SatiVa

SatiVa — CS2 Stats

ZA76561198435034478[U:1:474768750]Steam profile ↗✓ No bans

1,949Tracked matches57%Win rate2020Tracked since
4,530Hours in CS
CSDB Rating6.9 SolidAll-Rounder
CSDB Leaderboard#71510 of 224791 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify
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. 38 days played since 30 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 20,116 +3,146 30 Mar30 May · 29 days played
16,97021,495peak 21,49530 Mar30 May
21,495Peak Premier in tracked matches
38Days played since 2026-03-30

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 2 among CSDB-tracked players (n=5,197), 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 2 medianLevel 3 medianvs Level 3
Headshot rate57.5%41.3%41.9%above
Shot accuracy19.8%12.7%12.2%above
Kill/death ratio1.130.960.98above
Match win rate22.8%42.5%43.3%20.4% short

This profile matches the typical Level 3 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSatiVaFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning58
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY53425Last 10053%Win rateLWLWWLWLWW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · −43ms 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 31%
  • Avg reaction 641ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 620ms

Last 20

  • 1010 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 642ms

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-RounderNo style dimension stands clear of the others in this profile.

Aim8.1
Utility6.0
Positioning5.8
Opening Duels4.3

Excellent counter-strafing

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 95% playstyle similarity

Most alike: utility contribution, opening-duel success.

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. 648ms 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

Aim8.1
Positioning5.8
Utility6.0
Mechanics8.5
Opening Duels3.6
Win Impact7.4

Composite 6.9/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time645ms−40ms
first ⅓ avg 685ms → last ⅓ avg 645ms
Headshot accuracy29.1%−1.3%
first ⅓ avg 30.4% → last ⅓ avg 29.1%

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

0.16Best match rating · 13–5 · mirage, 3 Apr
55%Best headshot accuracy · 13–5 · dust2, 11 May
453msFastest reaction time · 13–8 · inferno, 30 Apr
13–3Biggest win · dust2, 30 Apr

Across the last 100 tracked matches.

Highlights

5Longest win streak
74In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 71% over 7ancientWeakest map · 45% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA33181555%0.02
dust2B31151648%0.02
ancientB115645%-0.00
infernoA117464%0.04
nukeS75271%0.02
cache42250%0.04
anubis31233%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (45% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

235,112Lifetime kills
1.13K/D · Top 25% of Level 2 players
8,862Matches
22.8%Match win rate
57.5%Headshot % · Top 5% of Level 2 players
19.8%Shot accuracy · Top 5% of Level 2 players
9,766MVPs
4,530Hours (in match)
2,759Bombs planted
1,293Bombs defused

Most-used weapons

AK-4790,032
SSG 0812,969
AWP9,253
P2506,829
MAC-102,235

Lifetime map wins

15,658dust2
6,382inferno
3,201nuke
1,896vertigo
1,623train
389cbble
89lake
22ar_shoots

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.

30.2%Headshot accuracy
33.8%Accuracy (enemy spotted)
33.2%Spray accuracy
88.4%Counter-strafing
9.4°Preaim
648msReaction time
40.7%T opening success
48.1%CT opening success
0.68Enemies flashed / flash
8.7%Flash assists
10.03HE damage / grenade
11.98Flashes / match

Recommended for you

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.

45% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0322%30 Aug
mirage13–70.0334%30 Aug
ancient6–13-0.0535%30 Aug
nuke13–11-0.0728%25 Aug
mirage13–80.0835%23 Aug
mirage4–130.0215%23 Aug
nuke16–14-0.0148%23 Aug
anubis6–130.0414%22 Aug
mirage13–90.0529%22 Aug
dust213–11-0.0120%17 Aug
ancient7–13-0.0431%17 Aug
mirage13–90.0426%16 Aug
mirage7–13-0.0129%10 Aug
inferno13–50.1020%9 Aug
dust211–130.0727%26 Jul
anubis5–13-0.0322%26 Jul
inferno13–50.0338%30 May
dust26–13-0.0516%30 May
dust26–130.0640%21 May
ancient13–80.0840%15 May
mirage16–130.0433%15 May
dust215–15-0.0024%15 May
ancient13–90.0231%15 May
dust213–9-0.0025%14 May
mirage13–80.0047%14 May
nuke13–70.0528%14 May
dust215–150.0036%13 May
dust210–130.0522%13 May
mirage7–130.0240%13 May
ancient16–120.0137%12 May
mirage16–120.0924%12 May
mirage13–100.0125%12 May
dust211–13-0.0020%12 May
mirage8–13-0.0226%11 May
dust213–50.1055%11 May
mirage9–130.0035%11 May
mirage13–80.0328%3 May
mirage5–13-0.0322%3 May
dust24–130.0146%3 May
mirage5–13-0.0830%3 May
ancient13–90.0433%3 May
mirage13–100.0232%3 May
cache13–50.0841%3 May
ancient11–13-0.0044%1 May
inferno1–13-0.0033%1 May
cache7–130.0724%1 May
cache13–40.0226%1 May
dust213–30.0454%30 Apr
inferno13–80.0425%30 Apr
inferno13–60.1240%29 Apr
cache6–13-0.0137%29 Apr
nuke9–130.0132%28 Apr
inferno6–13-0.0043%28 Apr
dust213–60.0124%27 Apr
inferno13–110.0127%27 Apr
mirage15–150.0429%27 Apr
dust29–13-0.0226%27 Apr
anubis13–100.0928%27 Apr
mirage13–30.1028%27 Apr
ancient15–15-0.0032%25 Apr
inferno16–130.1340%25 Apr
dust213–3-0.0428%19 Apr
nuke11–130.0732%19 Apr
dust213–50.1129%19 Apr
ancient6–13-0.0126%18 Apr
dust216–120.0337%18 Apr
mirage13–9-0.0443%18 Apr
nuke13–60.0615%18 Apr
ancient1–13-0.1014%17 Apr
mirage8–130.0224%15 Apr
mirage4–13-0.0126%14 Apr
dust215–150.0229%14 Apr
mirage10–130.0335%13 Apr
dust213–100.0336%13 Apr
mirage13–7-0.0117%12 Apr
dust213–90.0629%12 Apr
mirage5–13-0.0424%12 Apr
dust213–110.0139%11 Apr
dust22–13-0.0332%6 Apr
nuke13–90.0523%6 Apr
dust28–130.0551%6 Apr
dust24–130.0226%6 Apr
dust216–120.0537%6 Apr
mirage2–13-0.0433%6 Apr
dust24–13-0.0838%5 Apr
inferno10–130.0129%5 Apr
mirage3–13-0.0535%5 Apr
mirage13–60.0636%3 Apr
dust213–110.0138%3 Apr
dust213–60.0235%3 Apr
mirage8–13-0.0145%3 Apr
mirage13–50.1630%3 Apr
dust213–80.0437%3 Apr
dust210–130.0430%2 Apr
ancient13–30.0126%2 Apr
inferno13–110.0429%2 Apr
mirage13–50.0340%2 Apr
mirage13–10-0.0024%1 Apr
mirage13–8-0.0019%31 Mar
inferno7–13-0.0222%30 Mar

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 →