aseredius

aseredius — CS2 Stats

FI76561198086693299[U:1:126427571]Steam profile ↗✓ No bans

869Tracked matches52%Win rate2020Tracked since
CSDB Rating5.5 SolidSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (7 days ago). Ranks are recorded once per day this page is viewed.

+15Tracked matches · now 869
−1.7ppWin rate · 53.6% → 51.8%

Rating over time

Premier CS Rating: 26,466 +329 26 Jul – 19 Sept · 13 days played
26,02927,635peak 27,63526 Jul19 Sept
27,854Peak Premier in tracked matches
35Days played since 2026-03-05

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

Performance scores

Aim78
Positioning41
Utility45

0–100 skill scores via Leetify.

Recent form

COLD52–41–7Last 10052%Win rateLTLLLTLLWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +5.1pp headshot accuracy · −2ms reaction

Win rate down 20pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 575ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 623ms

Last 20

  • 6–11–3 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 624ms

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 (+1.9 against its own average).

Aim7.8
Utility4.5
Positioning4.1
Opening Duels0.0
Clutch1.8

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: positioning profile, 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

Areas to improve

Positioning. Positioning trails aim by 37 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.

Reaction time. 644ms 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

Aim7.8
Positioning4.1
Utility4.5
Mechanics7.4
Opening Duels0.0
Win Impact5.6

Composite 5.5/10 (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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time638ms+2ms
first ⅓ avg 636ms → last ⅓ avg 638ms
Headshot accuracy18.2%−1.5%
first ⅓ avg 19.7% → last ⅓ avg 18.2%

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 · 13–1 · train, 23 Sept →
43%Best headshot accuracy · 13–2 · cache, 12 Jul →
453msFastest reaction time · 3–0 · nuke, 27 Sept →
13–1Biggest win · train, 23 Sept →

Across the last 100 tracked matches.

Highlights

10Longest win streak
6–10In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 80% over 5ancientWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
nukeC3013–1743%-0.01
anubisS1411–379%0.01
cacheS139–469%-0.01
mirageD124–833%-0.01
ancientD82–625%-0.02
infernoS54–180%-0.02
vertigo—42–250%-0.01
train—42–250%0.02
dust2—41–325%0.03
overpass—32–167%0.03
italy—11–0100%-0.05
boulder—10–10%-0.11
shelter—11–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

412Matches
55%Win rate
1.09Avg K/D
69.1ADR
41%Headshot %

Clutches & streaks

29%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis757%1.0514.6
Nuke650%1.0614.0
Cache367%0.8414.7
Mirage2100%0.9614.0
Ancient10%0.6714.0
Overpass1100%1.0013.0

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.

18.9%Headshot accuracy
38.0%Accuracy (enemy spotted)
45.0%Spray accuracy
83.2%Counter-strafing
9.9°Preaim
644msReaction time
30.1%T opening success
29.9%CT opening success
0.49Enemies flashed / flash
5.7%Flash assists
6.73HE damage / grenade
4.19Flashes / 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 0.4886 — 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 30.1271% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–13-0.0428%1 Oct →
overpass12–120.0527%1 Oct →
nuke4–13-0.0417%1 Oct →
mirage6–13-0.0223%1 Oct →
nuke10–13-0.0325%30 Sept →
nuke12–12-0.038%30 Sept →
mirage2–11-0.0233%29 Sept →
nuke11–130.0116%29 Sept →
nuke13–50.0417%27 Sept →
cache12–40.0611%27 Sept →
nuke13–6-0.0312%27 Sept →
nuke3–00.0310%27 Sept →
nuke13–80.0628%24 Sept →
nuke5–13-0.0513%24 Sept →
nuke8–13-0.0218%24 Sept →
vertigo12–120.0315%23 Sept →
train13–10.165%23 Sept →
nuke11–130.0219%23 Sept →
nuke4–13-0.1019%23 Sept →
nuke13–160.0015%20 Sept →
anubis7–13-0.0611%20 Sept →
train13–20.0421%18 Sept →
nuke13–80.0419%18 Sept →
ancient7–13-0.0535%15 Sept →
italy13–10-0.0522%15 Sept →
nuke13–80.0316%5 Sept →
anubis13–8-0.0224%5 Sept →
vertigo13–8-0.0417%5 Sept →
dust213–4-0.0112%3 Sept →
nuke13–6-0.0120%3 Sept →
anubis13–70.0711%21 Aug →
vertigo13–11-0.0212%21 Aug →
cache7–130.0320%21 Aug →
nuke13–9-0.0021%21 Aug →
mirage11–130.0022%21 Aug →
ancient3–12-0.0626%18 Aug →
cache3–13-0.0616%17 Aug →
cache13–60.0624%13 Aug →
vertigo8–130.0021%9 Aug →
cache13–11-0.079%9 Aug →
dust212–120.1319%9 Aug →
mirage10–13-0.0030%9 Aug →
train1–13-0.0825%9 Aug →
nuke3–10-0.0616%9 Aug →
inferno13–4-0.0412%9 Aug →
mirage8–13-0.0521%9 Aug →
mirage13–70.0515%9 Aug →
nuke15–150.0113%9 Aug →
cache16–14-0.0217%7 Aug →
mirage10–130.0033%6 Aug →
nuke3–13-0.0515%2 Aug →
inferno0–13-0.0414%2 Aug →
nuke11–13-0.0716%2 Aug →
ancient3–13-0.0217%2 Aug →
boulder2–13-0.1136%2 Aug →
dust27–13-0.069%2 Aug →
anubis9–13-0.019%2 Aug →
mirage11–13-0.0513%2 Aug →
cache13–60.0727%2 Aug →
anubis13–20.0514%2 Aug →
nuke0–3-0.0320%1 Aug →
inferno13–90.0219%1 Aug →
nuke13–9-0.0124%1 Aug →
mirage13–9-0.027%1 Aug →
anubis13–7-0.0324%1 Aug →
cache13–2-0.0511%1 Aug →
nuke13–10-0.0313%30 Jul →
overpass13–70.0012%30 Jul →
mirage13–11-0.0316%28 Jul →
anubis13–100.0020%27 Jul →
anubis13–40.0126%27 Jul →
nuke3–130.0133%27 Jul →
anubis13–20.0618%26 Jul →
cache13–10-0.0623%26 Jul →
train12–12-0.0613%26 Jul →
inferno13–10-0.0319%26 Jul →
anubis13–10-0.0422%26 Jul →
inferno13–10-0.0027%26 Jul →
ancient4–13-0.0717%26 Jul →
nuke13–11-0.0116%26 Jul →
mirage5–13-0.0218%26 Jul →
mirage13–9-0.0216%25 Jul →
anubis11–13-0.0224%25 Jul →
shelter13–9-0.0111%25 Jul →
ancient11–13-0.0515%25 Jul →
nuke13–60.0222%25 Jul →
anubis13–100.1025%21 Jul →
ancient15–150.0129%18 Jul →
anubis13–10-0.019%18 Jul →
cache13–2-0.0243%12 Jul →
nuke13–40.0711%12 Jul →
ancient13–2-0.0113%9 Jul →
overpass13–100.0514%5 Jul →
cache11–13-0.0819%5 Jul →
anubis13–100.0222%14 May →
nuke3–13-0.0717%14 May →
cache13–110.0422%3 May →
cache8–13-0.0222%29 Apr →
ancient13–70.0617%7 Mar →
dust214–160.0419%5 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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