freko — CS2 Stats

76561197995854764[U:1:35589036]Steam profile ↗✓ No bans

1,700Tracked matches40%Win rate2020Tracked since

CSDB Rating5.8 SolidAggressive Rifler

FaceitLevel 10 · 2,261 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim83

Positioning59

Utility49

0–100 skill scores via Leetify.

Recent form

STEADY51–49Last 10051%Win rateLLLWLWLWWW

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

Player DNA

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

Aim8.3

Aggression6.9

Utility4.9

Positioning5.9

Opening Duels3.0

Clutch4.0

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.

Your pro match

Plays most like b1t 93% 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

Areas to improve

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

T-side openings. Opening success drops from 51% on CT to 33% 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

Aim8.3

Positioning5.9

Utility4.9

Mechanics5.9

Opening Duels3.0

Win Impact1.7

Composite 5.8/10 (Solid), 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 rating0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg 0.00

Reaction time431ms−73ms

first ⅓ avg 505ms → last ⅓ avg 431ms

Headshot accuracy23.2%−0.9%

first ⅓ avg 24.1% → last ⅓ avg 23.2%

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

0.12Best rating — cache 13–5

13–2Biggest win — ancient

10Longest win streak

L3Current streak

12–9In matches decided by ≤2 rounds

17Overtime games

Map breakdown

ancientBest map · 61% over 18anubisWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	29	15–14	52%	-0.00
ancient	A	18	11–7	61%	0.02
inferno	B	17	9–8	53%	0.01
cache	B	14	7–7	50%	0.02
dust2	A	14	8–6	57%	0.02
anubis	D	7	1–6	14%	-0.04
nuke	—	1	0–1	0%	0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,175Matches

53%Win rate

1.16Avg K/D

76.2ADR

49%Headshot %

Clutches & streaks

40%1v1 clutch win

19%1v2 clutch win

11Longest win streak

Recent Faceit resultsWLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	76	42%	1.00	14.5
Anubis	75	55%	1.11	15.9
Ancient	67	51%	1.13	16.3
Inferno	56	71%	1.26	16.1
Dust2	27	48%	1.10	17.2
Overpass	14	79%	1.25	17.1
Cache	9	44%	1.04	16.7
Vertigo	7	43%	1.08	13.7

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.

22.3%Headshot accuracy

32.5%Accuracy (enemy spotted)

33.3%Spray accuracy

76.4%Counter-strafing

8.3°Preaim

432msReaction time

33.1%T opening success

50.9%CT opening success

0.42Enemies flashed / flash

5.1%Flash assists

8.67HE damage / grenade

7.61Flashes / 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.

