Acedion

Acedion — CS2 Stats

76561198175868771[U:1:215603043]Steam profile ↗✓ No bans

3,519Tracked matches60%Win rate2020Tracked since
7,145Hours in CS111Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
FaceitLevel 9 · 1,595 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (37 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,595 → 1,595
+338Tracked matches · now 3,519
0.0ppWin rate · 60.0% → 60.0%

Rating over time

1,595Highest Faceit ELO seen on CSDB
43Days played since 2026-08-07

Faceit ELO

  • At peak — 1,595
  • Next: Level 9 at 1,751 — 156 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-18
  • Level 7 first seen 2026-09-18

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,119), 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 playerLevel 9 medianLevel 10 medianvs Level 10
Headshot rate34.6%48.2%50.9%16.4% short
Shot accuracy18.3%13.2%13.7%above
Kill/death ratio1.041.071.090.05 short
Match win rate52.2%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAcedionFACEITLevel 9 · 1,595 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,595csdb.gg/stats

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Performance scores

Aim65
Positioning71
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateWLLWWWLWLL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +2.1pp headshot accuracy · −8ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 613ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 580ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 584ms

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 (+2.3 against its own average).

Aim6.5
Utility1.7
Positioning7.1
Opening Duels6.2
Clutch4.0

Limited 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.

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

s1mple

Plays most like s1mple 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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

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

Areas to improve

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

Reaction time. 567ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim6.5
Positioning7.1
Utility1.7
Mechanics3.8
Opening Duels8.0
Win Impact8.3

Composite 5.5/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time571ms+25ms
first ⅓ avg 546ms → last ⅓ avg 571ms
Headshot accuracy19.5%−1.2%
first ⅓ avg 20.8% → last ⅓ avg 19.5%

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

0.15Best match rating · 13–7 · ancient, 15 Oct →
42%Best headshot accuracy · 11–13 · inferno, 26 Sept →
375msFastest reaction time · 13–7 · inferno, 1 Sept →
13–2Biggest win · nuke, 3 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
13–6In matches decided by ≤2 rounds
20Overtime games

Map breakdown

infernoBest map · 75% over 28ancientWeakest map · 50% over 24
MapGradePlayedRecordWin rateAvg rating
nukeA2816–1257%0.03
infernoS2821–775%0.02
ancientB2412–1250%0.01
cacheA95–456%-0.01
dust2—42–250%0.03
vertigo—41–325%-0.02
anubis—20–20%0.02
mirage—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 24). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

167,342Lifetime kills
1.04K/D
7,711Matches
52.2%Match win rate · Top 25% of Level 9 players
34.6%Headshot %
18.3%Shot accuracy · Top 10% of Level 9 players
24,838MVPs
3,959Hours (in match)
9,935Bombs planted
2,437Bombs defused

Most-used weapons

AWP38,382
AK-4734,371
MAC-109,610
MP95,722
Knife3,508

Lifetime map wins

25,606inferno
23,743nuke
11,528dust2
4,504train
4,404vertigo
307cbble
35italy
21stmarc

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

Faceit stats

Combat

3,937Matches
50%Win rate
1.16Avg K/D
82.6ADR
38%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno62552%1.1917.7
Ancient55843%1.1017.0
Nuke51760%1.2918.5
Overpass22852%1.2718.7
Cache11051%1.1017.3
Dust210040%1.0016.1
Anubis8045%0.9516.0
Mirage7732%0.9015.0

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.

19.5%Headshot accuracy
38.5%Accuracy (enemy spotted)
41.8%Spray accuracy
67.0%Counter-strafing
12.6°Preaim
567msReaction time
67.7%T opening success
56.7%CT opening success
0.27Enemies flashed / flash
0.0%Flash assists
8.52HE damage / grenade
0.65Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.6011° — above the 12° mark we flag

    Aim Training →
  2. 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 0.2722 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0423%23 Oct →
ancient7–13-0.0313%22 Oct →
mirage10–13-0.0325%22 Oct →
nuke13–110.0414%21 Oct →
inferno16–120.0426%19 Oct →
inferno13–90.0331%19 Oct →
cache4–130.0129%17 Oct →
inferno16–13-0.0221%16 Oct →
ancient13–160.0112%15 Oct →
ancient11–130.0320%15 Oct →
nuke13–90.0315%15 Oct →
ancient13–70.1524%15 Oct →
inferno13–11-0.0220%15 Oct →
cache13–100.0016%14 Oct →
ancient13–10-0.0121%11 Oct →
nuke13–90.0523%11 Oct →
inferno13–30.1113%8 Oct →
nuke9–13-0.0219%7 Oct →
ancient19–170.0422%7 Oct →
ancient5–13-0.0919%7 Oct →
anubis12–160.0118%7 Oct →
nuke16–130.0421%6 Oct →
ancient10–13-0.0219%6 Oct →
ancient6–13-0.0134%6 Oct →
nuke11–130.018%5 Oct →
inferno13–60.0525%5 Oct →
cache10–13-0.0812%5 Oct →
dust213–110.0215%4 Oct →
nuke13–50.0313%4 Oct →
nuke13–20.0514%3 Oct →
nuke8–130.0217%2 Oct →
ancient6–13-0.0024%1 Oct →
inferno14–16-0.0118%1 Oct →
nuke3–130.0123%30 Sept →
inferno13–5-0.0228%29 Sept →
nuke4–130.0233%28 Sept →
nuke8–130.0020%28 Sept →
nuke16–140.0716%28 Sept →
nuke13–90.0116%26 Sept →
ancient16–12-0.0122%26 Sept →
inferno11–130.0342%26 Sept →
inferno13–9-0.0120%24 Sept →
nuke13–100.0317%20 Sept →
nuke14–160.0423%20 Sept →
cache13–100.0119%12 Sept →
inferno19–17-0.0113%11 Sept →
vertigo2–130.0125%11 Sept →
inferno16–120.0618%10 Sept →
ancient13–9-0.0212%8 Sept →
inferno3–13-0.0717%8 Sept →
nuke13–40.0511%7 Sept →
inferno13–50.0622%7 Sept →
inferno13–8-0.032%7 Sept →
ancient13–40.0822%7 Sept →
cache13–80.0716%6 Sept →
ancient16–19-0.0112%6 Sept →
cache13–11-0.0419%2 Sept →
cache13–11-0.0221%2 Sept →
nuke13–60.1011%2 Sept →
cache8–130.0113%2 Sept →
inferno15–190.0311%2 Sept →
inferno13–70.0132%1 Sept →
inferno7–130.0722%1 Sept →
nuke13–70.1217%1 Sept →
ancient10–13-0.019%1 Sept →
nuke5–130.0122%31 Aug →
ancient13–40.0220%31 Aug →
dust28–130.0119%30 Aug →
nuke13–50.0917%30 Aug →
nuke9–13-0.0331%30 Aug →
ancient13–80.0715%29 Aug →
vertigo20–22-0.0132%29 Aug →
nuke10–13-0.0225%29 Aug →
inferno16–130.0336%29 Aug →
anubis6–130.0415%29 Aug →
ancient3–13-0.0221%27 Aug →
ancient16–190.0022%27 Aug →
inferno13–70.1019%27 Aug →
nuke3–13-0.0032%27 Aug →
inferno13–50.0521%27 Aug →
vertigo7–13-0.0316%27 Aug →
nuke13–11-0.0114%27 Aug →
dust26–130.0315%26 Aug →
inferno16–14-0.0119%26 Aug →
ancient7–130.0328%26 Aug →
vertigo13–7-0.069%23 Aug →
ancient13–90.1221%19 Aug →
inferno16–140.0414%19 Aug →
inferno13–80.0314%19 Aug →
inferno13–7-0.0114%19 Aug →
cache9–13-0.0212%19 Aug →
ancient25–230.0116%16 Aug →
inferno8–13-0.0325%16 Aug →
nuke13–100.0321%16 Aug →
inferno13–80.0216%16 Aug →
nuke10–13-0.0133%15 Aug →
dust213–110.0511%12 Aug →
ancient13–10-0.0326%10 Aug →
nuke13–80.0728%7 Aug →
inferno9–13-0.0227%7 Aug →

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.