Pinhas

Pinhas — CS2 Stats

76561198078719779[U:1:118454051]Steam profile ↗✓ No bans

2,194Tracked matches33%Win rate2020Tracked since
CSDB Rating5.6 SolidPositional Player
FaceitLevel 9 · 2,374 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,194 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 71 days played since 12 Jan 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 25,513 -201 3 Apr20 May · 2 days played
25,51325,714peak 25,7143 Apr20 May
Faceit ELO: 2,374 +0 31 Aug17 Sept · 4 observations
2,3742,374peak 2,37431 Aug17 Sept
25,714Peak Premier in tracked matches
2,374Highest Faceit ELO seen on CSDB
71Days played since 2025-01-12

Faceit ELO

  • At peak — 2,374
  • Next: 2,500 ELO at 2,500 126 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-08-31
  • Level 9 first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGPinhasFACEITLevel 9 · 2,374 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,374csdb.gg/stats

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Performance scores

Aim76
Positioning60
Utility41

0–100 skill scores via Leetify.

Recent form

COLD56431Last 10056%Win rateLLLLLWLLWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −6.2pp headshot accuracy · −128ms reaction

Win rate 0pp 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

  • 05 · 0% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 577ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 558ms

Last 20

  • 416 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 622ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim7.6
Utility4.1
Positioning6.0
Opening Duels5.2
Clutch3.6

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

donk

Plays most like donk 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; 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.

T-side openings. Opening success drops from 57% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 620ms 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

Aim7.6
Positioning6.0
Utility4.1
Mechanics7.0
Opening Duels4.2
Win Impact0.0

Composite 5.6/10 (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-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time622ms+6ms
first ⅓ avg 617ms → last ⅓ avg 622ms
Headshot accuracy20.2%+2.7%
first ⅓ avg 17.6% → last ⅓ avg 20.2%

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

0.17Best match rating · 13–5 · nuke, 11 Jul
38%Best headshot accuracy · 3–13 · cache, 16 Jun
422msFastest reaction time · 3–13 · ancient, 14 Aug
13–1Biggest win · overpass, 25 Mar

Across the last 100 tracked matches.

Highlights

10Longest win streak
L5Current streak
1210In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 79% over 14cacheWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C1881044%-0.01
mirageA148657%-0.02
anubisS1411379%-0.00
ancientB137654%-0.00
infernoB137654%0.01
cacheC73443%0.01
trainB63350%0.01
nukeA53260%0.05
overpass43175%0.04
vertigo32167%-0.03
warden110100%-0.03
stronghold1010%0.05
jura1010%-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

2,908Matches
51%Win rate
1.08Avg K/D
81.0ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage35147%0.9815.3
Ancient34053%1.0816.2
Anubis32650%1.0815.9
Inferno26954%1.1516.6
Dust219848%1.0515.5
Nuke8938%0.9714.3
Vertigo8847%1.0615.0
Train6560%1.1718.1

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.

19.3%Headshot accuracy
38.1%Accuracy (enemy spotted)
38.8%Spray accuracy
81.6%Counter-strafing
9.6°Preaim
620msReaction time
37.0%T opening success
56.7%CT opening success
0.48Enemies flashed / flash
5.4%Flash assists
7.09HE damage / grenade
5.88Flashes / 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 0.4807 — 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 37.0069% — below the 40% mark we flag

Spend your practice time on Cache

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust28–130.0021%1 Sept
mirage11–130.0020%24 Aug
ancient11–13-0.0119%24 Aug
nuke7–130.1015%24 Aug
mirage6–13-0.0513%23 Aug
inferno13–11-0.0519%14 Aug
ancient3–130.0220%14 Aug
cache8–13-0.0116%14 Aug
dust213–60.0327%14 Aug
mirage8–13-0.1016%7 Aug
ancient9–13-0.059%12 Jul
dust210–13-0.0132%4 Jul
dust28–130.0117%26 Jun
dust211–13-0.0514%20 Jun
dust29–130.0732%18 Jun
anubis10–13-0.0319%17 Jun
cache10–13-0.0034%16 Jun
cache3–13-0.0238%16 Jun
dust216–140.0227%9 Jun
anubis13–110.0427%9 Jun
overpass13–90.0111%6 Jun
dust213–11-0.0126%6 Jun
mirage16–140.0310%29 May
mirage7–13-0.1215%23 May
inferno14–16-0.017%23 May
dust213–6-0.0421%20 May
ancient16–19-0.0313%16 May
anubis13–16-0.0420%16 May
mirage13–9-0.0223%14 May
anubis25–23-0.0616%13 May
inferno13–10-0.0413%9 May
cache16–140.0032%9 May
anubis13–9-0.0327%2 May
inferno13–9-0.0229%30 Apr
dust213–8-0.0022%30 Apr
cache12–120.028%29 Apr
cache13–60.0137%29 Apr
cache13–70.0735%29 Apr
inferno20–22-0.0027%17 Apr
mirage13–11-0.0525%3 Apr
mirage6–13-0.0416%3 Apr
nuke13–20.0328%1 Apr
ancient13–90.0111%1 Apr
vertigo11–13-0.0417%1 Apr
vertigo13–10-0.0322%1 Apr
ancient4–13-0.0434%1 Apr
inferno9–130.0918%28 Mar
anubis13–60.0516%28 Mar
vertigo13–2-0.0126%28 Mar
warden13–4-0.0319%28 Mar
inferno11–130.0419%26 Mar
train4–130.0018%26 Mar
stronghold7–130.0516%26 Mar
overpass13–10.1218%25 Mar
train13–50.0429%25 Mar
ancient13–80.0317%14 Mar
mirage13–6-0.0315%14 Mar
dust25–130.0122%10 Mar
dust29–13-0.0421%7 Mar
inferno13–10-0.0013%6 Mar
overpass13–100.0521%11 Feb
inferno10–13-0.0318%7 Feb
nuke13–6-0.0230%24 Jan
dust213–9-0.0032%23 Jan
mirage13–40.1222%2 Dec
overpass9–13-0.0217%29 Nov
anubis13–70.0112%29 Nov
nuke8–13-0.049%8 Oct
dust210–13-0.0822%10 Sept
dust216–14-0.016%29 Aug
train13–80.0423%20 Aug
jura7–13-0.0524%1 Aug
inferno10–13-0.0211%18 Jul
dust211–130.0514%12 Jul
nuke13–50.1717%11 Jul
ancient13–8-0.0416%8 Jul
ancient11–13-0.0416%3 Jul
train13–90.0014%3 Jul
ancient13–70.0418%3 Jul
anubis13–11-0.0318%29 Jun
dust21–13-0.0624%30 May
train10–130.0121%27 May
dust213–9-0.0123%26 May
anubis9–13-0.0517%16 May
train9–13-0.0316%3 May
anubis13–90.0314%26 Apr
inferno13–90.0318%20 Apr
mirage13–50.0317%12 Apr
anubis13–100.0217%2 Apr
ancient16–140.0417%26 Mar
anubis13–8-0.0319%17 Mar
ancient19–16-0.0110%14 Mar
ancient13–20.0620%13 Mar
mirage16–140.0116%21 Feb
mirage13–60.0132%29 Jan
mirage11–13-0.0716%27 Jan
inferno13–70.0518%18 Jan
inferno13–20.0819%17 Jan
anubis13–40.0919%13 Jan
anubis19–15-0.0320%12 Jan

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →