OuttaSauna

OuttaSauna — CS2 Stats

76561198150550107[U:1:190284379]Steam profile ↗✓ No bans

2,456Tracked matches60%Win rate2020Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating24,999Top 25% of 213,211 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)
CSDB Leaderboard#22716 of 259896 tracked
FaceitLevel 9 · 2,256 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (4 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: 24,999 +2,967 22 Feb – 31 Oct · 30 days played
22,03125,491peak 25,49122 Feb31 Oct
Faceit ELO: 2,256 +0 19 Sept – 12 Oct · 3 observations
2,2562,256peak 2,25619 Sept12 Oct
25,637Peak Premier in tracked matches
2,256Highest Faceit ELO seen on CSDB
38Days played since 2026-02-22

Faceit ELO

  • At peak — 2,256
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 244 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-19
  • Level 9 first seen 2026-09-19

Premier CS Rating

  • 492 below peak (25,491)
  • +965 over 30 days · improving
  • Next: Red band at 25,000 — 1 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-10-12
  • Purple band first seen 2026-10-12

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.GGOuttaSaunaFACEITLevel 9 · 2,256 ELOSTANDINGTop 20.7% of rankedPREMIER24,999 · Pink band30 DAYS0 ELOPEAK ELO2,256csdb.gg/stats

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Performance scores

Aim82
Positioning62
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateWLWWWWLLWL

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −7.7pp headshot accuracy · −93ms reaction

Win rate up 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 536ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 520ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • 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 (+1.6 against its own average).

Aim8.2
Utility4.8
Positioning6.2
Opening Duels3.8
Clutch3.6

Strong CT-side openerLimited 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

jL

Plays most like jL 98% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: 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
Positioning6.2
Utility4.8
Mechanics8.0
Opening Duels5.0
Win Impact8.3

Composite 7.1/10 (Strong), 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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time548ms−26ms
first ⅓ avg 573ms → last ⅓ avg 548ms
Headshot accuracy20.9%+0.1%
first ⅓ avg 20.8% → last ⅓ avg 20.9%

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 · 13–3 · inferno, 10 Mar →
100%Best headshot accuracy · 0–3 · ancient, 8 Oct →
375msFastest reaction time · 2–13 · cache, 8 Oct →
13–1Biggest win · mirage, 24 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 75% over 20ancientWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB2010–1050%0.02
dust2S2015–575%0.01
infernoA1710–759%0.01
nukeB157–847%0.01
ancientB136–746%0.01
cacheA85–363%0.03
overpassA53–260%0.03
anubis—22–0100%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,487Matches
50%Win rate
1.06Avg K/D
75.0ADR
43%Headshot %

Clutches & streaks

38%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage11557%1.0014.8
Anubis8444%1.1315.5
Ancient8146%1.0215.1
Inferno4652%1.0614.7
Dust23853%1.0014.5
Nuke3259%1.0716.5
Overpass1963%1.1614.8
Vertigo1233%1.1114.6

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.

