- Academus -

- Academus - — CS2 Stats

76561197960429324[U:1:163596]Steam profile ↗✓ No bans

1,551Tracked matches57%Win rate2021Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating14,051Blue band · top ~33.4% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

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

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 36 days played since 4 Jun 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 14,051 +921 4 Jun16 Sept · 24 days played
12,43514,498peak 14,4984 Jun16 Sept
14,624Peak Premier in tracked matches
36Days played since 2026-06-04

Premier CS Rating

  • 447 below peak (14,498)
  • +1,341 over 30 days · improving
  • -443 over 90 days
  • Next: Purple band at 15,000 949 to go
  • Reached: Blue band · Light Blue band

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

Share this profile

CSDB.GG- Academus -FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,051 · 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

Aim55
Positioning37
Utility66

0–100 skill scores via Leetify.

Recent form

HOT51436Last 10051%Win rateWLLWWWWWWL

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · +0.1pp headshot accuracy · +33ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 641ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 634ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 617ms

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: SupportUtility contribution stands above the rest of this profile (+3 against its own average).

Aim5.5
Utility6.6
Positioning3.7
Opening Duels0.0
Clutch4.0

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 75% 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. 584ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.5
Positioning3.7
Utility6.6
Mechanics4.1
Opening Duels0.5
Win Impact7.2

Composite 4.5/10 (Developing), 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 rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time586ms−29ms
first ⅓ avg 616ms → last ⅓ avg 586ms
Headshot accuracy10.3%+1.0%
first ⅓ avg 9.3% → last ⅓ avg 10.3%

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 · 13–3 · cache, 7 Sept
27%Best headshot accuracy · 11–13 · inferno, 16 Sept
422msFastest reaction time · 2–13 · cache, 10 Jul
13–0Biggest win · overpass, 8 Jul

Across the last 100 tracked matches.

Highlights

6Longest win streak
95In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 78% over 9infernoWeakest map · 39% over 36
MapGradePlayedRecordWin rateAvg rating
infernoC36142239%-0.01
anubisC1871139%-0.01
cacheA138562%-0.03
ancientA95456%0.02
nukeS97278%-0.03
mirageS64267%-0.00
overpassA53260%0.04
dust2330100%-0.02
italy1010%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 36). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

16Matches
44%Win rate
0.88Avg K/D
68.2ADR
28%Headshot %

Clutches & streaks

40%1v1 clutch win
17%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno425%0.9318.0
Dust2333%0.9116.3
Nuke367%0.8810.7
Anubis20%0.6413.0
Overpass2100%1.2818.0
Ancient10%0.436.0

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.

9.9%Headshot accuracy
35.7%Accuracy (enemy spotted)
41.9%Spray accuracy
68.2%Counter-strafing
10.1°Preaim
584msReaction time
25.0%T opening success
33.9%CT opening success
0.63Enemies flashed / flash
7.8%Flash assists
12.44HE damage / grenade
11.98Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 9.9025% — below the 15% 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 24.9877% — 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.

39% win rate across 36 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.007%16 Sept
inferno9–13-0.067%16 Sept
inferno11–13-0.0327%16 Sept
dust213–110.056%13 Sept
anubis8–6-0.048%13 Sept
cache16–14-0.0419%13 Sept
cache13–11-0.0611%13 Sept
cache13–8-0.045%13 Sept
inferno13–9-0.022%13 Sept
anubis8–13-0.089%13 Sept
inferno13–11-0.054%11 Sept
ancient7–13-0.0113%11 Sept
inferno4–13-0.0713%11 Sept
mirage16–13-0.068%7 Sept
inferno5–130.0317%7 Sept
anubis11–130.0521%7 Sept
anubis9–13-0.014%7 Sept
cache13–30.1511%7 Sept
dust213–9-0.073%7 Sept
inferno9–13-0.066%6 Sept
inferno13–8-0.0118%6 Sept
ancient13–100.0612%30 Aug
anubis13–90.058%30 Aug
ancient10–130.0410%27 Aug
inferno12–160.018%27 Aug
anubis13–9-0.028%24 Aug
mirage11–13-0.0510%23 Aug
ancient16–140.046%22 Aug
nuke13–11-0.004%20 Aug
inferno13–16-0.0410%10 Aug
inferno13–40.0718%10 Aug
inferno13–80.038%9 Aug
anubis13–100.0618%5 Aug
ancient8–13-0.0713%29 Jul
dust213–8-0.035%29 Jul
anubis13–16-0.005%29 Jul
cache15–15-0.0117%29 Jul
anubis9–13-0.039%27 Jul
ancient13–100.0416%27 Jul
inferno13–50.019%27 Jul
inferno11–130.0812%27 Jul
nuke13–100.0119%26 Jul
ancient9–13-0.028%26 Jul
cache4–13-0.054%17 Jul
cache10–13-0.076%17 Jul
inferno13–100.0116%10 Jul
cache2–13-0.080%10 Jul
inferno8–13-0.0821%8 Jul
cache13–8-0.0517%8 Jul
cache13–10-0.0310%8 Jul
italy7–130.057%8 Jul
overpass13–00.107%8 Jul
cache13–7-0.0311%8 Jul
cache0–9-0.067%6 Jul
cache13–20.027%6 Jul
overpass13–160.0810%5 Jul
inferno4–13-0.0613%5 Jul
ancient13–60.083%3 Jul
inferno13–100.047%3 Jul
overpass4–13-0.037%3 Jul
nuke13–10-0.0212%3 Jul
inferno8–13-0.007%1 Jul
mirage5–13-0.0111%1 Jul
inferno5–13-0.019%1 Jul
ancient13–10-0.006%1 Jul
nuke2–13-0.1011%1 Jul
inferno11–130.0312%1 Jul
nuke13–9-0.056%30 Jun
anubis3–13-0.069%30 Jun
inferno13–11-0.005%30 Jun
inferno16–14-0.048%28 Jun
nuke13–70.0212%28 Jun
inferno15–15-0.0220%28 Jun
inferno13–90.019%28 Jun
anubis8–13-0.0710%25 Jun
inferno10–13-0.0414%25 Jun
mirage13–80.0511%25 Jun
nuke6–13-0.027%25 Jun
inferno8–13-0.037%25 Jun
inferno15–15-0.045%24 Jun
nuke13–7-0.0512%24 Jun
anubis15–15-0.028%22 Jun
inferno4–130.0111%19 Jun
overpass13–70.0113%19 Jun
inferno15–15-0.0011%19 Jun
anubis13–50.0313%18 Jun
inferno10–13-0.017%18 Jun
anubis13–100.017%18 Jun
overpass13–90.034%18 Jun
inferno4–130.006%17 Jun
inferno8–13-0.0517%17 Jun
inferno13–8-0.046%17 Jun
mirage13–70.0612%17 Jun
inferno13–30.067%16 Jun
anubis6–130.006%15 Jun
anubis13–100.0512%15 Jun
nuke13–10-0.038%15 Jun
inferno13–60.0412%11 Jun
anubis15–15-0.029%4 Jun
anubis5–13-0.103%4 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 →