akumasekai

akumasekai — CS2 Stats

76561198965868528[U:1:1005602800]Steam profile ↗1 game ban

2,201Tracked matches40%Win rate2023Tracked since
1,199Hours in CS
CSDB Rating2.8 LearningSupport
Premier CS Rating5,000Light Blue band · top ~78.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Dec 2025 (295 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: 5,000 -1,815 11 Dec – 25 Dec · 15 days played
5,0008,410peak 8,41011 Dec25 Dec
8,769Peak Premier in tracked matches
15Days played since 2025-12-11

Premier CS Rating

  • 3,410 below peak (8,410)
  • Next: Blue band at 10,000 — 5,000 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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 15 Sep 2026 and 16 Oct 2026.

Measured 15 Sep 2026 → 16 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), 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 rate50.4%39.9%42.0%above
Shot accuracy0.4%7.0%9.6%9.2% short
Kill/death ratio0.990.920.98meets
Match win rate44.3%42.3%43.8%meets

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

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.

Share this profile

CSDB.GGakumasekaiPREMIER5,000 · Light Blue 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

Aim20
Positioning39
Utility50

0–100 skill scores via Leetify.

Recent form

COLD45–54–1Last 10045%Win rateLLWLLWLLLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +3.5pp headshot accuracy · +98ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 35%
  • Avg reaction 939ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 32%
  • Avg reaction 880ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 30%
  • Avg reaction 831ms

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 (+1.8 against its own average).

Aim2.0
Utility5.0
Positioning3.9
Opening Duels0.8

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

ZywOo

Plays most like ZywOo 58% 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. 795ms 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

Aim2.0
Positioning3.9
Utility5.0
Mechanics4.6
Opening Duels0.9
Win Impact1.7

Composite 2.8/10 (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 rating-0.03−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time790ms+25ms
first ⅓ avg 765ms → last ⅓ avg 790ms
Headshot accuracy26.7%+0.9%
first ⅓ avg 25.9% → last ⅓ avg 26.7%

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

0.08Best match rating · 9–13 · dust2, 11 Dec →
45%Best headshot accuracy · 13–10 · ancient, 13 Dec →
547msFastest reaction time · 14–16 · inferno, 11 Dec →
13–1Biggest win · dust2, 12 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
9–3In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 59% over 17infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%-0.02
dust2B2010–1050%-0.02
ancientA1710–759%-0.01
nukeD155–1033%-0.04
infernoD103–730%-0.02
overpassB84–450%-0.03
train—41–325%-0.02
vertigo—21–150%-0.01
anubis—10–10%-0.09

Across the last 100 tracked matches.

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

Lifetime stats

52,999Lifetime kills
0.99K/D · Top 50% of Light Blue band
3,011Matches
44.3%Match win rate · Top 50% of Light Blue band
50.4%Headshot % · Top 25% of Light Blue band
0.4%Shot accuracy
6,205MVPs
1,199Hours (in match)
3,743Bombs planted
656Bombs defused

Most-used weapons

Lifetime map wins

6,769dust2
4,072inferno
3,827nuke
1,324train
982vertigo
280office
56italy
53assault

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.

26.5%Headshot accuracy
22.3%Accuracy (enemy spotted)
21.2%Spray accuracy
70.7%Counter-strafing
11.3°Preaim
795msReaction time
23.1%T opening success
37.2%CT opening success
0.51Enemies flashed / flash
10.8%Flash assists
9.86HE damage / grenade
7.31Flashes / 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 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 794.5497ms — above the 700ms 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 23.1237% — below the 40% mark we flag

