Anna Sakkoa

Anna Sakkoa — CS2 Stats

IL76561198072353737[U:1:112088009]Steam profile ↗✓ No bans

567Tracked matches47%Win rate2024Tracked since
447Hours in CS2Hrs last 2 wks
CSDB Rating4.4 DevelopingSupport
Premier CS Rating17,822Purple band · top ~17.2% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (3 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: 17,822 +2,944 27 May – 1 Nov · 5 days played
14,87817,936peak 17,93627 May1 Nov
17,936Peak Premier in tracked matches
51Days played since 2026-05-27

Premier CS Rating

  • 114 below peak (17,936)
  • Next: Pink band at 20,000 — 2,178 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate44.6%42.7%43.8%meets
Shot accuracy0.0%11.2%12.0%12.0% short
Kill/death ratio0.810.991.020.21 short
Match win rate47.1%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAnna SakkoaFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER17,822 · Purple bandcsdb.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

Aim44
Positioning54
Utility62

0–100 skill scores via Leetify.

Recent form

STEADY41–51–8Last 10041%Win rateLWWWLWWWLL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −0.7pp headshot accuracy · +38ms reaction

Win rate up 30pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 559ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 540ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 521ms

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: Support — Utility contribution stands above the rest of this profile (+2.3 against its own average).

Aim4.4
Utility6.2
Positioning5.4
Opening Duels2.3
Clutch1.6

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

Twistzz

Plays most like Twistzz 67% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.4
Positioning5.4
Utility6.2
Mechanics2.7
Opening Duels2.5
Win Impact3.9

Composite 4.4/10 (Developing), 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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time524ms−83ms
first ⅓ avg 607ms → last ⅓ avg 524ms
Headshot accuracy15.9%−4.9%
first ⅓ avg 20.7% → last ⅓ avg 15.9%

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

0.10Best match rating · 13–5 · inferno, 5 Jul →
35%Best headshot accuracy · 9–13 · inferno, 28 Sept →
391msFastest reaction time · 4–3 · inferno, 5 Oct →
13–2Biggest win · inferno, 6 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 50% over 6infernoWeakest map · 38% over 77
MapGradePlayedRecordWin rateAvg rating
infernoC7729–4838%-0.01
nukeB63–350%-0.01
mirageC52–340%0.00
ancient—42–250%-0.04
cache—31–233%-0.02
dust2—32–167%-0.04
anubis—22–0100%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 77). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,369Lifetime kills
0.81K/D
679Matches
47.1%Match win rate · Top 25% of Level 4 players
44.6%Headshot % · Top 50% of Level 4 players
0.0%Shot accuracy
1,108MVPs
260Hours (in match)
445Bombs planted
110Bombs defused

Most-used weapons

Lifetime map wins

3,699inferno
581dust2
449nuke
251train
22vertigo

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

Faceit stats

Combat

71Matches
54%Win rate
0.99Avg K/D
78.5ADR
40%Headshot %

Clutches & streaks

28%1v1 clutch win
30%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1856%0.9214.2
Ancient1471%1.0914.0
Mirage1145%1.0517.9
Nuke743%0.8713.6
Train667%1.1312.2
Dust2540%0.7614.4
Overpass475%1.0915.8
Anubis425%1.0815.0

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.

15.8%Headshot accuracy
31.4%Accuracy (enemy spotted)
33.8%Spray accuracy
62.3%Counter-strafing
12.2°Preaim
525msReaction time
34.2%T opening success
45.9%CT opening success
0.53Enemies flashed / flash
6.5%Flash assists
7.77HE damage / grenade
13.15Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1908° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Inferno

