Arrow004

Arrow004 — CS2 Stats

FI76561198854820630[U:1:894554902]Steam profile ↗✓ No bans

839Tracked matches55%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
Premier CS Rating21,126Top 50% of 213,399 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#68390 of 259984 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (3 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: 21,126 +1,281 25 Sept – 2 Nov · 18 days played
19,00022,054peak 22,05425 Sept2 Nov
22,422Peak Premier in tracked matches
19Days played since 2026-09-25

Premier CS Rating

  • 928 below peak (22,054)
  • -693 over 30 days · declining
  • Next: Red band at 25,000 — 3,874 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGArrow004PREMIER21,126 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning66
Utility34

0–100 skill scores via Leetify.

Recent form

HOT55–40–5Last 10055%Win rateWWWWWTLLWW

Last 10 vs previous 10: +40pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · −18ms reaction

Win rate up 40pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 5–0 · 100% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 525ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 502ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 511ms

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 (+1.9 against its own average).

Aim8.2
Utility3.4
Positioning6.6
Opening Duels4.2

Limited utility dependence

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 88% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.2
Positioning6.6
Utility3.4
Mechanics6.5
Opening Duels4.1
Win Impact6.7

Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time497ms−3ms
first ⅓ avg 500ms → last ⅓ avg 497ms
Headshot accuracy14.8%+1.3%
first ⅓ avg 13.5% → last ⅓ avg 14.8%

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 · 9–3 · inferno, 16 Oct →
100%Best headshot accuracy · 1–3 · inferno, 9 Oct →
320msFastest reaction time · 9–3 · inferno, 2 Oct →
13–2Biggest win · ancient, 22 Oct →

Across the last 100 tracked matches.

Highlights

11Longest win streak
W5Current streak
10–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 89% over 9dust2Weakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
infernoB2915–1452%-0.00
dust2C176–1135%-0.00
mirageS129–375%0.01
anubisC125–742%0.01
cacheA117–464%0.01
ancientS98–189%0.02
nukeC94–544%-0.01
vertigo—11–0100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

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

14.4%Headshot accuracy
38.2%Accuracy (enemy spotted)
41.0%Spray accuracy
79.2%Counter-strafing
8.8°Preaim
498msReaction time
41.4%T opening success
51.1%CT opening success
0.31Enemies flashed / flash
1.6%Flash assists
11.38HE damage / grenade
2.05Flashes / 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 14.3981% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3115 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Dust 2

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

35% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–60.0613%2 Nov →
inferno9–7-0.1313%2 Nov →
inferno13–60.0020%31 Oct →
nuke13–30.0721%31 Oct →
cache13–110.019%31 Oct →
inferno8–8-0.0015%30 Oct →
inferno9–13-0.0719%22 Oct →
mirage14–16-0.0114%22 Oct →
dust213–110.0221%22 Oct →
ancient13–20.0415%22 Oct →
dust26–130.0614%22 Oct →
inferno9–130.0617%22 Oct →
inferno7–13-0.0812%21 Oct →
nuke2–13-0.0522%21 Oct →
cache13–50.0416%21 Oct →
cache11–130.0115%21 Oct →
anubis15–15-0.0313%20 Oct →
inferno13–30.0420%20 Oct →
anubis13–80.0914%20 Oct →
inferno1–13-0.1012%20 Oct →
inferno4–130.0215%20 Oct →
dust213–90.0010%18 Oct →
ancient6–3-0.040%18 Oct →
nuke13–10-0.0320%18 Oct →
cache13–90.0214%18 Oct →
mirage10–13-0.039%17 Oct →
nuke9–130.0111%17 Oct →
ancient13–80.0115%17 Oct →
inferno9–13-0.0416%17 Oct →
ancient13–50.0915%17 Oct →
vertigo9–60.0328%16 Oct →
inferno9–30.1518%16 Oct →
inferno16–14-0.036%16 Oct →
dust26–130.0318%16 Oct →
dust213–9-0.038%16 Oct →
anubis3–130.028%16 Oct →
cache13–60.0215%16 Oct →
nuke7–9-0.0116%16 Oct →
inferno2–9-0.0410%16 Oct →
inferno13–30.0221%13 Oct →
mirage13–30.0613%13 Oct →
dust25–13-0.0216%13 Oct →
mirage13–4-0.067%13 Oct →
dust211–13-0.0618%13 Oct →
mirage13–50.0415%13 Oct →
nuke8–130.0620%13 Oct →
inferno13–9-0.0010%13 Oct →
mirage13–90.0710%13 Oct →
inferno9–70.0115%13 Oct →
dust25–13-0.0511%13 Oct →
dust213–70.0613%11 Oct →
dust215–150.0121%11 Oct →
anubis13–7-0.0016%11 Oct →
inferno1–3-0.03100%9 Oct →
dust28–130.0314%9 Oct →
mirage13–6-0.0018%9 Oct →
dust29–13-0.0713%8 Oct →
anubis13–160.0516%8 Oct →
inferno13–100.0622%8 Oct →
anubis7–130.0321%8 Oct →
nuke4–13-0.0315%8 Oct →
anubis8–13-0.0213%7 Oct →
mirage13–6-0.0114%7 Oct →
cache13–60.0310%7 Oct →
inferno3–13-0.0219%7 Oct →
anubis1–13-0.0214%6 Oct →
inferno3–130.0023%6 Oct →
ancient9–130.0311%6 Oct →
anubis13–5-0.0124%6 Oct →
anubis15–15-0.019%5 Oct →
ancient13–6-0.0414%5 Oct →
mirage13–60.0112%5 Oct →
inferno7–13-0.0515%5 Oct →
inferno13–60.0110%5 Oct →
nuke13–6-0.0112%5 Oct →
dust21–13-0.0511%5 Oct →
inferno2–13-0.0116%5 Oct →
inferno9–6-0.0315%5 Oct →
dust211–13-0.005%2 Oct →
cache13–6-0.025%2 Oct →
mirage11–130.018%2 Oct →
nuke13–10-0.067%2 Oct →
dust29–13-0.0310%2 Oct →
cache10–13-0.035%2 Oct →
inferno13–110.0530%2 Oct →
inferno9–30.0522%2 Oct →
anubis13–5-0.0016%29 Sept →
anubis13–110.0118%29 Sept →
mirage13–110.055%29 Sept →
inferno16–14-0.0320%29 Sept →
dust213–40.0414%29 Sept →
cache8–2-0.046%29 Sept →
mirage13–11-0.0219%29 Sept →
ancient13–40.0021%29 Sept →
inferno9–50.0526%29 Sept →
cache14–160.0713%25 Sept →
cache15–150.0510%25 Sept →
ancient16–120.0413%25 Sept →
dust213–60.0511%25 Sept →
inferno5–130.0315%25 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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