Freja Flødepat

Freja Flødepat — CS2 Stats

HM76561199495486791[U:1:1535221063]Steam profile ↗

331Tracked matches43%Win rate2023Tracked since
2,193Hours in CS3Hrs last 2 wks
CSDB Rating5.4 DevelopingHybrid Rifler
Premier CS Rating10,671Blue band · top ~51.3% of ranked players (population est.)
CSDB Leaderboard#31397 of 44234 tracked
FaceitLevel 5 · 1,421 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=1,660), 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 5 medianLevel 6 medianvs Level 6
Headshot rate43.0%44.0%44.7%1.7% short
Shot accuracy2.6%11.6%11.9%9.3% short
Kill/death ratio1.171.031.04above
Match win rate47.5%45.1%45.2%above

This profile matches the typical Level 6 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGFreja FlødepatFACEITLevel 5 · 1,421 ELOSTANDINGTop 67.6% of rankedPREMIER10,671 · Blue bandcsdb.gg/stats

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Performance scores

Aim65
Positioning60
Utility57

0–100 skill scores via Leetify.

Recent form

COLD44506Last 10044%Win rateLTLLWLLWLL

Last 10 vs previous 10: -20pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.5
Aggression9.2
Utility5.7
Positioning6.0
Opening Duels4.6
Clutch3.4

Strong CT-side openerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

sh1ro

Plays most like sh1ro 90% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

Strengths

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 57% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 649ms 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

Aim6.5
Positioning6.0
Utility5.7
Mechanics6.3
Opening Duels4.6
Win Impact2.6

Composite 5.4/10 (Developing), 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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time631ms−13ms
first ⅓ avg 644ms → last ⅓ avg 631ms
Headshot accuracy15.8%−6.0%
first ⅓ avg 21.8% → 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.

Highlights

0.21Best rating — inferno 9–2
132Biggest win — train
5Longest win streak
59In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 63% over 8cacheWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB29141548%0.03
nukeC156940%0.00
mirageB157847%0.04
dust2D93633%0.04
cacheD82625%0.03
ancientA85363%0.06
rooftopD62433%0.09
overpass42250%0.00
anubis32167%0.02
poseidon1010%-0.14
italy1010%0.06
train110100%0.06

Across the last 100 tracked matches.

Lifetime stats

51,566Lifetime kills
1.17K/D · Top 25% of Level 5 players
3,116Matches
47.5%Match win rate · Top 50% of Level 5 players
43.0%Headshot %
2.6%Shot accuracy
11,161MVPs
1,969Hours (in match)
3,603Bombs planted
1,425Bombs defused

Most-used weapons

AK-4716,866
AWP8,195
SSG 081,270
MP9746
Knife733

Lifetime map wins

4,984inferno
3,225dust2
3,201nuke
1,527vertigo
791train
306lake
196cbble
117italy

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

Faceit stats

Combat

215Matches
47%Win rate
1.24Avg K/D
89.3ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
30%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Nuke4751%1.3619.8
Mirage4652%1.2818.8
Inferno3450%1.2417.9
Ancient3330%1.1418.1
Overpass1856%1.2519.1
Dust21638%1.0216.1
Anubis1020%1.0515.7
Train967%1.4823.7

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
39.0%Accuracy (enemy spotted)
39.7%Spray accuracy
78.1%Counter-strafing
11.0°Preaim
649msReaction time
39.2%T opening success
57.3%CT opening success
0.79Enemies flashed / flash
9.5%Flash assists
6.07HE damage / grenade
9.24Flashes / 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 39.1609% — below the 40% mark we flag

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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
nuke0–9-0.2511%23 Jun
cache12–12-0.1011%9 May
cache7–13-0.0821%8 May
cache7–130.1018%7 May
cache9–10.0921%7 May
cache4–130.1612%6 May
cache1–5-0.0318%6 May
cache13–50.1125%1 May
cache4–130.0217%29 Apr
inferno7–9-0.0921%25 Apr
overpass13–90.0512%31 Mar
inferno13–90.0521%31 Mar
dust25–130.0127%26 Mar
inferno8–8-0.0724%25 Mar
inferno9–60.0910%22 Mar
inferno9–130.1116%17 Mar
dust214–160.0316%14 Mar
dust26–130.0213%14 Mar
inferno10–13-0.0313%14 Mar
inferno13–90.0212%14 Mar
ancient13–90.0211%14 Mar
ancient13–90.0511%14 Mar
ancient13–50.054%14 Mar
mirage0–13-0.079%13 Mar
anubis0–7-0.0333%11 Mar
ancient12–12-0.0114%11 Mar
dust213–110.1213%9 Mar
ancient6–130.1215%7 Mar
inferno5–9-0.1310%6 Mar
ancient13–60.1310%4 Mar
mirage9–130.0223%3 Mar
dust213–80.1213%28 Feb
mirage9–130.0213%25 Feb
nuke12–160.0420%24 Feb
mirage9–00.1236%24 Feb
nuke13–60.1625%24 Feb
ancient16–140.1524%22 Feb
mirage13–50.0619%7 Feb
nuke16–14-0.0412%5 Feb
nuke2–4-0.0533%4 Feb
nuke11–130.0925%1 Feb
poseidon2–9-0.1411%29 Jan
anubis13–70.1123%28 Jan
inferno0–9-0.1933%27 Jan
italy9–130.0620%27 Jan
anubis13–6-0.0322%15 Jan
inferno13–60.1311%7 Jan
nuke5–13-0.0210%7 Jan
nuke13–60.0333%7 Jan
inferno5–90.0917%6 Jan
mirage6–13-0.0017%2 Jan
dust214–160.0310%30 Dec
nuke8–130.0323%27 Dec
nuke13–8-0.0111%22 Dec
inferno7–9-0.0424%22 Dec
rooftop6–90.0126%20 Dec
mirage10–130.1916%18 Dec
inferno9–30.0724%17 Dec
inferno9–60.1917%17 Dec
rooftop3–90.098%9 Dec
dust212–12-0.0110%6 Dec
overpass13–110.0319%6 Dec
inferno9–10.2025%5 Dec
inferno4–9-0.0718%5 Dec
mirage13–110.0617%28 Nov
inferno9–20.2118%22 Nov
inferno2–9-0.0629%21 Nov
nuke8–13-0.0421%5 Nov
mirage10–13-0.0528%26 Oct
mirage13–8-0.0038%25 Oct
inferno13–9-0.0412%25 Oct
mirage13–100.1127%25 Oct
mirage13–10-0.0217%25 Oct
mirage9–130.0423%22 Oct
rooftop9–60.1819%19 Oct
inferno13–100.0813%18 Oct
nuke13–70.0715%13 Oct
rooftop9–60.1512%13 Oct
rooftop8–80.1318%11 Oct
dust213–30.0524%7 Oct
rooftop8–80.0018%7 Oct
nuke13–50.1419%28 Sept
inferno9–20.187%20 Sept
mirage11–130.0217%16 Sept
mirage13–40.0315%16 Sept
inferno2–9-0.0646%15 Sept
inferno9–13-0.079%15 Sept
dust28–130.0122%15 Sept
inferno9–60.0537%14 Sept
nuke11–13-0.0312%13 Sept
overpass7–13-0.075%13 Sept
overpass8–130.0110%11 Sept
train13–20.0622%1 Sept
inferno6–120.0328%12 Aug
inferno9–20.0975%11 Aug
inferno13–160.0124%9 Aug
nuke11–13-0.0617%6 Aug
ancient7–13-0.0230%5 Aug
inferno6–130.0518%5 Aug
inferno13–100.1424%5 Aug

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 →