Annie Lööf

Annie Lööf — CS2 Stats

SE76561198031730186[U:1:71464458]Steam profile ↗✓ No bans

396Tracked matches44%Win rate2021Tracked since
2,574Hours in CS7Hrs last 2 wks
CSDB Rating3.9 LearningSupport
Premier CS Rating12,265Blue band · top ~42.9% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 396 tracked matches. Play, then come back: the next observation lands here.

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. 39 days played since 9 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 12,265 -1,684 9 Jun23 Sept · 25 days played
12,26516,213peak 16,2139 Jun23 Sept
16,213Peak Premier in tracked matches
39Days played since 2026-06-09

Premier CS Rating

  • 3,948 below peak (16,213)
  • -581 over 30 days · declining
  • -2,734 over 90 days
  • Next: Purple band at 15,000 2,735 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-23
  • Light Blue band first seen 2026-09-23

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate49.9%41.9%44.3%above
Shot accuracy12.5%9.6%11.8%above
Kill/death ratio0.910.981.030.12 short
Match win rate41.0%43.8%45.2%4.2% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAnnie LööfPREMIER12,265 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning41
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY45505Last 10045%Win rateLTWWLWLLWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · −5.8pp headshot accuracy · −1ms reaction

Win rate up 20pp 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

  • 221 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 600ms

Last 10

  • 541 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 591ms

Last 20

  • 8102 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 591ms

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: SupportUtility contribution stands above the rest of this profile (+3.5 against its own average).

Aim4.2
Utility6.6
Positioning4.1
Opening Duels1.6
Clutch0.0

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

device

Plays most like device 66% 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

Reaction time. 610ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim4.2
Positioning4.1
Utility6.6
Mechanics4.0
Opening Duels1.3
Win Impact3.1

Composite 3.9/10 (Learning), 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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time603ms−69ms
first ⅓ avg 672ms → last ⅓ avg 603ms
Headshot accuracy13.7%−4.4%
first ⅓ avg 18.1% → 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

0.08Best match rating · 13–5 · cache, 14 Aug
38%Best headshot accuracy · 3–13 · cache, 9 Sept
469msFastest reaction time · 13–11 · mirage, 31 Aug
13–1Biggest win · mirage, 15 Jul

Across the last 100 tracked matches.

Highlights

5Longest win streak
95In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 50% over 6dust2Weakest map · 38% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB29131645%-0.04
infernoC2081240%-0.04
dust2C1661038%-0.04
cacheC125742%0.01
ancientC73443%-0.03
nukeB63350%-0.05
anubis440100%0.01
overpass32167%-0.02
italy110100%-0.05
office1010%-0.05
shelter1010%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

78,151Lifetime kills
0.91K/D
3,353Matches
41.0%Match win rate
49.9%Headshot % · Top 25% of Blue band
12.5%Shot accuracy · Top 50% of Blue band
6,933MVPs
1,392Hours (in match)
1,889Bombs planted
988Bombs defused

Most-used weapons

AK-4721,536
AWP10,181
Negev2,874
SSG 082,314
P2502,173

Lifetime map wins

5,834dust2
3,619inferno
1,554nuke
1,056train
411cbble
307vertigo
282office
100lake

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

Faceit stats

Combat

31Matches
45%Win rate
1.03Avg K/D
56.9ADR
44%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWL

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.

15.1%Headshot accuracy
31.9%Accuracy (enemy spotted)
34.5%Spray accuracy
68.0%Counter-strafing
11.8°Preaim
610msReaction time
27.9%T opening success
40.0%CT opening success
0.58Enemies flashed / flash
6.8%Flash assists
11.23HE damage / grenade
14.38Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 27.8781% — below the 40% mark we flag

Spend your practice time on Dust 2

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 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.0411%16 Sept
mirage15–15-0.0510%15 Sept
cache13–100.0420%11 Sept
italy13–8-0.0511%11 Sept
inferno4–9-0.075%10 Sept
inferno9–70.036%10 Sept
inferno6–9-0.0122%10 Sept
mirage14–160.0015%10 Sept
inferno9–40.079%10 Sept
inferno9–7-0.173%10 Sept
mirage13–50.0013%10 Sept
cache15–15-0.025%9 Sept
office9–13-0.0531%9 Sept
cache4–130.003%9 Sept
dust26–13-0.0416%9 Sept
cache3–13-0.0838%9 Sept
inferno13–11-0.0512%2 Sept
inferno7–13-0.0320%2 Sept
mirage13–11-0.0219%31 Aug
inferno9–13-0.0315%31 Aug
ancient4–130.0116%31 Aug
mirage15–15-0.069%30 Aug
dust216–12-0.0111%29 Aug
inferno13–100.0119%29 Aug
mirage8–13-0.0612%29 Aug
inferno9–13-0.0314%29 Aug
mirage7–13-0.0111%29 Aug
dust24–13-0.0818%27 Aug
inferno13–90.0015%27 Aug
cache6–40.0711%27 Aug
nuke13–11-0.058%24 Aug
nuke13–80.0115%24 Aug
inferno5–13-0.0410%24 Aug
dust211–130.0123%20 Aug
mirage13–30.0438%20 Aug
dust29–13-0.0815%20 Aug
nuke1–13-0.0915%18 Aug
dust213–70.0717%18 Aug
ancient13–6-0.043%18 Aug
mirage10–130.039%14 Aug
cache13–50.0813%14 Aug
cache7–130.0321%14 Aug
mirage13–11-0.0112%14 Aug
dust213–16-0.0116%13 Aug
dust213–30.0017%13 Aug
inferno2–13-0.0512%3 Aug
dust27–13-0.0613%3 Aug
mirage5–13-0.0823%31 Jul
anubis13–5-0.0613%31 Jul
cache11–130.0320%31 Jul
dust26–13-0.0536%30 Jul
mirage8–13-0.0531%30 Jul
inferno10–13-0.0223%30 Jul
mirage13–8-0.069%30 Jul
inferno7–13-0.0714%26 Jul
dust28–13-0.0815%26 Jul
mirage8–13-0.0813%26 Jul
mirage10–13-0.1014%25 Jul
anubis13–80.026%25 Jul
overpass13–9-0.0424%22 Jul
mirage4–13-0.1113%21 Jul
mirage16–13-0.0410%18 Jul
nuke4–13-0.0824%18 Jul
anubis16–12-0.0012%18 Jul
anubis13–80.0612%18 Jul
mirage8–13-0.0730%18 Jul
cache5–13-0.0613%17 Jul
ancient6–13-0.0414%16 Jul
shelter7–130.068%16 Jul
dust213–9-0.1025%16 Jul
dust213–16-0.0834%16 Jul
mirage3–13-0.0130%15 Jul
mirage13–1-0.0224%15 Jul
dust213–40.0124%4 Jul
mirage13–9-0.0335%2 Jul
cache13–10.0726%1 Jul
inferno13–9-0.0626%1 Jul
cache13–16-0.0416%1 Jul
mirage15–15-0.0424%29 Jun
overpass13–8-0.0111%29 Jun
nuke13–8-0.0326%26 Jun
ancient13–8-0.0217%24 Jun
inferno1–13-0.094%24 Jun
mirage13–10-0.0322%23 Jun
dust213–5-0.0213%23 Jun
inferno6–13-0.1112%17 Jun
ancient13–6-0.0710%17 Jun
mirage13–11-0.0216%15 Jun
mirage9–13-0.0616%12 Jun
cache13–7-0.0411%12 Jun
inferno3–130.0217%11 Jun
overpass7–13-0.0114%11 Jun
ancient15–15-0.0623%11 Jun
mirage13–1-0.006%10 Jun
mirage13–10-0.0112%10 Jun
inferno9–4-0.0320%10 Jun
mirage9–13-0.089%10 Jun
ancient14–16-0.0214%10 Jun
mirage13–11-0.0222%10 Jun
dust214–16-0.0718%9 Jun

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →