Edward Boom

Edward Boom — CS2 Stats

NG76561197998510268[U:1:38244540]Steam profile ↗✓ No bans

3,891Tracked matches64%Win rate2020Tracked since
CSDB Rating6.1 SolidSupport
Premier CS Rating15,617Purple band · top ~25.9% of ranked players (population est.)
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 3,891 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,617 +2,045 30 Jun – 6 Nov · 26 days played
10,75916,003peak 16,00330 Jun6 Nov
16,127Peak Premier in tracked matches
31Days played since 2026-06-30

Premier CS Rating

  • 386 below peak (16,003)
  • 0 over 30 days · steady
  • +507 over 90 days
  • Next: Pink band at 20,000 — 4,383 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGEdward BoomFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER15,617 · Purple bandcsdb.gg/stats

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Performance scores

Aim51
Positioning58
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY54–42–4Last 10054%Win rateWLWWTWLWLW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −4.8pp headshot accuracy · −40ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 605ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 610ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 630ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+0.9 against its own average).

Aim5.1
Utility6.2
Positioning5.8
Opening Duels5.7
Clutch3.6

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

device

Plays most like device 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 652ms 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

Aim5.1
Positioning5.8
Utility6.2
Mechanics6.6
Opening Duels5.0
Win Impact9.8

Composite 6.1/10 (Solid), 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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time650ms−43ms
first ⅓ avg 693ms → last ⅓ avg 650ms
Headshot accuracy15.0%+3.9%
first ⅓ avg 11.1% → last ⅓ avg 15.0%

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.

Personal bests

0.17Best match rating · 13–5 · nuke, 30 Jun →
33%Best headshot accuracy · 5–13 · inferno, 25 Jul →
500msFastest reaction time · 13–11 · ancient, 28 Jul →
13–0Biggest win · inferno, 14 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
11–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 80% over 5dust2Weakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA2916–1355%0.01
cacheA1811–761%0.01
ancientC145–936%-0.00
nukeS128–467%0.06
dust2D103–730%0.01
anubisS96–367%0.04
mirageS54–180%-0.03
debris—10–10%-0.13
train—10–10%-0.04
cbble_d—11–0100%0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

193Matches
53%Win rate
1.01Avg K/D
76.0ADR
39%Headshot %

Clutches & streaks

38%1v1 clutch win
23%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno4560%1.1315.1
Ancient3653%1.0614.3
Nuke2868%1.0915.2
Cache2232%0.8213.6
Overpass1878%1.0218.0
Dust21331%0.9614.7
Anubis944%0.9614.4
Mirage425%0.7613.3

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.

15.0%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.5%Spray accuracy
79.7%Counter-strafing
11.4°Preaim
652msReaction time
44.6%T opening success
55.5%CT opening success
0.50Enemies flashed / flash
6.3%Flash assists
14.03HE damage / grenade
8.11Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–40.059%3 Oct →
inferno8–13-0.0613%4 Sept →
nuke13–100.0516%4 Sept →
anubis13–40.025%3 Sept →
inferno15–150.0114%28 Aug →
mirage16–130.009%28 Aug →
mirage9–13-0.1018%21 Aug →
inferno13–80.0215%21 Aug →
inferno10–130.0311%13 Aug →
nuke13–30.1218%13 Aug →
dust213–40.0212%13 Aug →
inferno11–50.0719%13 Aug →
nuke9–130.0316%10 Aug →
dust215–15-0.026%10 Aug →
nuke6–130.0631%10 Aug →
inferno13–5-0.0415%9 Aug →
cache16–14-0.0215%9 Aug →
ancient8–13-0.0417%5 Aug →
cache13–110.0322%5 Aug →
nuke13–60.1123%5 Aug →
cache13–110.0113%31 Jul →
ancient5–130.019%30 Jul →
nuke11–130.0314%30 Jul →
inferno16–12-0.0026%30 Jul →
inferno13–20.0224%28 Jul →
ancient13–11-0.0218%28 Jul →
nuke9–13-0.0115%27 Jul →
dust210–130.0413%26 Jul →
cache13–100.0113%26 Jul →
ancient13–110.057%26 Jul →
inferno13–110.0113%26 Jul →
anubis13–60.048%26 Jul →
inferno13–80.0418%26 Jul →
inferno13–4-0.0617%26 Jul →
inferno16–140.0612%25 Jul →
dust211–130.0418%25 Jul →
ancient9–130.0116%25 Jul →
inferno8–13-0.0618%25 Jul →
dust211–130.0423%25 Jul →
anubis9–10.1513%25 Jul →
cache13–60.028%25 Jul →
nuke13–60.1517%25 Jul →
inferno5–130.0733%25 Jul →
dust26–13-0.0320%25 Jul →
ancient11–130.043%23 Jul →
inferno6–13-0.0113%23 Jul →
inferno11–130.0115%22 Jul →
cache13–10-0.0216%22 Jul →
inferno11–13-0.0113%22 Jul →
cache15–150.0422%21 Jul →
anubis13–9-0.006%21 Jul →
cache15–15-0.0413%21 Jul →
inferno13–4-0.0111%21 Jul →
inferno8–13-0.0416%20 Jul →
dust28–13-0.0418%20 Jul →
debris2–9-0.139%20 Jul →
inferno11–13-0.0112%16 Jul →
mirage13–11-0.0310%16 Jul →
nuke13–60.0224%16 Jul →
ancient13–90.0610%16 Jul →
anubis16–140.016%15 Jul →
mirage13–7-0.038%15 Jul →
anubis7–130.0811%15 Jul →
ancient13–80.0911%15 Jul →
inferno13–10.0133%15 Jul →
ancient7–13-0.0312%14 Jul →
dust216–140.0516%14 Jul →
anubis4–13-0.0410%14 Jul →
cache13–30.069%14 Jul →
inferno13–00.1615%14 Jul →
cache13–8-0.0112%13 Jul →
nuke16–120.0113%13 Jul →
inferno10–13-0.0212%13 Jul →
inferno10–13-0.036%13 Jul →
inferno13–50.157%12 Jul →
cache13–20.148%12 Jul →
ancient4–13-0.078%12 Jul →
cache11–13-0.024%11 Jul →
nuke16–14-0.014%11 Jul →
cache5–13-0.017%11 Jul →
inferno13–60.0014%11 Jul →
cache10–13-0.0316%11 Jul →
ancient13–9-0.017%11 Jul →
inferno13–80.049%11 Jul →
anubis13–160.0312%10 Jul →
dust27–13-0.0219%9 Jul →
ancient7–13-0.019%9 Jul →
ancient4–13-0.085%9 Jul →
cache9–13-0.0714%8 Jul →
train2–13-0.0415%8 Jul →
cache13–9-0.0219%8 Jul →
cache8–130.0510%7 Jul →
cbble_d13–80.0719%7 Jul →
inferno11–13-0.0311%3 Jul →
mirage13–9-0.008%3 Jul →
dust213–10-0.0117%3 Jul →
nuke13–50.1711%30 Jun →
inferno13–30.0414%30 Jun →
ancient8–13-0.008%30 Jun →
anubis13–80.0414%30 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.