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient5–130.0039%25 Dec →
nuke6–13-0.0337%25 Dec →
nuke9–4-0.1640%25 Dec →
mirage9–13-0.0229%25 Dec →
train5–13-0.0830%25 Dec →
nuke13–9-0.0321%25 Dec →
inferno7–13-0.0433%25 Dec →
dust29–13-0.0822%24 Dec →
dust210–13-0.0536%24 Dec →
dust213–50.0031%24 Dec →
ancient10–13-0.0129%23 Dec →
nuke7–13-0.0334%23 Dec →
inferno16–12-0.0226%23 Dec →
nuke13–7-0.0529%23 Dec →
inferno13–110.0127%23 Dec →
dust24–13-0.0626%23 Dec →
overpass2–13-0.0827%23 Dec →
nuke12–16-0.0426%23 Dec →
inferno1–13-0.1340%23 Dec →
ancient13–11-0.0317%23 Dec →
dust213–110.0328%23 Dec →
train7–130.0414%23 Dec →
overpass2–13-0.080%23 Dec →
overpass10–130.0210%22 Dec →
mirage5–13-0.0224%22 Dec →
ancient4–130.0134%22 Dec →
mirage13–11-0.0427%22 Dec →
ancient13–30.0114%22 Dec →
inferno13–8-0.0222%22 Dec →
mirage13–9-0.0417%22 Dec →
overpass13–9-0.0233%22 Dec →
vertigo13–7-0.0433%22 Dec →
dust213–7-0.0228%22 Dec →
mirage12–16-0.0118%22 Dec →
mirage13–110.0125%21 Dec →
nuke13–90.0520%21 Dec →
ancient7–13-0.0813%21 Dec →
mirage4–13-0.0427%21 Dec →
ancient9–13-0.0125%21 Dec →
mirage8–13-0.0321%21 Dec →
dust213–7-0.0224%21 Dec →
inferno5–130.0135%20 Dec →
dust213–90.0437%20 Dec →
ancient6–13-0.1027%20 Dec →
train13–110.0125%20 Dec →
dust216–14-0.0840%19 Dec →
mirage5–13-0.0126%19 Dec →
mirage5–13-0.0319%19 Dec →
mirage13–16-0.0042%19 Dec →
dust213–70.0535%19 Dec →
mirage4–13-0.1027%19 Dec →
mirage13–8-0.0213%18 Dec →
vertigo12–120.0119%18 Dec →
mirage11–13-0.0314%18 Dec →
ancient13–11-0.0441%18 Dec →
ancient13–110.0029%18 Dec →
dust28–13-0.0525%17 Dec →
mirage13–6-0.0213%17 Dec →
ancient13–100.0638%17 Dec →
anubis4–13-0.0941%17 Dec →
nuke13–6-0.0335%17 Dec →
mirage13–4-0.0428%17 Dec →
dust26–13-0.0527%17 Dec →
nuke6–130.0535%17 Dec →
nuke2–13-0.0915%17 Dec →
dust29–13-0.0325%17 Dec →
inferno7–13-0.0131%17 Dec →
dust213–70.0038%17 Dec →
mirage13–90.0617%17 Dec →
nuke10–13-0.0818%16 Dec →
dust26–13-0.0827%16 Dec →
inferno9–13-0.0229%16 Dec →
ancient13–9-0.0219%16 Dec →
nuke6–130.0333%16 Dec →
dust26–13-0.0641%16 Dec →
nuke1–13-0.1427%16 Dec →
ancient13–90.0315%16 Dec →
mirage13–9-0.0518%15 Dec →
nuke6–13-0.1015%15 Dec →
ancient8–13-0.0629%15 Dec →
overpass7–8-0.149%15 Dec →
overpass13–10-0.0624%15 Dec →
mirage13–9-0.088%14 Dec →
ancient13–100.0245%13 Dec →
overpass13–100.0226%13 Dec →
ancient13–100.0137%13 Dec →
mirage13–10-0.0224%13 Dec →
mirage13–10-0.0423%13 Dec →
train7–13-0.0426%13 Dec →
overpass13–30.0521%12 Dec →
nuke10–130.0424%12 Dec →
dust213–10-0.0315%12 Dec →
dust25–130.0223%12 Dec →
mirage12–160.0228%12 Dec →
dust213–10.0443%12 Dec →
ancient16–120.0324%12 Dec →
inferno6–13-0.0038%12 Dec →
inferno14–160.0737%11 Dec →
dust29–130.0825%11 Dec →
mirage10–13-0.0027%11 Dec →

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.