Shoebill

Shoebill — CS2 Stats

76561198894668914[U:1:934403186]Steam profile ↗✓ No bans

766Tracked matches28%Win rate2022Tracked since
CSDB Rating4.9 DevelopingPassive Rifler
Premier CS Rating11,945Blue band · top ~44.6% of ranked players (population est.)
CSDB Leaderboard#7055 of 9927 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGShoebillFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER11,945 · Blue bandcsdb.gg/stats

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Performance scores

Aim81
Positioning46
Utility20

0–100 skill scores via Leetify.

Recent form

COLD43525Last 10043%Win rateWLLWLWLLLL

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

Player DNA

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

Aim8.1
Aggression4.4
Utility2.0
Positioning4.6
Opening Duels0.3
Clutch0.0

Excellent counter-strafingStrong CT-side openerLimited utility dependence

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 82% playstyle similarity

Most alike: opening-fight frequency, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 36 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 41% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.1
Positioning4.6
Utility2.0
Mechanics9.2
Opening Duels1.4
Win Impact0.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.00
Reaction time638ms−49ms
first ⅓ avg 687ms → last ⅓ avg 638ms
Headshot accuracy18.9%+3.3%
first ⅓ avg 15.7% → last ⅓ avg 18.9%

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

0.23Best rating — inferno 7–13
130Biggest win — mirage
6Longest win streak
86In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 50% over 6ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2B27131448%-0.02
mirageB26121446%-0.03
cacheB157847%-0.00
ancientC114736%-0.03
nukeC73443%-0.00
infernoB63350%0.02
anubis41325%-0.01
train3030%0.08
vertigo1010%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

21Matches
43%Win rate
0.89Avg K/D
71.7ADR
34%Headshot %

Clutches & streaks

12%1v1 clutch win
27%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke560%0.7010.8
Dust2540%1.1615.8
Mirage540%0.7514.6
Ancient250%0.6910.0
Vertigo250%0.9213.0
Anubis10%1.1820.0
Cache10%1.2520.0

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.

19.2%Headshot accuracy
40.0%Accuracy (enemy spotted)
40.0%Spray accuracy
91.6%Counter-strafing
10.2°Preaim
644msReaction time
21.7%T opening success
40.8%CT opening success
0.18Enemies flashed / flash
3.9%Flash assists
11.52HE damage / grenade
1.17Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1821 — below the 0.5 mark we flag

    Grenade Lineups
  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 21.672% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.0111%28 Aug
mirage7–13-0.0714%27 Aug
dust25–13-0.0818%27 Aug
dust213–40.0622%27 Aug
cache9–130.0927%27 Aug
dust213–110.0323%26 Aug
cache4–130.0535%26 Aug
ancient10–130.0312%26 Aug
anubis4–130.0130%26 Aug
ancient7–13-0.042%26 Aug
dust28–13-0.0516%26 Aug
cache11–13-0.0320%26 Aug
cache13–11-0.0023%26 Aug
inferno13–90.0131%26 Aug
mirage14–16-0.0113%25 Aug
mirage3–60.0322%25 Aug
ancient5–13-0.0533%25 Aug
ancient13–60.0433%25 Aug
mirage14–16-0.0522%25 Aug
dust213–70.0213%24 Aug
mirage5–13-0.058%24 Aug
dust26–130.0819%24 Aug
ancient0–13-0.0831%24 Aug
inferno7–130.2326%24 Aug
dust213–50.0224%23 Aug
ancient9–13-0.070%23 Aug
dust27–10-0.0226%23 Aug
cache10–13-0.0915%23 Aug
mirage15–15-0.0519%23 Aug
mirage11–13-0.106%22 Aug
mirage13–0-0.000%22 Aug
cache6–13-0.0216%22 Aug
mirage13–8-0.0215%22 Aug
dust213–6-0.0414%22 Aug
mirage13–110.0421%22 Aug
inferno13–10-0.0414%21 Aug
ancient10–130.0219%21 Aug
nuke13–5-0.0115%21 Aug
cache13–80.0513%21 Aug
mirage13–50.0319%21 Aug
dust213–8-0.0318%20 Aug
dust29–13-0.0610%20 Aug
mirage7–13-0.1013%20 Aug
cache16–14-0.049%20 Aug
inferno6–13-0.0110%20 Aug
mirage13–10-0.0022%19 Aug
ancient13–9-0.0524%19 Aug
dust213–4-0.0213%18 Aug
nuke13–70.0715%18 Aug
ancient13–11-0.0717%18 Aug
ancient13–11-0.0426%18 Aug
dust21–13-0.0818%17 Aug
mirage12–16-0.0115%17 Aug
mirage13–11-0.067%17 Aug
dust28–13-0.0417%16 Aug
dust211–3-0.0325%16 Aug
cache15–150.0112%16 Aug
nuke13–10-0.0015%16 Aug
dust27–130.034%16 Aug
nuke5–13-0.0114%16 Aug
anubis13–100.0121%16 Aug
dust26–130.0322%15 Aug
dust22–13-0.050%15 Aug
cache15–15-0.0716%15 Aug
cache13–90.0115%15 Aug
inferno13–6-0.058%15 Aug
dust29–13-0.0323%15 Aug
train2–70.1628%15 Aug
train5–13-0.0011%15 Aug
train11–130.099%15 Aug
mirage13–6-0.1120%13 Aug
dust22–13-0.060%13 Aug
ancient12–12-0.0413%13 Aug
nuke3–13-0.0516%13 Aug
dust213–4-0.0910%13 Aug
vertigo0–2-0.070%12 Aug
mirage3–13-0.163%12 Aug
dust213–11-0.0710%12 Aug
mirage13–40.018%12 Aug
nuke3–7-0.0450%12 Aug
mirage5–13-0.0412%12 Aug
mirage13–4-0.0527%12 Aug
dust213–50.0031%11 Aug
nuke15–150.0113%11 Aug
mirage5–130.0111%10 Aug
mirage13–80.0625%10 Aug
cache13–70.0224%9 Aug
anubis10–13-0.0312%9 Aug
cache13–8-0.0210%9 Aug
mirage12–16-0.058%8 Aug
mirage5–13-0.0612%8 Aug
inferno8–13-0.0016%8 Aug
cache13–90.0518%8 Aug
dust25–13-0.0321%8 Aug
dust213–90.009%8 Aug
dust213–8-0.0228%8 Aug
anubis10–13-0.0113%8 Aug
dust210–13-0.0113%8 Aug
mirage13–20.0315%8 Aug
cache5–13-0.0521%8 Aug

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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