Studio 57

Studio 57 — CS2 Stats

FI76561197960300833[U:1:35105]Steam profile ↗✓ No bans

1,145Tracked matches70%Win rate2023Tracked since
1,179Hours in CS4Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,008 → 1,008
+6Tracked matches · now 1,145
+3.3ppWin rate · 66.7% → 70.0%

Rating over time

Premier CS Rating: 16,506 +1,122 14 Mar – 16 Jun · 12 days played
14,67616,506peak 16,50614 Mar16 Jun
16,624Peak Premier in tracked matches
1,008Highest Faceit ELO seen on CSDB
37Days played since 2026-03-14

Faceit ELO

  • At peak — 1,008
  • Next: Level 5 at 1,051 — 43 to go
  • Reached: Level 4 · Level 3 · Level 2
  • Level 4 first seen 2026-09-26
  • Level 3 first seen 2026-09-26

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.GGStudio 57PEAK ELO1,008csdb.gg/stats

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Performance scores

Aim75
Positioning58
Utility55

0–100 skill scores via Leetify.

Recent form

HOT51–45–4Last 10051%Win rateWWWWWWWWWW

Last 10 vs previous 10: +60pp win rate · +0.02 avg rating · −2.3pp headshot accuracy · +52ms reaction

Win rate up 60pp 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

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 558ms

Last 10

  • 10–0 · 100% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 566ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 540ms

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).

Aim7.5
Utility5.5
Positioning5.8
Opening Duels2.4
Clutch2.2

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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; lower 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

Reaction time. 566ms 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

Aim7.5
Positioning5.8
Utility5.5
Mechanics7.9
Opening Duels2.1
Win Impact10.0

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 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 time568ms−67ms
first ⅓ avg 634ms → last ⅓ avg 568ms
Headshot accuracy22.6%−0.2%
first ⅓ avg 22.8% → last ⅓ avg 22.6%

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

0.13Best match rating · 13–4 · overpass, 1 Apr →
50%Best headshot accuracy · 4–13 · vertigo, 6 Jun →
406msFastest reaction time · 4–13 · ancient, 19 Aug →
13–0Biggest win · cache, 15 May →

Across the last 100 tracked matches.

Highlights

10Longest win streak
W10Current streak
7–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 80% over 5anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
infernoB2211–1150%0.00
ancientB178–947%-0.02
cacheS118–373%0.01
anubisD102–820%-0.02
nukeA95–456%-0.01
overpassA85–363%0.01
dust2D72–529%-0.06
vertigoS54–180%0.00
officeA53–260%0.04
train—30–30%-0.00
mirage—33–0100%0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,789Lifetime kills
1.07K/D · Top 50% of tracked players
1,838Matches
48.9%Match win rate · Top 25% of tracked players
51.4%Headshot % · Top 25% of tracked players
3.7%Shot accuracy
4,044MVPs
705Hours (in match)
2,035Bombs planted
612Bombs defused

Most-used weapons

Lifetime map wins

3,093inferno
2,986nuke
1,255vertigo
1,170dust2
845train
133safehouse
128office
91lake

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

Faceit stats

Combat

147Matches
41%Win rate
0.99Avg K/D
71.7ADR
50%Headshot %

Clutches & streaks

31%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient3647%1.1316.0
Inferno3534%0.9413.3
Nuke3444%1.0914.8
Anubis2045%0.9714.3
Train633%0.6810.7
Mirage520%0.6311.4
Dust2425%0.9315.3
Overpass425%0.6810.3

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.

21.6%Headshot accuracy
34.1%Accuracy (enemy spotted)
30.2%Spray accuracy
85.7%Counter-strafing
9.6°Preaim
566msReaction time
34.0%T opening success
43.0%CT opening success
0.48Enemies flashed / flash
4.4%Flash assists
12.19HE damage / grenade
8.09Flashes / 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 0.4776 — 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 33.999% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.0014%7 Oct →
ancient16–140.0116%7 Oct →
vertigo13–110.0632%23 Sept →
ancient13–50.0318%20 Sept →
cache13–60.0524%13 Sept →
inferno13–5-0.0224%3 Sept →
cache13–4-0.0111%3 Sept →
cache13–7-0.039%23 Aug →
nuke13–60.0619%23 Aug →
inferno13–50.0424%20 Aug →
anubis8–130.0122%19 Aug →
ancient4–13-0.0610%19 Aug →
nuke13–80.0020%19 Aug →
inferno6–13-0.0226%19 Aug →
cache13–50.0824%19 Aug →
train7–13-0.0237%16 Aug →
nuke5–13-0.0313%14 Aug →
inferno13–7-0.0217%14 Aug →
ancient13–10-0.0014%14 Aug →
inferno13–160.0032%9 Aug →
inferno13–10-0.0112%9 Aug →
ancient13–70.0322%16 Jul →
cache13–10-0.0429%3 Jul →
dust25–13-0.0621%29 Jun →
anubis5–130.0120%16 Jun →
ancient13–11-0.0328%16 Jun →
mirage13–8-0.0331%14 Jun →
ancient10–13-0.0020%14 Jun →
office13–40.0134%6 Jun →
vertigo3–00.0211%6 Jun →
vertigo13–40.0042%6 Jun →
vertigo4–13-0.1350%6 Jun →
anubis13–80.0621%30 May →
anubis6–13-0.0127%30 May →
ancient13–100.0124%23 May →
cache0–9-0.0027%23 May →
nuke13–8-0.0718%16 May →
dust216–14-0.1026%16 May →
overpass13–10-0.0520%16 May →
ancient13–90.0415%16 May →
anubis3–13-0.1413%16 May →
office13–20.1215%16 May →
cache12–120.0229%15 May →
cache13–4-0.0325%15 May →
cache13–00.0615%15 May →
office4–13-0.0128%15 May →
cache12–120.0725%9 May →
cache13–11-0.0317%9 May →
train7–13-0.0324%25 Apr →
train10–130.0436%25 Apr →
inferno4–13-0.0127%18 Apr →
inferno6–130.0321%12 Apr →
nuke10–13-0.0326%11 Apr →
vertigo13–40.0623%11 Apr →
overpass13–70.0425%1 Apr →
overpass13–40.1350%1 Apr →
anubis4–13-0.0622%1 Apr →
dust25–13-0.0824%31 Mar →
inferno8–13-0.0313%31 Mar →
mirage13–60.0318%31 Mar →
ancient11–13-0.0235%31 Mar →
dust25–13-0.0814%31 Mar →
mirage13–100.0825%31 Mar →
dust213–90.0318%30 Mar →
inferno9–13-0.0716%30 Mar →
ancient3–13-0.0737%30 Mar →
nuke13–8-0.0028%30 Mar →
nuke8–13-0.0419%30 Mar →
anubis13–40.0531%30 Mar →
inferno7–13-0.0336%30 Mar →
inferno13–90.0833%29 Mar →
inferno13–9-0.0015%29 Mar →
anubis5–13-0.0922%27 Mar →
ancient13–60.0424%27 Mar →
overpass15–15-0.0112%27 Mar →
nuke5–13-0.0316%27 Mar →
inferno10–13-0.0528%27 Mar →
inferno5–130.1032%27 Mar →
inferno13–30.0722%27 Mar →
ancient11–13-0.0227%27 Mar →
inferno13–110.0930%26 Mar →
ancient6–13-0.0418%26 Mar →
dust212–12-0.0226%21 Mar →
inferno2–13-0.0514%21 Mar →
dust211–13-0.0719%21 Mar →
anubis11–13-0.0610%21 Mar →
overpass13–9-0.0020%21 Mar →
office13–80.0326%21 Mar →
overpass10–13-0.0423%20 Mar →
inferno16–12-0.0433%20 Mar →
ancient9–13-0.0430%20 Mar →
office4–130.0440%20 Mar →
ancient7–13-0.1024%18 Mar →
ancient6–13-0.0821%15 Mar →
anubis14–160.0217%15 Mar →
overpass13–100.0217%14 Mar →
overpass9–13-0.0517%14 Mar →
inferno8–130.0123%14 Mar →
nuke13–110.0514%14 Mar →
inferno13–90.0113%14 Mar →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-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.