Ed Sheerac

Ed Sheerac — CS2 Stats

FR76561198008086479[U:1:47820751]Steam profile ↗✓ No bans

194Tracked matches61%Win rate2026Tracked since
225Hours in CS39Hrs last 2 wks
CSDB Rating3.7 Learning
Premier CS Rating8,805Light Blue band · top ~60.6% of ranked players (population est.)
CSDB Leaderboard#19732 of 26487 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate34.8%40.1%41.7%6.8% short
Shot accuracy3.9%7.6%8.8%4.9% short
Kill/death ratio0.740.920.970.23 short
Match win rate40.0%42.2%43.8%3.8% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGEd SheeracPREMIER8,805 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim36
Positioning47
Utility38

0–100 skill scores via Leetify.

Recent form

STEADY55405Last 10055%Win rateLLLWWLWTLW

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Aim3.6
Aggression6.5
Utility3.8
Positioning4.7
Opening Duels1.8
Clutch0.0

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 77% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 614ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.6
Positioning4.7
Utility3.8
Mechanics2.6
Opening Duels2.2
Win Impact8.6

Composite 3.7/10 (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 rating0.01+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time609ms−16ms
first ⅓ avg 625ms → last ⅓ avg 609ms
Headshot accuracy10.4%−0.5%
first ⅓ avg 10.8% → last ⅓ avg 10.4%

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

0.29Best rating — dust2 3–0
130Biggest win — ancient
6Longest win streak
L3Current streak
1Overtime games

Map breakdown

dust2Best map · 67% over 12nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA22121055%-0.01
ancientS1711665%-0.01
cacheB126650%-0.02
dust2S128467%0.02
anubisA117464%0.01
nukeD93633%0.00
mirageC73443%-0.04
vertigo42250%-0.03
train31233%-0.01
fachwerk220100%-0.02
boulder1010%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

4,417Lifetime kills
0.74K/D
418Matches
40.0%Match win rate
34.8%Headshot %
3.9%Shot accuracy
465MVPs
123Hours (in match)
244Bombs planted
48Bombs defused

Most-used weapons

Lifetime map wins

522dust2
456inferno
215nuke
120vertigo
31train
19lake
10bank
9safehouse

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

Faceit stats

Combat

5Matches
40%Win rate
0.43Avg K/D
46.7ADR
48%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno10%0.509.0
Cache10%0.132.0
Dust21100%0.123.0
Mirage1100%1.0013.0
Nuke10%0.417.0

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.

10.6%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.4%Spray accuracy
61.7%Counter-strafing
10.9°Preaim
614msReaction time
27.2%T opening success
47.3%CT opening success
0.50Enemies flashed / flash
1.4%Flash assists
2.88HE damage / grenade
9.25Flashes / 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 10.5833% — 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 27.1847% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–130.039%28 Aug
inferno5–13-0.0619%28 Aug
mirage10–13-0.084%28 Aug
nuke13–4-0.017%28 Aug
cache13–80.0116%27 Aug
inferno5–130.0417%27 Aug
dust213–1-0.0111%27 Aug
nuke12–120.0513%24 Aug
dust28–13-0.0215%24 Aug
anubis13–60.0115%24 Aug
dust213–70.038%24 Aug
anubis13–50.0617%24 Aug
dust23–13-0.0517%23 Aug
ancient13–20.0512%23 Aug
mirage9–13-0.1011%23 Aug
cache4–13-0.0816%22 Aug
ancient4–00.140%22 Aug
anubis13–40.1410%22 Aug
fachwerk13–6-0.016%21 Aug
anubis15–150.015%21 Aug
inferno3–13-0.012%21 Aug
ancient13–20.048%21 Aug
cache13–60.0114%21 Aug
ancient13–00.0120%21 Aug
inferno13–40.0711%21 Aug
anubis3–13-0.072%20 Aug
ancient13–5-0.029%20 Aug
nuke1–13-0.0810%20 Aug
anubis13–7-0.007%20 Aug
inferno6–4-0.030%20 Aug
anubis13–40.0210%20 Aug
cache6–130.0412%20 Aug
dust28–130.059%20 Aug
dust213–2-0.028%19 Aug
inferno6–20.0225%19 Aug
mirage2–13-0.056%19 Aug
inferno5–13-0.0529%19 Aug
fachwerk13–7-0.029%19 Aug
vertigo5–13-0.022%18 Aug
inferno13–80.0315%18 Aug
mirage6–13-0.0610%17 Aug
inferno10–13-0.097%17 Aug
nuke6–13-0.078%17 Aug
inferno13–00.0415%17 Aug
nuke13–90.1411%17 Aug
inferno3–13-0.094%17 Aug
dust23–00.2931%17 Aug
boulder0–130.0116%16 Aug
inferno13–110.017%16 Aug
vertigo4–13-0.095%16 Aug
ancient7–13-0.026%15 Aug
vertigo13–50.0060%15 Aug
vertigo13–3-0.030%15 Aug
mirage13–10-0.067%15 Aug
anubis13–8-0.012%15 Aug
mirage13–10.086%15 Aug
mirage13–10-0.0610%15 Aug
cache12–12-0.066%15 Aug
inferno13–80.017%15 Aug
inferno12–12-0.0610%15 Aug
ancient13–4-0.084%15 Aug
nuke13–9-0.0112%15 Aug
dust21–13-0.0915%14 Aug
inferno13–00.0414%14 Aug
ancient5–13-0.0312%14 Aug
inferno6–13-0.059%14 Aug
ancient13–100.027%14 Aug
ancient13–7-0.0610%14 Aug
anubis8–13-0.089%13 Aug
cache6–13-0.0311%13 Aug
ancient6–13-0.098%13 Aug
nuke2–130.008%13 Aug
ancient7–13-0.027%13 Aug
inferno13–80.019%13 Aug
cache13–90.0610%13 Aug
anubis3–130.0114%12 Aug
train6–13-0.0316%12 Aug
dust213–50.0015%12 Aug
ancient13–70.0213%12 Aug
cache0–3-0.080%12 Aug
cache13–5-0.024%12 Aug
train12–12-0.027%12 Aug
ancient4–13-0.088%12 Aug
train13–20.0110%12 Aug
cache13–5-0.076%12 Aug
cache13–4-0.018%12 Aug
nuke5–13-0.036%11 Aug
inferno13–10-0.0615%11 Aug
inferno2–13-0.078%11 Aug
dust213–5-0.0418%11 Aug
anubis13–70.0621%11 Aug
ancient13–10-0.009%11 Aug
inferno13–80.0716%11 Aug
inferno10–13-0.0413%10 Aug
cache10–13-0.0212%10 Aug
ancient9–13-0.047%10 Aug
inferno13–6-0.0318%10 Aug
dust213–70.026%10 Aug
dust213–50.0418%10 Aug
ancient13–2-0.0117%10 Aug

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →