Birgitta

Birgitta — CS2 Stats

FI76561198931952695[U:1:971686967]Steam profile ↗✓ No bans

1,084Tracked matches57%Win rate2022Tracked since
CSDB Rating6.8 SolidOpening Duellist
Premier CS Rating17,569Purple band · top ~18.2% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (7 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: 17,569 -1,693 19 Apr – 29 Oct · 15 days played
14,70219,999peak 19,99919 Apr29 Oct
19,999Peak Premier in tracked matches
43Days played since 2026-04-19

Premier CS Rating

  • 2,430 below peak (19,999)
  • Next: Pink band at 20,000 — 2,431 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.

Share this profile

CSDB.GGBirgittaFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER17,569 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning75
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY42–56–2Last 10042%Win rateLWWLWWLWLW

Last 10 vs previous 10: −30pp win rate · −0.06 avg rating · −0.2pp headshot accuracy · +15ms reaction

Win rate down 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 -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 577ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 26%
  • Avg reaction 574ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • 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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.8 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim7.3
Utility3.4
Positioning7.5
Opening Duels8.1

Limited 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

s1mple

Plays most like s1mple 72% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

Strengths

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 76% T opening-duel success — entries that actually open the round.

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

Aim7.3
Positioning7.5
Utility3.4
Mechanics6.7
Opening Duels9.1
Win Impact7.2

Composite 6.8/10 (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 time541ms−39ms
first ⅓ avg 580ms → last ⅓ avg 541ms
Headshot accuracy21.8%−1.8%
first ⅓ avg 23.6% → last ⅓ avg 21.8%

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

0.14Best match rating · 16–14 · ancient, 21 Oct →
80%Best headshot accuracy · 13–3 · cache, 28 May →
406msFastest reaction time · 13–11 · ancient, 10 Oct →
13–1Biggest win · dust2, 24 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
14–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 64% over 11cacheWeakest map · 36% over 44
MapGradePlayedRecordWin rateAvg rating
cacheC4416–2836%0.01
nukeC125–742%0.01
ancientA117–464%0.03
mirageC104–640%0.03
infernoA95–456%-0.01
anubisC73–443%0.01
dust2C52–340%-0.01
overpass—20–20%0.01

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.1%Headshot accuracy
32.6%Accuracy (enemy spotted)
28.8%Spray accuracy
80.0%Counter-strafing
8.8°Preaim
539msReaction time
75.9%T opening success
62.7%CT opening success
0.45Enemies flashed / flash
0.8%Flash assists
9.09HE damage / grenade
3.84Flashes / 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 0.4473 — below the 0.5 mark we flag

    Grenade Lineups →
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.

36% win rate across 44 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis3–13-0.0711%29 Oct →
nuke13–40.0133%29 Oct →
nuke16–14-0.0027%29 Oct →
mirage4–13-0.0535%29 Oct →
inferno13–110.0424%29 Oct →
mirage13–60.0523%29 Oct →
ancient8–13-0.0625%24 Oct →
inferno13–90.0137%24 Oct →
mirage5–13-0.0226%24 Oct →
nuke13–80.0218%24 Oct →
nuke13–20.1310%24 Oct →
dust213–1-0.0019%24 Oct →
ancient16–140.1424%21 Oct →
dust213–10-0.0140%20 Oct →
ancient16–140.0820%19 Oct →
anubis13–110.0130%18 Oct →
ancient13–40.0733%17 Oct →
mirage10–130.0328%11 Oct →
mirage13–30.0730%11 Oct →
ancient13–60.0227%10 Oct →
nuke6–13-0.0314%10 Oct →
dust21–13-0.0517%10 Oct →
ancient13–11-0.0114%10 Oct →
inferno10–13-0.0422%9 Oct →
inferno10–13-0.014%8 Oct →
nuke10–130.0315%4 Oct →
ancient8–130.0216%4 Oct →
cache13–110.0918%3 Oct →
cache14–16-0.0114%2 Oct →
anubis9–130.0312%2 Oct →
dust212–16-0.0216%1 Oct →
dust24–130.0212%1 Oct →
anubis13–110.0426%30 Sept →
ancient6–130.0218%30 Sept →
nuke10–130.0021%29 Sept →
anubis13–90.1118%28 Sept →
cache3–13-0.0317%14 Sept →
anubis9–13-0.0418%3 Jul →
cache7–13-0.0221%20 Jun →
cache11–130.0220%3 Jun →
cache5–13-0.0920%3 Jun →
overpass8–130.0416%3 Jun →
inferno13–10-0.0018%2 Jun →
cache7–13-0.0126%28 May →
overpass10–13-0.0315%28 May →
cache2–8-0.0436%28 May →
cache13–30.0580%28 May →
cache13–100.0538%27 May →
cache13–70.0716%26 May →
cache9–130.0124%26 May →
cache13–10-0.0446%26 May →
cache12–12-0.0414%25 May →
cache4–13-0.0514%25 May →
cache13–110.0630%24 May →
cache10–130.0533%24 May →
cache5–130.0032%24 May →
inferno16–14-0.0021%24 May →
cache13–20.0533%24 May →
cache5–13-0.099%23 May →
cache5–13-0.0222%23 May →
cache0–13-0.0127%23 May →
cache7–130.1141%22 May →
cache13–30.0438%22 May →
cache13–40.0413%21 May →
cache2–6-0.0421%21 May →
cache13–6-0.0432%21 May →
cache13–20.0624%21 May →
cache6–13-0.0621%21 May →
mirage8–130.0825%14 May →
cache10–130.0432%14 May →
cache7–13-0.0222%14 May →
mirage16–140.0234%14 May →
cache6–130.0019%13 May →
cache11–13-0.0325%13 May →
cache13–10-0.0214%12 May →
cache13–80.0115%12 May →
cache11–130.1229%12 May →
cache4–130.0327%12 May →
nuke2–9-0.1423%12 May →
inferno6–9-0.0333%12 May →
nuke16–130.0930%11 May →
mirage13–110.0531%11 May →
cache13–11-0.0617%11 May →
inferno3–13-0.0933%11 May →
mirage11–130.0018%7 May →
anubis3–13-0.0322%6 May →
cache8–10.008%6 May →
cache12–120.0216%6 May →
cache6–13-0.0120%6 May →
cache13–90.1032%6 May →
cache9–130.0318%5 May →
cache4–130.0416%5 May →
nuke8–130.0220%28 Apr →
ancient13–80.0425%28 Apr →
nuke9–13-0.0333%27 Apr →
ancient7–13-0.0232%23 Apr →
inferno13–80.0628%23 Apr →
ancient16–140.0419%23 Apr →
mirage9–130.0226%22 Apr →
nuke11–130.0316%19 Apr →

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 →

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