Arnold

Arnold — CS2 Stats

NO76561198011883493[U:1:51617765]Steam profile ↗✓ No bans

597Tracked matches57%Win rate2020Tracked since
1,798Hours in CS
CSDB Rating6.3 SolidSupport
Premier CS Rating16,538Purple band · top ~22.3% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

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

No change since then — still 597 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,538 +3,568 30 May – 3 Sept · 6 days played
12,97016,538peak 16,53830 May3 Sept
16,538Peak Premier in tracked matches
28Days played since 2022-12-07

Premier CS Rating

  • At peak — 16,538
  • Next: Pink band at 20,000 — 3,462 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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 28 Aug 2026 and 28 Sep 2026.

Measured 28 Aug 2026 → 28 Sep 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 Level 8 among CSDB-tracked players (n=14,726), 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 8 medianLevel 9 medianvs Level 9
Headshot rate48.8%46.8%48.2%meets
Shot accuracy21.0%13.0%13.3%above
Kill/death ratio0.971.061.070.10 short
Match win rate51.1%46.3%46.9%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGArnoldFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER16,538 · Purple 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

Aim84
Positioning44
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY61–39Last 10061%Win rateLWLWWWLWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · +1.4pp headshot accuracy · −67ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 484ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 527ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 560ms

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 (+1.1 against its own average).

Aim8.4
Utility5.0
Positioning4.4
Opening Duels2.3

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

b1t

Plays most like b1t 96% playstyle similarity

Most alike: opening-duel success, 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

Positioning. Positioning trails aim by 40 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.

T-side openings. Opening success drops from 44% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 587ms 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

Aim8.4
Positioning4.4
Utility5.0
Mechanics8.2
Opening Duels1.7
Win Impact7.2

Composite 6.3/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time580ms+50ms
first ⅓ avg 530ms → last ⅓ avg 580ms
Headshot accuracy19.2%+1.0%
first ⅓ avg 18.2% → last ⅓ avg 19.2%

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

0.14Best match rating · 13–0 · nuke, 30 May →
39%Best headshot accuracy · 4–13 · nuke, 4 Aug →
391msFastest reaction time · 1–13 · inferno, 3 Aug →
13–0Biggest win · nuke, 30 May →

Across the last 100 tracked matches.

Highlights

7Longest win streak
12–6In matches decided by ≤2 rounds
41Overtime games

Map breakdown

ancientBest map · 82% over 11nukeWeakest map · 50% over 12
MapGradePlayedRecordWin rateAvg rating
infernoA2313–1057%0.00
mirageA1710–759%-0.01
dust2B158–753%0.01
nukeB126–650%0.01
ancientS119–282%0.00
vertigoA95–456%0.02
overpassB63–350%-0.01
cache—44–0100%0.01
anubis—22–0100%0.01
train—11–0100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (50% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,831Lifetime kills
0.97K/D
1,880Matches
51.1%Match win rate · Top 25% of Level 8 players
48.8%Headshot % · Top 50% of Level 8 players
21.0%Shot accuracy · Top 5% of Level 8 players
5,928MVPs
1,798Hours (in match)
2,592Bombs planted
638Bombs defused

Most-used weapons

AK-4730,254
AWP8,969
P2501,727
FAMAS1,252
Knife1,212

Lifetime map wins

5,115inferno
4,903dust2
2,164nuke
1,480train
1,290vertigo
166cbble
31aztec
17dust

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.

