fREDDyØde — CS2 Stats

DE76561198119909984[U:1:159644256]Steam profile ↗✓ No bans

2,926Tracked matches60%Win rate2020Tracked since

7,032Hours in CS40Hrs last 2 wks

CSDB Rating7.3 StrongAggressive Rifler

Premier CS Rating24,711Top 25% of 29,473 CSDB-tracked playersPink band · top ~3.3% of ranked players (population est.)

CSDB Leaderboard#5939 of 41620 tracked

FaceitLevel 10 · 2,498 ELOTop 12.4% of ranked FACEIT players

WingmanLegendary Eagle

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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.

Metric	This player	Level 10 median
Headshot rate	42.4%	51.9%
Shot accuracy	12.5%	13.7%
Kill/death ratio	1.18	1.08
Match win rate	45.1%	48.7%

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Performance scores

Aim91

Positioning59

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY51–46–3Last 10051%Win rateWWWLLWLLWL

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim9.1

Aggression9.6

Utility6.3

Positioning5.9

Opening Duels4.2

Clutch3.6

Sharp aimerStrong 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.

Your pro match

Plays most like device 97% playstyle similarity

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

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

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 59% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.1

Positioning5.9

Utility6.3

Mechanics6.9

Opening Duels4.2

Win Impact8.3

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.03 → last ⅓ avg 0.04

Reaction time451ms−70ms

first ⅓ avg 521ms → last ⅓ avg 451ms

Headshot accuracy18.7%−2.3%

first ⅓ avg 21.0% → last ⅓ avg 18.7%

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.

Highlights

0.22Best rating — nuke 13–7

13–1Biggest win — dust2

8Longest win streak

W3Current streak

8–5In matches decided by ≤2 rounds

9Overtime games

Map breakdown

anubisBest map · 67% over 18infernoWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
ancient	B	27	14–13	52%	0.03
nuke	B	18	9–9	50%	0.05
cache	A	18	10–8	56%	0.02
anubis	S	18	12–6	67%	0.06
inferno	D	9	3–6	33%	0.01
mirage	—	3	0–3	0%	0.03
dust2	—	2	1–1	50%	0.03
debris	—	1	0–1	0%	-0.05
eldorado	—	1	0–1	0%	-0.05
shelter	—	1	0–1	0%	0.01
overpass	—	1	1–0	100%	0.07
aim_redline_faceit	—	1	1–0	100%	0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

214,877Lifetime kills

1.18K/D · Top 50% of Level 10 players

9,268Matches

45.1%Match win rate

42.4%Headshot %

12.5%Shot accuracy

30,670MVPs

4,066Hours (in match)

9,383Bombs planted

4,591Bombs defused

Most-used weapons

AK-4773,879

AWP37,557

M4A4 / M4A1-S30,474

P2000 / USP-S13,924

Desert Eagle8,558

P2507,457

Glock-186,791

Tec-94,734

Knife3,977

SSG 083,601

Lifetime map wins

7,055inferno

5,826nuke

4,386train

4,235dust2

2,608cbble

2,145vertigo

244office

173assault

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

Faceit stats

Combat

1,997Matches

51%Win rate

1.37Avg K/D

95.5ADR

39%Headshot %

Clutches & streaks

38%1v1 clutch win

28%1v2 clutch win

15Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	516	53%	1.40	19.3
Anubis	370	55%	1.46	20.7
Nuke	207	50%	1.37	19.6
Mirage	179	45%	1.35	19.4
Overpass	123	51%	1.42	19.6
Inferno	88	52%	1.30	17.7
Train	86	43%	1.46	20.4
Dust2	59	39%	1.14	17.1

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.

19.1%Headshot accuracy

39.2%Accuracy (enemy spotted)

44.7%Spray accuracy

80.9%Counter-strafing

8.4°Preaim

455msReaction time

35.0%T opening success

58.9%CT opening success

0.59Enemies flashed / flash

11.2%Flash assists

8.93HE damage / grenade

6.49Flashes / 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.

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 35.0139% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	13–10	-0.02	15%	29 Aug →
cache	13–5	0.08	29%	26 Aug →
nuke	13–7	0.09	11%	26 Aug →
mirage	7–13	0.02	25%	26 Aug →
ancient	10–13	-0.08	10%	24 Aug →
anubis	13–9	0.09	13%	24 Aug →
anubis	8–13	0.09	18%	24 Aug →
cache	3–13	-0.08	8%	23 Aug →
ancient	13–6	-0.00	13%	23 Aug →
inferno	7–13	-0.06	21%	23 Aug →
ancient	6–13	-0.03	21%	23 Aug →
cache	13–7	0.13	16%	23 Aug →
ancient	13–6	0.15	13%	22 Aug →
ancient	16–13	-0.03	19%	22 Aug →
cache	13–5	0.01	12%	22 Aug →
dust2	13–1	0.05	28%	22 Aug →
inferno	6–13	-0.04	7%	22 Aug →
cache	6–13	0.03	26%	18 Aug →
ancient	13–5	0.06	18%	18 Aug →
ancient	13–1	0.11	38%	18 Aug →
ancient	9–13	-0.04	14%	18 Aug →
nuke	11–13	0.04	31%	18 Aug →
ancient	13–6	0.15	16%	17 Aug →
nuke	13–7	0.22	24%	17 Aug →
inferno	1–13	-0.05	26%	16 Aug →
inferno	13–6	0.05	23%	16 Aug →
ancient	13–5	0.10	13%	16 Aug →
ancient	9–13	0.04	27%	15 Aug →
anubis	13–11	-0.05	19%	15 Aug →
anubis	13–3	0.22	25%	15 Aug →
inferno	10–13	0.01	6%	15 Aug →
ancient	10–13	0.03	17%	15 Aug →
ancient	8–13	-0.03	13%	15 Aug →
cache	7–13	-0.06	36%	12 Aug →
inferno	13–9	0.05	17%	12 Aug →
anubis	7–13	-0.00	19%	12 Aug →
mirage	9–13	0.04	27%	12 Aug →
nuke	10–13	0.04	30%	6 Aug →
ancient	9–13	0.01	21%	5 Aug →
anubis	13–7	0.08	23%	5 Aug →
debris	7–9	-0.05	31%	5 Aug →
eldorado	8–8	-0.05	57%	5 Aug →
cache	8–13	-0.03	10%	3 Aug →
anubis	5–13	0.08	22%	3 Aug →
nuke	9–13	-0.05	32%	29 Jul →
ancient	13–4	0.10	18%	29 Jul →
inferno	5–13	0.08	27%	29 Jul →
cache	13–5	0.06	11%	29 Jul →
nuke	9–13	-0.04	28%	28 Jul →
anubis	13–11	-0.02	27%	28 Jul →
anubis	13–2	0.17	12%	28 Jul →
nuke	14–16	-0.01	20%	26 Jul →
inferno	11–13	0.02	12%	26 Jul →
cache	13–5	0.06	22%	26 Jul →
nuke	13–11	-0.05	19%	26 Jul →
inferno	16–14	0.06	25%	26 Jul →
anubis	10–13	0.04	14%	25 Jul →
nuke	9–13	0.07	20%	25 Jul →
ancient	15–15	0.04	13%	25 Jul →
anubis	13–5	0.08	13%	25 Jul →
anubis	16–12	0.11	17%	25 Jul →
ancient	13–5	0.03	17%	25 Jul →
ancient	13–10	0.04	29%	19 Jul →
cache	13–2	0.03	28%	19 Jul →
nuke	13–10	0.02	15%	19 Jul →
anubis	13–2	0.07	33%	19 Jul →
nuke	13–2	0.06	22%	19 Jul →
nuke	5–13	0.04	19%	18 Jul →
ancient	8–13	0.05	21%	18 Jul →
ancient	13–11	0.01	15%	17 Jul →
cache	6–13	-0.03	17%	17 Jul →
cache	8–13	-0.03	19%	16 Jul →
anubis	13–7	0.06	33%	16 Jul →
ancient	13–5	-0.05	21%	16 Jul →
ancient	14–16	0.03	18%	16 Jul →
ancient	16–12	0.03	21%	15 Jul →
cache	13–11	-0.02	13%	15 Jul →
ancient	4–13	-0.02	13%	14 Jul →
ancient	8–13	0.03	28%	12 Jul →
anubis	13–10	0.09	14%	12 Jul →
nuke	13–7	0.10	23%	12 Jul →
nuke	13–10	0.02	18%	11 Jul →
cache	13–11	0.08	22%	11 Jul →
nuke	9–13	0.15	29%	11 Jul →
ancient	13–7	0.04	23%	11 Jul →
cache	5–13	-0.04	37%	10 Jul →
anubis	16–13	0.02	18%	10 Jul →
cache	10–13	-0.03	19%	10 Jul →
ancient	10–13	-0.01	17%	10 Jul →
cache	13–6	0.05	18%	10 Jul →
anubis	7–13	-0.01	12%	10 Jul →
cache	13–5	0.12	21%	9 Jul →
shelter	5–13	0.01	29%	9 Jul →
nuke	13–6	0.09	20%	7 Jul →
dust2	9–13	0.01	16%	5 Jul →
overpass	13–7	0.07	11%	5 Jul →
nuke	7–13	0.06	31%	5 Jul →
anubis	8–13	0.00	20%	5 Jul →
aim_redline_faceit	13–11	0.04	34%	5 Jul →
mirage	15–15	0.03	23%	4 Jul →