Phineas

Phineas — CS2 Stats

SX76561198121364198[U:1:161098470]Steam profile ↗✓ No bans

460Tracked matches86%Win rate2021Tracked since
380Hours in CS15Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating16,097Purple band · top ~24% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Oct 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: 16,097 +1,361 8 Oct – 24 Oct · 3 days played
14,73616,097peak 16,0978 Oct24 Oct
16,097Peak Premier in tracked matches
47Days played since 2026-04-27

Premier CS Rating

  • At peak — 16,097
  • Next: Pink band at 20,000 — 3,903 to go
  • Reached: 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.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate42.8%44.4%46.9%4.2% short
Shot accuracy0.8%11.9%13.0%12.2% short
Kill/death ratio1.171.031.08above
Match win rate42.6%45.2%46.7%4.0% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPhineasPREMIER16,097 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning70
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY54–41–5Last 10054%Win rateWTWWWWWWWL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −1.9pp headshot accuracy · +35ms reaction

Win rate down 20pp 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 18%
  • Avg reaction 628ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 17%
  • Avg reaction 584ms

Last 20

  • 18–1–1 · 90% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 567ms

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 (+1.3 against its own average).

Aim7.4
Utility3.6
Positioning7.0
Opening Duels6.6

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

s1mple

Plays most like s1mple 90% 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

Strengths

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 70% on T to 50% on CT — first contacts on the defending side are being lost.

Reaction time. 570ms 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

Aim7.4
Positioning7.0
Utility3.6
Mechanics5.5
Opening Duels7.5
Win Impact10.0

Composite 6.7/10 (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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time566ms−51ms
first ⅓ avg 617ms → last ⅓ avg 566ms
Headshot accuracy17.5%−2.2%
first ⅓ avg 19.7% → last ⅓ avg 17.5%

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

0.25Best match rating · 13–8 · mirage, 19 Oct →
45%Best headshot accuracy · 9–13 · office, 4 Aug →
359msFastest reaction time · 8–5 · mirage, 8 Oct →
13–0Biggest win · nuke, 24 Jul →

Across the last 100 tracked matches.

Highlights

14Longest win streak
6–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

infernoBest map · 75% over 8officeWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A2212–1055%0.01
mirageB1910–953%0.04
cacheA148–657%0.04
officeC125–742%0.02
anubisA95–456%0.03
infernoS86–275%0.02
nukeS75–271%0.03
vertigo—30–30%-0.01
ancient—32–167%-0.02
overpass—21–150%0.07
train—10–10%0.18

Across the last 100 tracked matches.

Lifetime stats

11,326Lifetime kills
1.17K/D · Top 25% of Purple band
624Matches
42.6%Match win rate
42.8%Headshot %
0.8%Shot accuracy
1,416MVPs
213Hours (in match)
491Bombs planted
75Bombs defused

Most-used weapons

Lifetime map wins

1,186dust2
647office
633nuke
591inferno
153vertigo
138train
11ar_shoots
11ar_baggage

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.

17.3%Headshot accuracy
38.4%Accuracy (enemy spotted)
41.5%Spray accuracy
74.5%Counter-strafing
10.3°Preaim
570msReaction time
69.8%T opening success
50.3%CT opening success
0.36Enemies flashed / flash
5.2%Flash assists
3.92HE damage / grenade
9.86Flashes / 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 0.3583 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
cache13–80.0711%26 Oct →
dust212–120.0924%26 Oct →
mirage13–60.0913%26 Oct →
nuke13–30.0913%26 Oct →
anubis13–70.0127%24 Oct →
dust213–70.0319%24 Oct →
cache13–50.1018%24 Oct →
inferno16–13-0.0113%24 Oct →
inferno13–60.0523%23 Oct →
vertigo1–8-0.048%23 Oct →
cache13–6-0.0210%23 Oct →
dust213–10.0531%23 Oct →
ancient13–7-0.0515%21 Oct →
anubis13–10.0912%21 Oct →
ancient13–20.0618%21 Oct →
cache13–4-0.0425%19 Oct →
nuke13–10-0.0418%19 Oct →
dust213–3-0.0719%19 Oct →
inferno13–110.0720%19 Oct →
mirage13–80.2519%19 Oct →
inferno13–110.0919%16 Oct →
dust213–6-0.0512%14 Oct →
mirage13–80.0912%8 Oct →
mirage8–5-0.0123%8 Oct →
dust24–13-0.0719%29 Sept →
mirage13–40.0419%29 Sept →
anubis16–140.0720%18 Sept →
mirage8–13-0.028%16 Sept →
cache13–10.1218%16 Sept →
cache6–13-0.0011%31 Aug →
anubis7–130.0112%31 Aug →
mirage13–90.0920%31 Aug →
dust23–130.0528%28 Aug →
inferno5–13-0.0127%24 Aug →
mirage13–80.0823%19 Aug →
mirage11–130.0926%13 Aug →
mirage10–13-0.0310%6 Aug →
inferno13–60.0517%5 Aug →
office9–13-0.0245%4 Aug →
mirage5–13-0.0421%4 Aug →
anubis13–80.0421%4 Aug →
nuke13–60.0817%4 Aug →
dust213–6-0.0222%31 Jul →
anubis6–13-0.0315%31 Jul →
dust213–5-0.0127%29 Jul →
inferno7–13-0.0019%26 Jul →
cache11–13-0.0216%26 Jul →
nuke8–13-0.0143%24 Jul →
nuke13–0-0.010%24 Jul →
mirage8–13-0.0113%20 Jul →
nuke13–50.0224%20 Jul →
office3–130.0318%11 Jul →
mirage7–13-0.0320%11 Jul →
dust22–13-0.0818%11 Jul →
dust213–110.0119%8 Jul →
office5–13-0.0117%8 Jul →
office13–10.0527%8 Jul →
mirage13–4-0.0419%3 Jul →
dust213–100.0627%3 Jul →
office9–130.0321%2 Jul →
overpass1–130.0717%2 Jul →
mirage9–13-0.0125%28 Jun →
dust25–130.0019%27 Jun →
cache3–40.1512%24 Jun →
mirage7–130.0510%24 Jun →
overpass13–80.0613%24 Jun →
mirage4–130.1213%23 Jun →
inferno13–2-0.0711%23 Jun →
ancient8–13-0.056%20 Jun →
dust213–80.0028%20 Jun →
anubis13–90.0713%17 Jun →
cache13–90.1315%12 Jun →
mirage13–10.0613%12 Jun →
dust21–60.1821%12 Jun →
office13–7-0.0230%4 Jun →
vertigo12–120.0620%4 Jun →
nuke10–130.0626%2 Jun →
dust213–20.039%2 Jun →
mirage13–30.0612%2 Jun →
dust27–130.0216%30 May →
anubis1–130.0428%27 May →
anubis2–8-0.0210%27 May →
office13–110.0329%27 May →
office13–100.0316%25 May →
office13–80.0616%21 May →
dust27–13-0.0237%19 May →
dust213–110.0221%13 May →
office5–130.0533%13 May →
office3–130.0424%13 May →
dust212–120.0119%9 May →
cache12–120.0916%9 May →
train9–130.1813%7 May →
vertigo11–13-0.0630%7 May →
dust27–13-0.0327%7 May →
cache12–12-0.0918%7 May →
cache13–20.0616%4 May →
cache9–13-0.0413%4 May →
cache13–4-0.0114%4 May →
office7–130.0129%27 Apr →
dust213–30.0723%27 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches14-Win Streak
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.