AcId-1

AcId-1 — CS2 Stats

VI76561197960891506[U:1:625778]Steam profile ↗✓ No bans

2,147Tracked matches55%Win rate2020Tracked since
7,476Hours in CS0Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
Premier CS Rating25,123Top 10% of 215,386 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#20381 of 261641 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 25,123 → 25,123
+4Tracked matches · now 2,147
−8.2ppWin rate · 63.3% → 55.2%

Rating over time

Premier CS Rating: 25,123 -3,299 28 Jun – 23 Oct · 15 days played
21,82329,210peak 29,21028 Jun23 Oct
29,210Peak Premier in tracked matches
36Days played since 2026-06-28

Premier CS Rating

  • 4,087 below peak (29,210)
  • +1,380 over 30 days · improving
  • +124 over 90 days
  • Next: Gold band at 30,000 — 4,877 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-10-23
  • Pink band first seen 2026-08-29

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

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 rate49.9%48.2%50.9%1.1% short
Shot accuracy15.3%13.2%13.7%above
Kill/death ratio0.901.071.090.18 short
Match win rate47.3%46.9%48.4%1.1% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. 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.GGAcId-1FACEITLevel 9STANDINGTop 20.7% of rankedPREMIER25,123 · Red bandcsdb.gg/stats

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Performance scores

Aim87
Positioning68
Utility54

0–100 skill scores via Leetify.

Recent form

HOT55–41–4Last 10055%Win rateLLWTWWWWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating · −9.7pp headshot accuracy · −22ms reaction

Win rate up 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 638ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 517ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 27%
  • Avg reaction 529ms

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 (+1.8 against its own average).

Aim8.7
Utility5.4
Positioning6.8
Opening Duels5.0
Clutch2.8

Sharp aimerEffective flashes

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

donk

Plays most like donk 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success.

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 87 — the mechanical foundation is a clear strength.

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. 556ms 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

Aim8.7
Positioning6.8
Utility5.4
Mechanics7.2
Opening Duels3.7
Win Impact6.7

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time538ms−98ms
first ⅓ avg 636ms → last ⅓ avg 538ms
Headshot accuracy25.9%−3.4%
first ⅓ avg 29.2% → last ⅓ avg 25.9%

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

0.14Best match rating · 13–6 · dust2, 30 Jul →
50%Best headshot accuracy · 11–13 · mirage, 25 Sept →
320msFastest reaction time · 0–4 · nuke, 14 Jul →
13–0Biggest win · mirage, 16 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 79% over 14trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB3114–1745%-0.00
dust2A2616–1062%0.02
cacheB168–850%0.00
nukeS1411–379%0.01
trainC52–340%0.02
ancient—42–250%0.01
inferno—21–150%0.02
anubis—11–0100%0.05
shelter—10–10%0.06

Across the last 100 tracked matches.

Lifetime stats

255,654Lifetime kills
0.90K/D
11,207Matches
47.3%Match win rate · Top 50% of Level 9 players
49.9%Headshot % · Top 50% of Level 9 players
15.3%Shot accuracy · Top 50% of Level 9 players
25,648MVPs
4,833Hours (in match)
6,421Bombs planted
4,183Bombs defused

Most-used weapons

AK-4792,518
AWP50,728
P2504,883
Knife3,015
SSG 082,876

Lifetime map wins

23,714dust2
8,000nuke
6,385inferno
5,585train
1,430cbble
869vertigo
38italy
35office

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

Faceit stats

Combat

1,570Matches
59%Win rate
1.22Avg K/D
73.7ADR
48%Headshot %

Clutches & streaks

34%1v1 clutch win
20%1v2 clutch win
24Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage21757%1.0615.6
Dust28055%1.0115.4
Nuke6769%1.1316.1
Ancient4867%1.1414.7
Anubis1631%1.1917.8
Cache1560%1.0815.7
Train1173%0.9812.9
Vertigo875%1.0417.8

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.