18.2%Headshot accuracy
36.4%Accuracy (enemy spotted)
38.6%Spray accuracy
85.9%Counter-strafing
9.2°Preaim
545msReaction time
45.6%T opening success
54.7%CT opening success
0.46Enemies flashed / flash
7.6%Flash assists
9.55HE damage / grenade
4.75Flashes / 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 0.4563 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–9-0.0225%31 Oct →
inferno9–13-0.0816%25 Oct →
cache13–8-0.0216%24 Oct →
mirage13–10.0118%24 Oct →
dust216–12-0.0412%23 Oct →
anubis13–20.0221%23 Oct →
cache5–13-0.0115%14 Oct →
inferno10–130.0819%11 Oct →
dust213–110.0214%9 Oct →
inferno2–13-0.0424%9 Oct →
cache2–13-0.0510%8 Oct →
nuke1–13-0.1017%8 Oct →
ancient0–3-0.05100%8 Oct →
dust213–40.0414%6 Oct →
ancient13–90.0812%6 Oct →
cache13–80.059%6 Oct →
anubis13–7-0.0341%6 Oct →
mirage10–13-0.029%5 Oct →
nuke12–16-0.0120%4 Oct →
nuke11–130.0226%4 Oct →
dust26–13-0.0324%4 Oct →
mirage13–40.0930%4 Oct →
inferno13–11-0.008%4 Oct →
inferno13–90.0326%4 Oct →
mirage13–60.0714%3 Oct →
cache10–130.076%3 Oct →
cache16–120.0114%3 Oct →
mirage13–11-0.0131%3 Oct →
nuke13–5-0.069%16 Sept →
dust213–7-0.0024%16 Sept →
dust213–60.0219%16 Sept →
dust28–130.0125%16 Sept →
inferno3–13-0.0225%15 Sept →
ancient13–80.0238%14 Sept →
nuke13–110.0830%12 Sept →
ancient13–100.0711%12 Sept →
cache13–60.1421%12 Sept →
ancient11–13-0.0214%12 Sept →
nuke11–130.0523%4 Sept →
nuke2–130.0429%16 Aug →
inferno10–13-0.0521%16 Aug →
ancient13–80.0316%15 Aug →
nuke13–50.0123%15 Aug →
inferno13–11-0.0428%10 Jun →
dust213–8-0.0017%10 Jun →
cache13–100.0723%7 Jun →
dust210–130.0316%27 May →
mirage4–130.0318%27 May →
mirage11–13-0.0530%20 Apr →
dust26–130.0632%17 Apr →
dust213–11-0.0222%12 Apr →
inferno13–50.0038%20 Mar →
nuke3–13-0.088%16 Mar →
overpass10–13-0.0426%16 Mar →
mirage12–16-0.0112%16 Mar →
mirage13–40.1119%15 Mar →
inferno15–150.0314%15 Mar →
mirage13–40.0924%15 Mar →
nuke6–13-0.0124%15 Mar →
overpass13–3-0.0026%15 Mar →
mirage6–130.0514%14 Mar →
inferno6–13-0.0417%14 Mar →
mirage13–8-0.0121%14 Mar →
nuke13–60.0238%14 Mar →
ancient11–130.0412%14 Mar →
mirage14–16-0.0019%14 Mar →
dust213–50.0536%13 Mar →
mirage13–110.0624%13 Mar →
dust213–110.0020%13 Mar →
inferno13–60.0729%13 Mar →
mirage13–80.0122%12 Mar →
inferno13–80.0719%12 Mar →
mirage2–13-0.0527%12 Mar →
dust216–13-0.0320%12 Mar →
dust213–30.020%11 Mar →
inferno13–8-0.0421%11 Mar →
inferno13–30.1516%10 Mar →
dust213–110.0922%9 Mar →
nuke13–60.1112%9 Mar →
inferno13–70.0520%9 Mar →
ancient9–13-0.0740%2 Mar →
dust212–160.0124%2 Mar →
overpass4–50.0524%28 Feb →
ancient13–70.0814%28 Feb →
inferno13–10.0367%28 Feb →
nuke13–70.1017%28 Feb →
mirage5–13-0.029%28 Feb →
dust213–70.0318%28 Feb →
ancient14–160.0010%25 Feb →
dust213–10-0.0116%25 Feb →
ancient7–13-0.0126%22 Feb →
mirage6–13-0.0510%22 Feb →
nuke15–150.0121%22 Feb →
nuke13–10-0.0121%22 Feb →
dust213–10-0.0124%22 Feb →
mirage15–150.1415%22 Feb →
overpass13–80.0516%22 Feb →
ancient13–100.0415%22 Feb →
overpass13–100.0725%22 Feb →
ancient10–13-0.0722%22 Feb →

Match data via Leetify.

Recent teammates

Milestones

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

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