Anne_Flank:)

Anne_Flank:) — CS2 Stats

FI76561198983230991[U:1:1022965263]Steam profile ↗✓ No bans

1,072Tracked matches48%Win rate2022Tracked since
676Hours in CS
CSDB Rating5.1 DevelopingSupport
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 11,507 -3,886 20 Apr – 6 Jul · 5 days played
11,50715,739peak 15,73920 Apr6 Jul
15,739Peak Premier in tracked matches
32Days played since 2026-04-20

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

Performance scores

Aim60
Positioning41
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43–48–9Last 10043%Win rateWWWLWWLLLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +2.4pp headshot accuracy · +74ms reaction

Win rate 0pp 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 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 695ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 688ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 651ms

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 (+2.1 against its own average).

Aim6.0
Utility5.8
Positioning4.1
Opening Duels0.5
Clutch4.6

Strong CT-side opener

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 84% 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

T-side openings. Opening success drops from 41% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Aim6.0
Positioning4.1
Utility5.8
Mechanics6.7
Opening Duels1.4
Win Impact4.4

Composite 5.1/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time621ms−36ms
first ⅓ avg 656ms → last ⅓ avg 621ms
Headshot accuracy15.8%+1.5%
first ⅓ avg 14.3% → last ⅓ avg 15.8%

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

0.23Best match rating · 9–1 · inferno, 5 Oct →
37%Best headshot accuracy · 9–4 · nuke, 20 Apr →
422msFastest reaction time · 13–6 · ancient, 7 Sept →
13–0Biggest win · cache, 25 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
5–4In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 50% over 22infernoWeakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
cacheB2211–1150%-0.01
infernoD185–1328%0.01
nukeC187–1139%-0.01
ancientB136–746%-0.04
mirageC104–640%-0.03
dust2B84–450%-0.00
vertigo—31–233%-0.05
anubis—32–167%-0.02
train—31–233%-0.01
overpass—22–0100%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,179Lifetime kills
0.92K/D
2,290Matches
46.4%Match win rate · Top 50% of tracked players
44.4%Headshot % · Top 50% of tracked players
6.6%Shot accuracy
5,614MVPs
676Hours (in match)
2,425Bombs planted
401Bombs defused

Most-used weapons

Lifetime map wins

3,278inferno
2,261nuke
2,231dust2
1,267train
1,132vertigo
448lake
50office
32cbble

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

Faceit stats

Combat

15Matches
60%Win rate
1.23Avg K/D
76.4ADR
40%Headshot %

Clutches & streaks

43%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage450%0.9610.3
Ancient450%0.8213.8
Nuke2100%2.5114.5
Dust22100%1.7417.5
Cache10%0.8814.0
Inferno10%0.7014.0
Anubis1100%1.2117.0

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.

15.3%Headshot accuracy
32.0%Accuracy (enemy spotted)
36.9%Spray accuracy
80.2%Counter-strafing
9.6°Preaim
618msReaction time
20.5%T opening success
41.3%CT opening success
0.53Enemies flashed / flash
7.8%Flash assists
10.91HE damage / grenade
9.16Flashes / 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 20.5257% — below the 40% mark we flag

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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–50.0522%5 Oct →
mirage13–7-0.0615%5 Oct →
inferno9–10.2317%5 Oct →
cache6–13-0.056%3 Oct →
vertigo13–7-0.0819%3 Oct →
mirage13–70.0315%3 Oct →
dust22–13-0.0229%2 Oct →
cache6–13-0.0636%2 Oct →
nuke6–130.0312%26 Sept →
inferno9–13-0.0813%26 Sept →
mirage6–13-0.0916%26 Sept →
ancient13–5-0.0719%26 Sept →
anubis13–11-0.0116%26 Sept →
overpass13–10-0.0612%26 Sept →
cache13–3-0.0021%26 Sept →
nuke9–13-0.0715%25 Sept →
mirage7–13-0.0517%23 Sept →
nuke7–130.0617%23 Sept →
inferno8–8-0.0217%23 Sept →
dust213–8-0.0010%7 Sept →
ancient13–6-0.0113%7 Sept →
nuke9–30.1018%7 Sept →
nuke13–30.049%31 Aug →
dust213–160.0313%31 Aug →
inferno3–90.086%31 Aug →
cache12–12-0.0413%28 Aug →
inferno6–9-0.0819%26 Aug →
overpass13–11-0.0019%25 Aug →
inferno5–13-0.058%25 Aug →
train13–5-0.0527%25 Aug →
nuke10–13-0.0520%25 Aug →
ancient3–13-0.096%25 Aug →
ancient11–13-0.057%25 Aug →
mirage11–13-0.0510%20 Aug →
dust216–13-0.0412%20 Aug →
ancient8–130.0322%20 Aug →
vertigo10–13-0.0615%11 Aug →
nuke10–13-0.1110%11 Aug →
ancient6–13-0.0220%11 Aug →
anubis13–30.1118%11 Aug →
inferno9–20.2117%11 Aug →
mirage12–12-0.0117%6 Aug →
cache13–10-0.0618%6 Aug →
train12–120.0317%6 Aug →
inferno8–13-0.0819%23 Jul →
nuke9–13-0.0410%23 Jul →
ancient13–11-0.0514%23 Jul →
mirage12–12-0.0516%23 Jul →
ancient13–10-0.0513%10 Jul →
ancient7–13-0.0915%10 Jul →
inferno9–13-0.0311%10 Jul →
inferno2–90.000%10 Jul →
dust213–70.0015%6 Jul →
nuke13–4-0.0216%6 Jul →
ancient13–5-0.0023%3 Jul →
ancient6–13-0.0326%2 Jul →
cache9–13-0.0511%2 Jul →
nuke5–13-0.0513%2 Jul →
inferno9–20.0610%2 Jul →
dust28–13-0.0518%2 Jul →
dust212–12-0.0020%30 Jun →
cache12–120.0312%30 Jun →
cache6–13-0.0916%30 Jun →
mirage6–13-0.088%30 Jun →
cache13–00.048%25 Jun →
cache13–00.0924%11 Jun →
cache10–13-0.0714%11 Jun →
cache8–13-0.0228%9 May →
cache13–11-0.0813%9 May →
cache13–60.0319%9 May →
cache0–13-0.0911%9 May →
cache13–10-0.0313%8 May →
cache13–10.2117%8 May →
cache13–1-0.0122%6 May →
cache13–100.0216%6 May →
cache7–13-0.0311%29 Apr →
cache13–30.0019%29 Apr →
cache9–13-0.047%29 Apr →
train10–130.0010%28 Apr →
dust213–60.0715%28 Apr →
inferno3–9-0.0917%28 Apr →
anubis3–13-0.150%26 Apr →
nuke2–13-0.0921%26 Apr →
ancient13–5-0.0617%23 Apr →
inferno13–8-0.0312%23 Apr →
inferno8–8-0.0216%23 Apr →
inferno2–13-0.0610%22 Apr →
ancient6–13-0.020%22 Apr →
nuke2–9-0.013%22 Apr →
inferno9–20.0311%22 Apr →
inferno7–90.0713%21 Apr →
nuke9–50.0417%21 Apr →
nuke13–5-0.0212%20 Apr →
nuke2–13-0.0414%20 Apr →
nuke13–8-0.0416%20 Apr →
inferno8–80.0515%20 Apr →
nuke9–40.0137%20 Apr →
nuke7–90.029%20 Apr →
vertigo10–13-0.0215%20 Apr →
mirage13–11-0.0418%20 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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