AnnelinMoro

AnnelinMoro — CS2 Stats

FI76561198018177956[U:1:57912228]Steam profile ↗✓ No bans

1,149Tracked matches40%Win rate2020Tracked since
CSDB Rating5.0 DevelopingPositional Player
Premier CS Rating9,700Light Blue band · top ~56.3% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (6 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: 9,700 +422 27 May – 29 Oct · 16 days played
7,3179,700peak 9,70027 May29 Oct
9,999Peak Premier in tracked matches
40Days played since 2025-05-27

Premier CS Rating

  • At peak — 9,700
  • Next: Blue band at 10,000 — 300 to go
  • Reached: 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.GGAnnelinMoroFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER9,700 · Light Blue 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

Aim63
Positioning66
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY36–57–7Last 10036%Win rateWWWWLLWWLL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.4pp headshot accuracy · −97ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 647ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 618ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 666ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.3
Utility3.1
Positioning6.6
Opening Duels4.5
Clutch6.4

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 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 642ms 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

Aim6.3
Positioning6.6
Utility3.1
Mechanics7.7
Opening Duels5.3
Win Impact1.7

Composite 5.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.02
first ⅓ avg -0.02 → last ⅓ avg 0.00
Reaction time640ms−47ms
first ⅓ avg 688ms → last ⅓ avg 640ms
Headshot accuracy15.4%+1.4%
first ⅓ avg 14.0% → last ⅓ avg 15.4%

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

0.11Best match rating · 13–0 · dust2, 2 Oct →
32%Best headshot accuracy · 6–13 · inferno, 20 Oct →
484msFastest reaction time · 1–13 · mirage, 24 Oct →
13–0Biggest win · dust2, 2 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
7–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

cacheBest map · 67% over 9ancientWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
dust2D235–1822%0.01
nukeA2112–957%-0.02
infernoD134–931%-0.01
ancientD102–820%-0.02
mirageD92–722%-0.02
cacheS96–367%-0.01
anubisD62–433%-0.02
trainA53–260%0.02
vertigo—30–30%-0.07
overpass—10–10%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

46Matches
43%Win rate
0.82Avg K/D
65.5ADR
46%Headshot %

Clutches & streaks

52%1v1 clutch win
6%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2714%0.7111.6
Anubis540%0.6910.0
Nuke540%0.8714.8
Inferno540%0.7510.8
Ancient560%0.8712.8
Vertigo367%0.487.3
Mirage367%0.8012.3

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.

15.7%Headshot accuracy
33.8%Accuracy (enemy spotted)
35.5%Spray accuracy
84.7%Counter-strafing
9.7°Preaim
642msReaction time
54.3%T opening success
48.3%CT opening success
0.29Enemies flashed / flash
2.8%Flash assists
8.19HE damage / grenade
2.25Flashes / 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 0.2898 — below the 0.5 mark we flag

    Grenade Lineups →
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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–6-0.0318%29 Oct →
inferno13–70.0313%28 Oct →
mirage13–100.0422%24 Oct →
nuke13–100.0213%24 Oct →
dust210–13-0.0019%24 Oct →
mirage1–13-0.0112%24 Oct →
cache13–11-0.0325%24 Oct →
nuke13–90.0210%23 Oct →
dust211–13-0.0316%23 Oct →
inferno10–130.0018%23 Oct →
cache13–7-0.0212%23 Oct →
dust28–130.028%22 Oct →
nuke13–7-0.0313%22 Oct →
cache13–80.0014%21 Oct →
cache13–70.0513%20 Oct →
ancient13–110.0213%20 Oct →
inferno6–13-0.0732%20 Oct →
dust27–13-0.0019%20 Oct →
mirage9–130.026%19 Oct →
dust23–13-0.0214%19 Oct →
nuke9–13-0.016%15 Oct →
cache11–130.0421%15 Oct →
nuke5–13-0.0711%8 Oct →
inferno5–13-0.0713%8 Oct →
cache13–50.0719%8 Oct →
dust24–130.0427%5 Oct →
nuke9–13-0.0523%5 Oct →
cache7–13-0.0412%3 Oct →
ancient11–13-0.0311%3 Oct →
inferno10–130.0221%2 Oct →
dust213–00.1110%2 Oct →
dust211–130.0412%28 Sept →
mirage11–130.0117%28 Sept →
nuke15–15-0.0216%27 Sept →
anubis13–100.0319%26 Sept →
ancient5–13-0.0215%24 Sept →
cache12–12-0.0516%23 Sept →
nuke16–140.047%22 Sept →
dust29–130.0211%22 Sept →
cache13–9-0.0911%20 Sept →
inferno13–10-0.024%13 Dec →
nuke11–130.0011%13 Dec →
nuke11–13-0.0722%13 Dec →
nuke10–130.0323%12 Dec →
inferno12–12-0.008%12 Aug →
dust25–13-0.0214%12 Aug →
dust27–130.0316%1 Jul →
train11–130.0217%1 Jul →
mirage8–13-0.0212%27 Jun →
dust25–130.1022%27 Jun →
anubis9–130.0510%18 Jun →
dust211–130.0213%18 Jun →
nuke13–5-0.0316%15 Jun →
train13–7-0.0120%15 Jun →
anubis10–13-0.0020%15 Jun →
dust22–13-0.087%15 Jun →
ancient12–12-0.0417%13 Jun →
mirage1–13-0.1218%13 Jun →
mirage13–6-0.0316%13 Jun →
ancient10–13-0.0119%13 Jun →
train13–80.048%12 Jun →
vertigo12–120.0315%12 Jun →
ancient6–13-0.007%12 Jun →
dust213–110.0016%12 Jun →
dust25–13-0.0810%11 Jun →
nuke13–8-0.0413%11 Jun →
ancient10–13-0.027%11 Jun →
ancient13–4-0.0217%10 Jun →
nuke16–130.0213%10 Jun →
inferno1–9-0.0515%10 Jun →
inferno13–40.0923%10 Jun →
ancient7–13-0.045%9 Jun →
anubis6–13-0.1024%9 Jun →
dust25–13-0.0010%9 Jun →
dust213–20.0816%9 Jun →
nuke13–11-0.008%9 Jun →
inferno8–8-0.0515%9 Jun →
inferno5–13-0.0316%8 Jun →
vertigo6–13-0.0911%8 Jun →
nuke2–6-0.070%8 Jun →
inferno13–80.0514%5 Jun →
anubis6–13-0.0413%5 Jun →
dust29–13-0.0211%5 Jun →
vertigo2–9-0.1410%5 Jun →
nuke13–11-0.0114%4 Jun →
ancient6–13-0.0014%4 Jun →
dust28–13-0.0222%4 Jun →
nuke13–80.0420%3 Jun →
dust213–80.029%3 Jun →
overpass5–13-0.0126%2 Jun →
train9–13-0.0517%29 May →
anubis13–5-0.0222%29 May →
inferno10–13-0.037%29 May →
dust213–110.0511%29 May →
mirage4–13-0.0412%29 May →
nuke7–13-0.049%29 May →
dust212–12-0.0219%28 May →
nuke13–4-0.0515%28 May →
train13–80.0811%28 May →
mirage13–16-0.0315%27 May →

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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