27.0%Headshot accuracy
36.9%Accuracy (enemy spotted)
41.1%Spray accuracy
82.3%Counter-strafing
9.7°Preaim
556msReaction time
39.3%T opening success
50.5%CT opening success
0.72Enemies flashed / flash
6.0%Flash assists
3.12HE damage / grenade
11.46Flashes / 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

    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 39.25% — below the 40% mark we flag

Spend your practice time on Train

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage7–13-0.1017%31 Oct →
dust29–13-0.0129%31 Oct →
mirage13–20.0534%30 Oct →
cache12–120.0529%24 Oct →
nuke13–5-0.0119%21 Oct →
dust213–20.0214%21 Oct →
dust213–100.000%21 Oct →
mirage13–60.0433%18 Oct →
anubis16–130.0526%9 Oct →
dust213–60.0822%9 Oct →
train4–130.0347%8 Oct →
train13–110.0432%8 Oct →
dust213–80.0228%3 Oct →
mirage10–130.0625%1 Oct →
dust213–100.0131%1 Oct →
cache16–12-0.0824%28 Sept →
nuke13–6-0.0721%28 Sept →
cache2–13-0.0825%28 Sept →
mirage11–130.0250%25 Sept →
train8–130.0837%25 Sept →
dust213–30.0021%24 Sept →
ancient13–80.0326%24 Sept →
inferno11–13-0.0433%23 Sept →
ancient7–13-0.0129%18 Sept →
dust210–130.0126%13 Sept →
mirage9–13-0.0126%12 Sept →
mirage7–13-0.0819%12 Sept →
ancient22–19-0.0314%8 Sept →
nuke5–13-0.0222%5 Sept →
dust213–6-0.0129%31 Jul →
mirage4–13-0.0520%30 Jul →
nuke13–100.0422%30 Jul →
nuke13–7-0.0225%30 Jul →
dust213–60.1424%30 Jul →
mirage13–70.0133%30 Jul →
dust213–11-0.0116%29 Jul →
mirage2–13-0.1119%29 Jul →
mirage7–130.0238%29 Jul →
mirage13–20.1033%28 Jul →
mirage8–13-0.0534%23 Jul →
nuke13–9-0.0214%23 Jul →
mirage13–10-0.0527%22 Jul →
dust211–130.0232%17 Jul →
nuke10–130.0731%17 Jul →
mirage13–00.0726%16 Jul →
mirage13–11-0.0216%16 Jul →
cache13–11-0.0223%16 Jul →
dust213–50.1229%16 Jul →
dust29–13-0.0224%16 Jul →
mirage10–13-0.0040%15 Jul →
mirage16–130.0724%15 Jul →
dust213–20.0127%15 Jul →
nuke0–4-0.1133%14 Jul →
mirage13–160.0338%14 Jul →
dust213–70.0628%14 Jul →
cache13–80.0418%14 Jul →
cache13–60.0030%14 Jul →
mirage13–9-0.0130%14 Jul →
cache13–11-0.0421%14 Jul →
dust213–16-0.0124%13 Jul →
ancient8–130.0428%13 Jul →
mirage13–6-0.0023%13 Jul →
nuke13–90.0118%13 Jul →
dust213–00.1320%13 Jul →
cache14–160.0123%13 Jul →
nuke13–70.0428%13 Jul →
mirage0–13-0.040%13 Jul →
cache13–6-0.0328%12 Jul →
mirage7–130.0024%12 Jul →
dust27–13-0.0135%12 Jul →
nuke13–100.0425%12 Jul →
train9–13-0.0125%12 Jul →
mirage13–00.0225%12 Jul →
dust213–80.0443%12 Jul →
cache13–30.1020%12 Jul →
inferno13–50.0734%12 Jul →
dust212–120.0125%12 Jul →
nuke13–90.0330%12 Jul →
mirage12–120.0927%11 Jul →
dust213–8-0.0324%11 Jul →
cache2–130.0527%11 Jul →
mirage12–12-0.0028%11 Jul →
dust27–13-0.0932%11 Jul →
cache3–13-0.0527%11 Jul →
shelter7–130.0626%11 Jul →
mirage5–13-0.0424%11 Jul →
dust213–90.0835%10 Jul →
cache9–130.0329%9 Jul →
mirage16–13-0.0221%9 Jul →
cache8–130.0733%9 Jul →
dust211–130.0148%3 Jul →
cache13–10.0027%3 Jul →
nuke16–130.0427%2 Jul →
mirage13–3-0.0112%2 Jul →
train13–10-0.0632%2 Jul →
cache5–130.0237%2 Jul →
mirage13–90.0738%2 Jul →
dust24–130.0634%2 Jul →
mirage7–13-0.0531%28 Jun →
nuke13–70.1031%28 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.