overpass6–13-0.0716%9 Jun
overpass13–9-0.0323%7 Jun
inferno5–130.0129%7 Jun
office13–30.0323%6 Jun
dust213–3-0.0117%6 Jun
mirage13–70.0315%6 Jun
inferno13–70.0119%6 Jun
ancient13–110.0110%4 Jun
nuke13–7-0.0220%4 Jun
anubis14–16-0.0610%4 Jun
dust213–10-0.0615%4 Jun
inferno9–10.0910%4 Jun
inferno5–13-0.0316%3 Jun
cache8–13-0.059%3 Jun
overpass10–13-0.0610%3 Jun
vertigo8–80.0528%3 Jun
ancient2–13-0.0517%2 Jun
mirage5–13-0.0215%2 Jun
train8–13-0.0125%28 May
nuke8–13-0.0321%25 May
anubis6–13-0.0515%25 May
cache12–12-0.0221%25 May
office7–13-0.1024%24 May
inferno13–2-0.066%24 May
dust213–110.0026%24 May
office4–13-0.0518%23 May
vertigo4–130.0422%23 May
ancient2–13-0.0618%23 May
cache7–13-0.0629%23 May
office4–13-0.1027%19 May
nuke13–7-0.0111%12 May
inferno10–13-0.0816%12 May
office7–13-0.0721%12 May
cache6–13-0.0416%29 Apr
cache13–20.0420%29 Apr
cache12–12-0.0015%29 Apr
cache13–9-0.0418%29 Apr
nuke11–13-0.119%22 Apr
ancient5–13-0.057%21 Apr
poseidon3–9-0.0313%21 Apr
inferno9–50.1113%21 Apr
inferno11–13-0.0215%19 Apr
train13–9-0.0217%19 Apr
anubis13–30.049%17 Apr
ancient13–30.0219%17 Apr
train9–13-0.0215%17 Apr
vertigo9–7-0.138%17 Apr
anubis8–13-0.0217%16 Apr
nuke13–8-0.057%16 Apr
inferno13–50.0616%16 Apr
vertigo11–13-0.0219%16 Apr
overpass13–11-0.0117%16 Apr
train13–5-0.0612%10 Apr
train13–6-0.0115%9 Apr
dust212–12-0.0413%8 Apr
vertigo13–40.0810%8 Apr
italy13–10-0.0718%8 Apr
train13–30.049%5 Apr
office3–13-0.025%5 Apr
italy13–7-0.0218%5 Apr
mirage13–70.0432%3 Apr
train12–120.0418%3 Apr
italy11–13-0.0317%1 Apr
anubis10–13-0.099%1 Apr
ancient6–13-0.0424%31 Mar
anubis5–13-0.079%28 Mar
office5–13-0.0211%28 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 →