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 0.4208 — below the 0.5 mark we flag
Grenade Lineups →
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 33.0969% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
mirage	11–13	-0.04	10%	22 Aug →
mirage	14–16	-0.03	16%	22 Aug →
ancient	13–16	0.01	17%	19 Aug →
mirage	13–11	0.08	24%	19 Aug →
cache	3–13	-0.04	15%	18 Aug →
mirage	13–6	0.06	25%	18 Aug →
mirage	11–13	0.03	24%	18 Aug →
mirage	13–11	0.01	23%	17 Aug →
cache	13–5	0.09	31%	17 Aug →
anubis	13–7	0.03	28%	17 Aug →
inferno	8–13	0.01	28%	17 Aug →
mirage	8–13	-0.04	24%	17 Aug →
inferno	13–8	-0.01	15%	17 Aug →
cache	19–16	-0.05	29%	16 Aug →
inferno	13–7	0.05	19%	16 Aug →
anubis	10–13	-0.02	14%	15 Aug →
ancient	10–13	0.03	28%	15 Aug →
anubis	5–13	-0.08	22%	15 Aug →
dust2	11–13	-0.02	28%	15 Aug →
inferno	16–13	-0.01	23%	15 Aug →
mirage	2–13	-0.02	21%	15 Aug →
cache	9–13	-0.03	23%	15 Aug →
ancient	13–8	0.04	21%	15 Aug →
inferno	9–13	-0.03	25%	14 Aug →
dust2	7–13	0.01	29%	14 Aug →
mirage	13–11	0.05	14%	14 Aug →
mirage	16–13	-0.02	29%	13 Aug →
ancient	10–13	-0.01	23%	12 Aug →
anubis	5–13	-0.09	36%	12 Aug →
mirage	20–22	0.01	16%	11 Aug →
dust2	13–6	0.02	29%	11 Aug →
dust2	13–11	0.04	40%	11 Aug →
mirage	16–13	0.04	19%	10 Aug →
inferno	8–13	-0.00	27%	10 Aug →
mirage	5–13	-0.01	35%	10 Aug →
ancient	13–9	0.09	22%	10 Aug →
cache	6–13	-0.01	16%	9 Aug →
inferno	16–13	0.01	15%	9 Aug →
mirage	9–13	-0.03	19%	9 Aug →
ancient	19–16	0.08	25%	9 Aug →
dust2	13–5	0.01	29%	9 Aug →
mirage	13–8	-0.01	31%	9 Aug →
cache	12–16	-0.05	21%	8 Aug →
mirage	4–13	0.01	23%	8 Aug →
cache	7–13	-0.03	34%	8 Aug →
ancient	10–13	-0.05	9%	8 Aug →
cache	7–13	-0.02	14%	8 Aug →
mirage	16–13	-0.02	9%	8 Aug →
ancient	13–2	0.07	21%	8 Aug →
ancient	6–13	-0.01	13%	8 Aug →
dust2	13–6	-0.01	13%	8 Aug →
mirage	6–13	-0.05	8%	8 Aug →
dust2	13–10	0.05	42%	8 Aug →
mirage	7–13	0.04	28%	8 Aug →
inferno	13–11	0.02	29%	8 Aug →
anubis	6–13	-0.07	18%	7 Aug →
mirage	13–11	-0.02	15%	7 Aug →
inferno	3–13	-0.05	11%	7 Aug →
mirage	9–13	-0.04	14%	7 Aug →
dust2	13–4	0.09	20%	7 Aug →
dust2	11–13	-0.02	33%	7 Aug →
anubis	5–13	-0.04	15%	6 Aug →
inferno	8–13	0.10	28%	6 Aug →
ancient	13–10	0.03	16%	6 Aug →
mirage	13–11	-0.04	22%	6 Aug →
mirage	13–9	0.01	16%	6 Aug →
dust2	6–13	-0.05	25%	4 Aug →
inferno	13–11	-0.02	25%	4 Aug →
cache	8–13	0.00	25%	3 Aug →
inferno	13–7	0.04	38%	3 Aug →
ancient	13–10	0.05	20%	3 Aug →
ancient	22–18	0.03	19%	3 Aug →
mirage	6–13	0.01	25%	2 Aug →
mirage	11–13	-0.01	23%	1 Aug →
dust2	6–13	0.00	20%	1 Aug →
dust2	16–13	0.09	27%	1 Aug →
cache	13–8	0.08	20%	1 Aug →
mirage	13–10	0.00	20%	1 Aug →
mirage	13–5	-0.01	28%	31 Jul →
dust2	14–16	0.03	25%	31 Jul →
inferno	13–7	0.03	33%	31 Jul →
inferno	16–14	0.02	31%	30 Jul →
ancient	13–6	0.00	30%	30 Jul →
inferno	11–13	-0.01	18%	30 Jul →
dust2	13–11	0.01	42%	30 Jul →
mirage	13–10	0.01	28%	30 Jul →
mirage	13–11	-0.07	23%	3 Jun →
ancient	13–8	-0.01	16%	3 Jun →
cache	16–12	0.05	38%	5 May →
ancient	13–2	-0.01	23%	29 Apr →
cache	3–3	0.09	21%	29 Apr →
cache	13–8	0.01	22%	29 Apr →
cache	13–5	0.12	21%	27 Apr →
ancient	13–3	-0.02	38%	25 Apr →
ancient	8–13	0.03	25%	19 Apr →
ancient	13–16	-0.00	16%	19 Apr →
inferno	10–13	-0.02	9%	19 Apr →
anubis	10–13	0.01	13%	14 Apr →
inferno	7–13	0.02	12%	13 Apr →
nuke	7–13	0.02	21%	12 Apr →