satina

satina — CS2 Stats

NO76561199179406985[U:1:1219141257]Steam profile ↗✓ No bans

2,331Tracked matches59%Win rate2023Tracked since
2,964Hours in CS30Hrs last 2 wks
CSDB Rating5.9 SolidAll-Rounder
Premier CS Rating12,319Blue band · top ~42.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,331 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,319 -5,137 3 Sept – 11 Nov · 20 days played
10,32317,562peak 17,5623 Sept11 Nov
Faceit ELO: 784 +0 3 Sept – 25 Sept · 4 observations
784784peak 7843 Sept25 Sept
17,562Peak Premier in tracked matches
784Highest Faceit ELO seen on CSDB
17Days played since 2026-09-03

Premier CS Rating

  • 5,243 below peak (17,562)
  • +456 over 30 days · improving
  • Next: Purple band at 15,000 — 2,681 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=14,283), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate33.4%43.8%44.8%11.4% short
Shot accuracy8.9%12.0%12.4%3.5% short
Kill/death ratio0.851.021.030.18 short
Match win rate39.6%44.7%45.2%5.6% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsatinaFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER12,319 · Blue bandPEAK ELO784csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim72
Positioning54
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateWWLWLTWWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +0.5pp headshot accuracy · +12ms reaction

Win rate +10pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 605ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 570ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 564ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.2
Utility5.3
Positioning5.4
Opening Duels3.5
Clutch5.4

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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.2
Positioning5.4
Utility5.3
Mechanics6.3
Opening Duels3.9
Win Impact8.1

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time555ms−50ms
first ⅓ avg 605ms → last ⅓ avg 555ms
Headshot accuracy13.7%−1.3%
first ⅓ avg 15.1% → last ⅓ avg 13.7%

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

0.09Best match rating · 10–13 · nuke, 22 Oct →
38%Best headshot accuracy · 4–13 · cache, 21 Oct →
406msFastest reaction time · 8–13 · inferno, 27 Oct →
13–1Biggest win · anubis, 27 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

vertigoBest map · 75% over 8cacheWeakest map · 0% over 10
MapGradePlayedRecordWin rateAvg rating
ancientA1912–763%-0.01
nukeB179–853%-0.00
mirageB136–746%-0.02
anubisB115–645%-0.01
cacheD100–100%-0.02
infernoD102–820%-0.03
dust2C94–544%-0.03
vertigoS86–275%-0.01
train—11–0100%-0.05
office—10–10%-0.06
overpass—11–0100%-0.04

Across the last 100 tracked matches.

Lifetime stats

65,544Lifetime kills
0.85K/D
4,499Matches
39.6%Match win rate
33.4%Headshot %
8.9%Shot accuracy
5,441MVPs
1,585Hours (in match)
5,026Bombs planted
677Bombs defused

Most-used weapons

AK-4716,018
MP92,389
SG 5532,231
AWP2,139
AUG1,760

Lifetime map wins

5,785nuke
3,740dust2
3,693inferno
1,610vertigo
1,277train
223italy
147office
22cbble

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

Faceit stats

Combat

92Matches
57%Win rate
0.98Avg K/D
68.9ADR
37%Headshot %

Clutches & streaks

47%1v1 clutch win
22%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2055%0.9013.8
Ancient1844%0.8613.6
Dust21560%1.0113.7
Nuke1471%1.0813.6
Anubis850%1.1314.3
Inferno743%0.8314.1
Overpass450%1.3514.3
Cache475%0.8712.0

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.

13.2%Headshot accuracy
37.3%Accuracy (enemy spotted)
42.8%Spray accuracy
78.3%Counter-strafing
10.6°Preaim
548msReaction time
42.0%T opening success
49.1%CT opening success
0.51Enemies flashed / flash
5.7%Flash assists
6.64HE damage / grenade
8.14Flashes / 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 13.2278% — below the 15% mark we flag

    Aim Training →
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.

0% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–4-0.026%7 Nov →
ancient13–9-0.067%7 Nov →
ancient11–13-0.065%7 Nov →
vertigo13–90.0412%7 Nov →
nuke11–130.0215%6 Nov →
ancient12–12-0.0217%6 Nov →
dust213–50.0032%6 Nov →
nuke13–9-0.0013%6 Nov →
ancient13–40.0218%6 Nov →
vertigo9–130.0218%6 Nov →
cache10–13-0.0413%6 Nov →
ancient13–10-0.1018%5 Nov →
nuke9–10.010%5 Nov →
inferno4–13-0.0715%4 Nov →
mirage4–13-0.069%4 Nov →
ancient13–110.0612%4 Nov →
cache5–130.0216%4 Nov →
mirage15–150.0310%4 Nov →
mirage13–10-0.0225%4 Nov →
ancient13–7-0.0022%3 Nov →
nuke13–20.0219%3 Nov →
nuke13–7-0.036%3 Nov →
dust211–13-0.0814%3 Nov →
inferno15–15-0.048%2 Nov →
ancient13–20.057%2 Nov →
ancient13–90.0710%2 Nov →
ancient6–13-0.0514%2 Nov →
nuke4–130.0415%2 Nov →
nuke19–170.0610%2 Nov →
anubis8–13-0.0611%2 Nov →
anubis13–60.0313%1 Nov →
inferno9–13-0.0310%1 Nov →
cache8–13-0.0233%1 Nov →
mirage13–10-0.0316%1 Nov →
anubis8–130.0316%1 Nov →
mirage3–13-0.0611%1 Nov →
mirage10–13-0.034%31 Oct →
ancient13–70.0014%31 Oct →
anubis12–12-0.067%29 Oct →
train13–11-0.057%29 Oct →
vertigo6–13-0.0310%29 Oct →
mirage4–13-0.079%29 Oct →
nuke3–13-0.0626%29 Oct →
ancient13–40.0732%28 Oct →
inferno10–13-0.0620%28 Oct →
cache14–160.039%28 Oct →
cache12–16-0.0211%28 Oct →
mirage13–7-0.0218%28 Oct →
vertigo13–40.052%28 Oct →
nuke6–13-0.0316%28 Oct →
office6–13-0.065%28 Oct →
dust211–130.0213%27 Oct →
anubis13–100.0615%27 Oct →
inferno8–13-0.0117%27 Oct →
inferno7–130.0218%27 Oct →
nuke13–8-0.0115%27 Oct →
inferno8–13-0.0515%27 Oct →
nuke13–7-0.0114%27 Oct →
ancient13–6-0.0226%27 Oct →
anubis13–1-0.0514%27 Oct →
dust211–13-0.0314%27 Oct →
cache13–160.0415%23 Oct →
mirage22–190.0310%23 Oct →
nuke7–13-0.0519%23 Oct →
ancient13–40.045%23 Oct →
anubis5–13-0.0419%23 Oct →
inferno13–60.0427%23 Oct →
vertigo13–30.0317%23 Oct →
nuke13–20.0317%22 Oct →
cache8–13-0.0511%22 Oct →
ancient1–13-0.0818%22 Oct →
dust210–13-0.0415%22 Oct →
dust213–11-0.0222%22 Oct →
nuke10–130.0917%22 Oct →
mirage13–10-0.029%22 Oct →
cache10–130.0118%21 Oct →
ancient10–13-0.0416%21 Oct →
cache6–13-0.0635%21 Oct →
anubis4–13-0.0510%21 Oct →
dust211–13-0.0418%21 Oct →
cache4–13-0.0638%21 Oct →
vertigo13–5-0.035%20 Oct →
dust213–9-0.0710%20 Oct →
mirage10–13-0.0112%20 Oct →
vertigo13–4-0.0614%20 Oct →
anubis13–60.0014%19 Oct →
mirage13–11-0.0016%19 Oct →
inferno13–110.0321%19 Oct →
nuke10–13-0.0714%19 Oct →
ancient13–110.019%19 Oct →
overpass13–9-0.048%18 Oct →
vertigo13–6-0.078%18 Oct →
ancient3–13-0.0811%18 Oct →
anubis13–50.0517%18 Oct →
inferno9–13-0.098%18 Oct →
mirage5–13-0.0412%18 Oct →
anubis2–13-0.0730%18 Oct →
nuke13–11-0.0511%18 Oct →
nuke9–13-0.019%18 Oct →
ancient10–13-0.078%18 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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.