acoR

acoR — CS2 Stats

PROSashiDenmarkAWPerSettings & gear profile →

IM76561198002942763[U:1:42677035]Steam profile ↗✓ No bans

2,134Tracked matches20%Win rate2020Tracked since
CSDB Rating7.1 StrongPositional Player
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,134 tracked matches. Play, then come back: the next observation lands here.

Rating over time

29Days played since 2026-05-12

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Performance scores

Aim98
Positioning73
Utility69

0–100 skill scores via Leetify.

Recent form

COLD39–61Last 10039%Win rateLLLWLLLLLL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +12.0pp headshot accuracy · −51ms 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 0.01
  • Avg headshot accuracy 35%
  • Avg reaction 411ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 33%
  • Avg reaction 429ms

Last 20

  • 3–17 · 15% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 454ms

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 (+1.7 against its own average).

Aim9.8
Utility6.9
Positioning7.3
Opening Duels4.4
Clutch3.6

Sharp aimer

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

iM

Plays most like iM 96% playstyle similarity

Most alike: opening-duel success, positioning 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

Aim. Aim score of 98 — the mechanical foundation is a clear strength.

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

Aim9.8
Positioning7.3
Utility6.9
Mechanics7.5
Opening Duels5.6
Win Impact0.0

Composite 7.1/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time426ms−49ms
first ⅓ avg 475ms → last ⅓ avg 426ms
Headshot accuracy25.5%−5.6%
first ⅓ avg 31.1% → last ⅓ avg 25.5%

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

0.13Best match rating · 13–1 · inferno, 12 Sept →
60%Best headshot accuracy · 13–6 · nuke, 15 May →
273msFastest reaction time · 11–13 · mirage, 8 Aug →
13–1Biggest win · inferno, 12 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–16In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
nukeC2710–1737%0.01
ancientC166–1038%0.03
dust2C166–1038%0.02
cacheB157–847%0.00
infernoC145–936%0.02
anubisA53–260%0.03
mirage—40–40%-0.03
overpass—32–167%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,779Matches
62%Win rate
1.50Avg K/D
86.7ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
26%1v2 clutch win
28Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage16763%1.6419.3
Ancient9969%1.5816.6
Nuke8861%1.4817.6
Dust27654%1.4419.1
Anubis5260%1.6520.1
Inferno3653%1.2616.1
Vertigo2273%1.4417.6
Overpass1958%1.1916.7

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$14,434Inventory value44ItemsFull inventory breakdown →
AWP | Desert Hydra (Field-Tested)$1,860★ Karambit | Fade (Factory New)$1,775★ Butterfly Knife | Slaughter (Factory New)$1,771★ M9 Bayonet | Fade (Factory New)$1,558★ Sport Gloves | Nocts (Minimal Wear)$1,535★ Talon Knife | Marble Fade (Factory New)$818

Skill profile

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

25.0%Headshot accuracy
44.3%Accuracy (enemy spotted)
48.4%Spray accuracy
83.7%Counter-strafing
7.5°Preaim
431msReaction time
50.0%T opening success
54.5%CT opening success
0.63Enemies flashed / flash
13.3%Flash assists
10.97HE damage / grenade
15.08Flashes / match

Recommended for you

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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.0627%19 Oct →
ancient17–190.0424%19 Oct →
inferno8–13-0.0235%19 Oct →
nuke13–90.1250%19 Oct →
inferno9–13-0.0040%14 Oct →
ancient4–130.0229%14 Oct →
ancient4–130.0229%14 Oct →
inferno9–13-0.0040%14 Oct →
mirage9–13-0.0233%14 Oct →
nuke13–160.0821%14 Oct →
mirage9–13-0.0233%14 Oct →
nuke13–160.0821%14 Oct →
cache11–130.0116%2 Oct →
cache11–130.0116%2 Oct →
nuke9–13-0.0117%2 Oct →
nuke9–13-0.0117%2 Oct →
inferno8–130.0024%2 Oct →
inferno8–130.0024%2 Oct →
cache13–90.0321%2 Oct →
cache13–90.0321%2 Oct →
ancient7–130.000%2 Oct →
ancient7–130.000%2 Oct →
ancient13–90.0036%26 Sept →
inferno10–130.0622%26 Sept →
nuke9–13-0.0336%26 Sept →
nuke8–10-0.0215%25 Sept →
anubis13–70.0725%25 Sept →
nuke8–50.020%25 Sept →
nuke5–13-0.0458%21 Sept →
cache8–13-0.0418%21 Sept →
cache8–13-0.0418%21 Sept →
nuke5–13-0.0458%21 Sept →
dust211–13-0.0116%21 Sept →
nuke9–130.0023%21 Sept →
nuke9–130.0023%21 Sept →
dust211–13-0.0116%21 Sept →
dust26–130.0436%14 Sept →
ancient4–130.0222%14 Sept →
cache13–100.0444%14 Sept →
ancient13–80.0223%13 Sept →
dust211–130.0838%13 Sept →
nuke13–7-0.0414%13 Sept →
inferno13–10.1329%12 Sept →
nuke8–13-0.0336%12 Sept →
dust213–3-0.0217%12 Sept →
inferno13–160.0314%4 Sept →
cache13–16-0.0437%4 Sept →
ancient13–80.1020%3 Sept →
nuke13–30.0743%3 Sept →
inferno9–130.0031%29 Aug →
cache13–100.0230%29 Aug →
nuke9–13-0.0414%29 Aug →
cache13–100.1131%28 Aug →
nuke5–130.0143%28 Aug →
dust25–130.0039%28 Aug →
nuke13–100.0817%27 Aug →
ancient9–13-0.0210%27 Aug →
inferno13–110.0239%27 Aug →
cache5–13-0.0929%9 Aug →
ancient8–13-0.0114%9 Aug →
inferno13–9-0.0129%9 Aug →
nuke13–80.0027%9 Aug →
anubis16–120.0216%9 Aug →
cache4–13-0.0433%9 Aug →
nuke13–3-0.0017%9 Aug →
dust213–110.0629%9 Aug →
dust213–20.016%8 Aug →
cache13–3-0.0233%8 Aug →
cache11–130.0641%8 Aug →
mirage11–13-0.0337%8 Aug →
nuke13–70.0427%7 Aug →
dust213–80.0642%7 Aug →
cache22–200.0133%1 Aug →
nuke14–160.0233%26 Jun →
dust212–160.0235%26 Jun →
overpass16–14-0.0138%26 Jun →
dust213–60.0723%25 Jun →
nuke13–6-0.0338%25 Jun →
ancient14–160.0419%25 Jun →
ancient11–130.0632%24 Jun →
dust211–130.0424%24 Jun →
ancient13–60.0521%23 Jun →
dust213–100.0735%23 Jun →
nuke11–13-0.0342%23 Jun →
dust26–13-0.0438%19 Jun →
nuke7–13-0.0125%19 Jun →
ancient13–110.0424%19 Jun →
dust211–13-0.0329%16 Jun →
anubis13–60.0736%16 Jun →
inferno13–90.0520%16 Jun →
inferno11–13-0.0044%23 May →
anubis16–190.0138%23 May →
overpass0–13-0.0914%22 May →
anubis9–13-0.0238%22 May →
ancient13–30.0623%22 May →
dust26–13-0.0419%19 May →
nuke7–13-0.0419%19 May →
nuke13–60.0460%15 May →
inferno13–70.0219%15 May →
overpass16–140.0426%12 May →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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