Edward Blom™

Edward Blom™ — CS2 Stats

SE76561199442961446[U:1:1482695718]Steam profile ↗✓ No bans

546Tracked matches55%Win rate2025Tracked since
300Hours in CS
CSDB Rating5.7 SolidPositional Player
Premier CS Rating4,629Grey band · top ~80.4% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Oct 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 4,629 -73 29 Jun – 12 Oct · 31 days played
2,7475,422peak 5,42229 Jun12 Oct
5,474Peak Premier in tracked matches
43Days played since 2026-06-29

Premier CS Rating

  • 793 below peak (5,422)
  • +1,503 over 30 days · improving
  • -370 over 90 days
  • Next: Light Blue band at 5,000 — 371 to go
  • Reached: Light Blue band

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

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate50.5%38.2%39.9%above
Shot accuracy0.7%3.6%7.0%6.2% short
Kill/death ratio1.130.830.92above
Match win rate51.5%40.2%42.3%above

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGEdward Blom™PREMIER4,629 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim66
Positioning62
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLLLLWLTWWW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −1.0pp headshot accuracy · −11ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 561ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 562ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 567ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim6.6
Utility4.7
Positioning6.2
Opening Duels3.8

Strong CT-side opener

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

donk

Plays most like donk 87% 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

Strengths

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 593ms 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

Aim6.6
Positioning6.2
Utility4.7
Mechanics6.1
Opening Duels7.8
Win Impact6.7

Composite 5.7/10 (Solid), 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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time585ms−15ms
first ⅓ avg 600ms → last ⅓ avg 585ms
Headshot accuracy16.9%+3.9%
first ⅓ avg 13.0% → last ⅓ avg 16.9%

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.

Personal bests

0.16Best match rating · 9–7 · inferno, 22 Sept →
33%Best headshot accuracy · 9–7 · inferno, 22 Sept →
406msFastest reaction time · 9–4 · inferno, 8 Oct →
13–1Biggest win · nuke, 1 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L4Current streak
6–4In matches decided by ≤2 rounds
14Overtime games

Map breakdown

mirageBest map · 72% over 18dust2Weakest map · 39% over 18
MapGradePlayedRecordWin rateAvg rating
dust2C187–1139%0.01
mirageS1813–572%0.02
nukeB189–950%0.00
infernoB157–847%-0.03
ancientB126–650%-0.00
anubisC94–544%-0.02
cacheC94–544%-0.02
overpass—10–10%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

16,906Lifetime kills
1.13K/D · Top 10% of Grey band
1,000Matches
51.5%Match win rate · Top 5% of Grey band
50.5%Headshot % · Top 10% of Grey band
0.7%Shot accuracy
3,129MVPs
300Hours (in match)
543Bombs planted
175Bombs defused

Most-used weapons

Lifetime map wins

2,179dust2
2,156nuke
1,374inferno
87train
83vertigo
13italy

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

Skill profile

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

15.3%Headshot accuracy
36.9%Accuracy (enemy spotted)
36.4%Spray accuracy
77.4%Counter-strafing
10.0°Preaim
593msReaction time
67.7%T opening success
54.5%CT opening success
0.53Enemies flashed / flash
7.1%Flash assists
5.70HE damage / grenade
10.12Flashes / 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.

39% win rate across 18 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
dust210–13-0.0612%12 Oct →
anubis9–13-0.059%11 Oct →
ancient2–70.0028%11 Oct →
ancient10–13-0.0210%11 Oct →
dust213–70.0216%11 Oct →
cache9–13-0.0413%9 Oct →
cache15–15-0.048%8 Oct →
mirage13–4-0.0428%8 Oct →
inferno9–4-0.2027%8 Oct →
inferno13–9-0.0416%8 Oct →
cache13–8-0.0217%8 Oct →
ancient10–130.1020%8 Oct →
mirage13–10-0.0621%8 Oct →
nuke13–100.0319%6 Oct →
dust26–130.0126%6 Oct →
dust213–40.0622%6 Oct →
anubis13–8-0.0610%6 Oct →
mirage13–90.009%5 Oct →
cache13–80.0311%5 Oct →
mirage8–13-0.0421%28 Sept →
inferno13–110.0411%28 Sept →
nuke16–13-0.0314%28 Sept →
cache13–60.0418%28 Sept →
nuke11–13-0.057%28 Sept →
ancient11–130.0212%25 Sept →
mirage5–13-0.0616%24 Sept →
inferno4–9-0.1218%24 Sept →
mirage13–30.0625%24 Sept →
nuke4–13-0.0217%23 Sept →
inferno16–14-0.0214%23 Sept →
nuke13–6-0.0211%22 Sept →
inferno9–70.1633%22 Sept →
dust213–160.0918%22 Sept →
mirage16–140.0216%22 Sept →
inferno6–13-0.0419%21 Sept →
ancient13–8-0.0217%21 Sept →
inferno8–8-0.0020%21 Sept →
inferno8–13-0.0930%21 Sept →
dust212–16-0.0114%14 Sept →
dust213–8-0.058%14 Sept →
inferno9–130.0127%10 Sept →
nuke6–130.019%8 Sept →
ancient5–13-0.130%8 Sept →
nuke13–50.0018%30 Aug →
mirage13–8-0.095%27 Aug →
ancient13–70.0417%27 Aug →
mirage13–10-0.0216%25 Aug →
anubis13–80.1015%25 Aug →
nuke13–100.0217%24 Aug →
mirage13–50.0819%24 Aug →
mirage13–100.0314%22 Aug →
nuke9–13-0.0618%20 Aug →
nuke8–130.0219%20 Aug →
inferno9–4-0.0627%19 Aug →
dust210–13-0.0116%18 Aug →
mirage13–60.0713%18 Aug →
inferno7–9-0.098%13 Aug →
inferno3–9-0.1118%13 Aug →
inferno9–50.0520%13 Aug →
dust28–130.0119%13 Aug →
cache13–100.039%13 Aug →
anubis13–7-0.0218%10 Aug →
dust216–140.0020%3 Aug →
mirage13–80.0421%1 Aug →
mirage13–80.0813%1 Aug →
mirage12–160.0812%31 Jul →
ancient13–30.0122%30 Jul →
ancient13–100.0125%30 Jul →
anubis8–13-0.0212%30 Jul →
nuke10–130.0414%29 Jul →
mirage6–130.0017%27 Jul →
dust214–16-0.0210%19 Jul →
dust215–150.0521%19 Jul →
dust213–80.1215%19 Jul →
nuke1–9-0.1425%19 Jul →
ancient16–130.0916%19 Jul →
dust213–80.019%18 Jul →
cache5–13-0.0812%17 Jul →
dust29–130.0114%17 Jul →
nuke7–13-0.072%17 Jul →
anubis13–90.019%15 Jul →
anubis8–13-0.0225%15 Jul →
dust213–60.088%14 Jul →
cache7–13-0.0114%14 Jul →
dust25–13-0.1014%14 Jul →
mirage13–50.0814%14 Jul →
mirage13–160.0917%14 Jul →
dust27–13-0.028%13 Jul →
cache1–13-0.109%11 Jul →
nuke13–40.0612%4 Jul →
overpass9–13-0.077%4 Jul →
ancient0–13-0.100%4 Jul →
anubis13–16-0.0516%4 Jul →
nuke9–130.1312%2 Jul →
anubis2–13-0.069%2 Jul →
inferno4–13-0.029%1 Jul →
nuke13–10.0514%1 Jul →
nuke13–40.0914%30 Jun →
nuke13–90.0218%29 Jun →
ancient16–14-0.009%29 Jun →

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 →

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