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

38% win rate across 77 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–130.0414%1 Nov →
mirage13–40.0124%21 Oct →
nuke13–9-0.0121%21 Oct →
inferno13–7-0.0118%21 Oct →
inferno1–13-0.048%18 Oct →
mirage13–70.018%17 Oct →
anubis13–50.017%17 Oct →
anubis13–10-0.0514%16 Oct →
inferno2–13-0.0612%16 Oct →
inferno10–13-0.0122%16 Oct →
cache10–13-0.029%13 Oct →
inferno13–3-0.026%13 Oct →
inferno11–13-0.0724%12 Oct →
nuke10–13-0.0111%10 Oct →
inferno6–13-0.0711%7 Oct →
inferno11–13-0.0022%7 Oct →
inferno5–13-0.0920%5 Oct →
inferno4–3-0.0419%5 Oct →
inferno13–90.0316%5 Oct →
inferno8–13-0.0316%4 Oct →
inferno6–13-0.028%3 Oct →
inferno11–3-0.0615%1 Oct →
inferno13–50.0319%1 Oct →
inferno7–13-0.0512%1 Oct →
inferno13–5-0.0311%1 Oct →
inferno10–130.0011%30 Sept →
inferno7–13-0.0724%28 Sept →
inferno9–130.0335%28 Sept →
inferno13–100.0419%23 Sept →
inferno13–7-0.0212%22 Sept →
inferno6–130.0217%16 Sept →
dust213–9-0.0223%16 Sept →
nuke14–16-0.0118%16 Sept →
mirage2–50.0231%7 Sept →
inferno9–130.0317%6 Sept →
inferno5–130.0924%6 Sept →
inferno13–30.1024%4 Sept →
inferno7–13-0.0714%3 Sept →
inferno13–10-0.0322%3 Sept →
mirage3–13-0.0532%3 Sept →
inferno13–9-0.0321%3 Sept →
inferno13–110.0417%30 Aug →
inferno3–13-0.0426%30 Aug →
inferno6–13-0.0313%29 Aug →
inferno7–13-0.0620%21 Aug →
inferno11–13-0.0226%19 Aug →
inferno13–11-0.0414%15 Aug →
ancient13–50.0132%15 Aug →
dust29–13-0.0913%10 Aug →
inferno6–2-0.0313%10 Aug →
inferno13–60.019%10 Aug →
inferno13–10-0.0325%6 Aug →
ancient6–13-0.1116%26 Jul →
nuke13–90.0420%26 Jul →
inferno13–11-0.0518%24 Jul →
ancient13–8-0.0116%24 Jul →
nuke13–9-0.0818%20 Jul →
inferno11–130.0021%20 Jul →
inferno8–130.0332%19 Jul →
inferno13–60.0315%18 Jul →
cache12–12-0.0423%14 Jul →
inferno12–12-0.0927%7 Jul →
inferno6–13-0.0327%7 Jul →
inferno5–13-0.0226%5 Jul →
inferno12–12-0.0419%5 Jul →
inferno13–6-0.0519%5 Jul →
inferno9–13-0.0232%5 Jul →
inferno5–13-0.0422%5 Jul →
inferno12–120.0223%5 Jul →
inferno13–50.1018%5 Jul →
inferno7–130.0215%3 Jul →
inferno13–11-0.0022%3 Jul →
cache13–8-0.0134%2 Jul →
inferno12–12-0.0823%2 Jul →
inferno11–13-0.0526%2 Jul →
inferno13–7-0.0215%2 Jul →
inferno12–120.0214%22 Jun →
inferno9–130.0421%17 Jun →
inferno2–7-0.0529%17 Jun →
inferno7–13-0.0128%17 Jun →
inferno13–11-0.0513%16 Jun →
inferno8–130.0712%15 Jun →
inferno13–11-0.0719%12 Jun →
inferno8–13-0.0216%12 Jun →
inferno12–120.0019%12 Jun →
inferno13–30.0823%12 Jun →
inferno6–13-0.0322%11 Jun →
inferno7–13-0.0410%11 Jun →
dust28–7-0.0123%9 Jun →
inferno4–130.0122%9 Jun →
nuke8–13-0.0230%9 Jun →
inferno13–20.0320%6 Jun →
inferno12–120.0717%5 Jun →
inferno13–40.0120%3 Jun →
inferno7–13-0.0722%3 Jun →
inferno6–13-0.0117%3 Jun →
inferno7–13-0.0527%3 Jun →
inferno2–13-0.0626%28 May →
inferno13–20.0322%27 May →
ancient5–13-0.0419%27 May →

Match data via Leetify.

Recent teammates

Milestones

500 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.