19.1%Headshot accuracy
36.4%Accuracy (enemy spotted)
42.4%Spray accuracy
87.1%Counter-strafing
8.5°Preaim
587msReaction time
17.3%T opening success
43.7%CT opening success
0.48Enemies flashed / flash
7.0%Flash assists
10.44HE damage / grenade
5.86Flashes / 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 0.4834 — 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 17.3498% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage10–13-0.0716%9 Aug →
mirage13–5-0.0123%9 Aug →
nuke9–13-0.0527%8 Aug →
overpass13–11-0.0017%8 Aug →
anubis13–5-0.0214%8 Aug →
cache13–100.0223%8 Aug →
mirage16–19-0.0426%7 Aug →
dust23–10.0218%6 Aug →
mirage13–90.0717%6 Aug →
inferno13–16-0.0020%6 Aug →
dust213–50.0017%6 Aug →
cache13–80.0218%6 Aug →
overpass11–13-0.0313%6 Aug →
inferno8–13-0.0316%6 Aug →
ancient13–6-0.0124%6 Aug →
dust24–13-0.0321%6 Aug →
ancient16–140.0213%6 Aug →
dust26–130.0124%6 Aug →
nuke9–13-0.0020%5 Aug →
dust213–100.0222%5 Aug →
inferno13–70.0216%5 Aug →
anubis13–60.0411%5 Aug →
ancient13–5-0.0215%4 Aug →
dust29–13-0.0527%4 Aug →
nuke4–13-0.0339%4 Aug →
vertigo13–20.0819%4 Aug →
mirage6–13-0.0810%4 Aug →
inferno2–130.017%4 Aug →
dust213–110.0214%3 Aug →
mirage13–100.0023%3 Aug →
ancient13–11-0.0019%3 Aug →
inferno1–13-0.0528%3 Aug →
dust28–130.0118%3 Aug →
inferno9–130.0329%3 Aug →
nuke6–13-0.0624%3 Aug →
vertigo13–110.0110%2 Aug →
dust211–130.0024%2 Aug →
ancient13–30.0520%2 Aug →
inferno9–130.0414%2 Aug →
cache13–8-0.0424%2 Aug →
inferno13–110.0317%2 Aug →
vertigo11–13-0.0420%2 Aug →
dust213–110.0317%2 Aug →
ancient13–10-0.0424%2 Aug →
train16–14-0.0237%2 Aug →
inferno13–5-0.0316%31 Jul →
dust213–60.0327%31 Jul →
nuke11–13-0.0719%31 Jul →
cache13–60.0214%31 Jul →
dust211–13-0.0422%31 Jul →
ancient8–13-0.0421%31 Jul →
mirage13–10-0.052%31 Jul →
vertigo6–13-0.0323%31 Jul →
inferno3–13-0.0624%31 Jul →
dust213–50.0511%2 Jun →
mirage13–10.0319%1 Jun →
mirage12–40.0417%31 May →
nuke13–30.0010%31 May →
ancient13–100.0318%31 May →
dust213–30.0822%31 May →
nuke13–00.1435%30 May →
dust26–13-0.0414%29 May →
mirage10–20.0026%5 May →
inferno16–8-0.0620%16 Jan →
inferno16–11-0.0313%16 Jan →
nuke8–16-0.0321%14 Jan →
inferno16–40.0420%14 Jan →
nuke16–100.0313%14 Jan →
vertigo16–100.0521%13 Jan →
inferno16–90.0924%13 Jan →
overpass9–16-0.0217%11 Jan →
inferno16–11-0.0220%10 Jan →
ancient16–70.0317%10 Jan →
nuke16–120.0511%10 Jan →
ancient16–13-0.027%9 Jan →
inferno12–16-0.0412%9 Jan →
ancient12–160.0322%9 Jan →
inferno16–100.0021%9 Jan →
overpass16–70.0622%9 Jan →
vertigo16–130.0523%9 Jan →
mirage9–16-0.0317%8 Jan →
mirage16–14-0.0310%8 Jan →
inferno13–160.0320%8 Jan →
mirage16–13-0.0014%8 Jan →
inferno16–110.0517%8 Jan →
mirage8–16-0.0420%7 Jan →
vertigo10–160.0225%7 Jan →
vertigo16–90.0313%7 Jan →
nuke16–80.0824%7 Jan →
mirage16–14-0.0316%6 Jan →
inferno16–70.0115%6 Jan →
overpass8–16-0.0312%6 Jan →
mirage14–160.0329%6 Jan →
inferno16–13-0.0619%4 Jan →
inferno16–12-0.0124%3 Jan →
inferno9–160.0227%3 Jan →
vertigo8–160.0428%2 Jan →
nuke19–150.0413%2 Jan →
mirage3–16-0.0518%7 Dec →
overpass16–14-0.0612%7 Dec →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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