Farkum — CS2 Stats

US76561197989354773[U:1:29089045]Steam profile ↗

248Tracked matches41%Win rate2023Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Ladder ranks via Leetify

Performance scores

Aim80

Positioning58

Utility54

0–100 skill scores via Leetify.

Recent form

COLD42–55–3Last 10042%Win rateLLWLWLLWLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

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

Aim8.0

Aggression6.9

Utility5.4

Positioning5.8

Opening Duels3.7

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 iM 93% playstyle similarity

Most alike: opening-fight frequency, 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

Reaction time. 592ms 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

Aim8.0

Positioning5.8

Utility5.4

Mechanics8.3

Opening Duels3.7

Win Impact2.1

Composite 6.2/10 (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 rating0.01+0.01

first ⅓ avg 0.00 → last ⅓ avg 0.01

Reaction time587ms−40ms

first ⅓ avg 627ms → last ⅓ avg 587ms

Headshot accuracy16.8%−1.5%

first ⅓ avg 18.3% → last ⅓ avg 16.8%

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

0.16Best rating — dust2 13–9

13–1Biggest win — cache

7Longest win streak

L2Current streak

4–5In matches decided by ≤2 rounds

1Overtime games

Map breakdown

nukeBest map · 58% over 12mirageWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	19	7–12	37%	-0.00
ancient	D	13	4–9	31%	-0.01
anubis	C	13	5–8	38%	0.01
cache	B	13	7–6	54%	0.01
nuke	A	12	7–5	58%	0.01
mirage	D	11	3–8	27%	0.00
inferno	C	10	4–6	40%	0.00
train	C	5	2–3	40%	0.03
overpass	—	4	3–1	75%	0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.8%Headshot accuracy

39.1%Accuracy (enemy spotted)

40.1%Spray accuracy

87.4%Counter-strafing

10.0°Preaim

592msReaction time

41.2%T opening success

48.2%CT opening success

0.58Enemies flashed / flash

8.3%Flash assists

7.88HE damage / grenade

6.87Flashes / match

Recommended for you

Spend your practice time on Mirage

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	1–13	-0.05	14%	5 Aug →
ancient	8–13	-0.06	22%	4 Aug →
anubis	13–10	0.05	16%	4 Aug →
dust2	2–13	-0.05	10%	4 Aug →
nuke	13–11	0.01	18%	31 Jul →
cache	3–13	-0.07	7%	31 Jul →
anubis	10–13	-0.02	9%	31 Jul →
dust2	13–9	0.16	25%	29 Jul →
anubis	7–13	0.02	13%	29 Jul →
anubis	2–13	-0.03	14%	28 Jul →
nuke	13–7	0.04	26%	28 Jul →
ancient	15–15	0.05	24%	27 Jul →
dust2	10–13	-0.03	15%	24 Jul →
inferno	6–13	-0.00	14%	24 Jul →
cache	13–10	0.03	18%	24 Jul →
inferno	4–13	-0.06	24%	23 Jul →
cache	8–3	-0.01	15%	23 Jul →
dust2	13–6	0.02	29%	22 Jul →
nuke	13–8	0.01	10%	22 Jul →
inferno	5–13	0.01	12%	21 Jul →
dust2	13–4	0.09	20%	17 Jul →
mirage	4–13	-0.04	19%	17 Jul →
ancient	7–13	0.05	20%	16 Jul →
dust2	7–13	-0.06	11%	16 Jul →
inferno	9–13	-0.05	20%	15 Jul →
nuke	13–5	0.13	17%	15 Jul →
cache	13–1	0.05	14%	9 Jul →
anubis	13–2	0.06	4%	8 Jul →
dust2	5–13	0.03	14%	2 Jul →
mirage	6–13	0.05	18%	2 Jul →
nuke	4–13	0.04	18%	2 Jul →
dust2	7–13	-0.05	25%	30 Jun →
anubis	11–13	0.03	20%	30 Jun →
train	12–12	0.09	17%	30 Jun →
dust2	13–2	0.04	9%	29 Jun →
ancient	13–10	0.00	13%	29 Jun →
train	13–3	0.10	8%	29 Jun →
nuke	3–13	-0.17	15%	26 Jun →
mirage	0–13	-0.04	17%	26 Jun →
ancient	7–13	-0.03	9%	26 Jun →
dust2	7–13	-0.01	9%	26 Jun →
inferno	6–13	-0.02	12%	26 Jun →
nuke	13–8	0.01	26%	24 Jun →
anubis	11–13	0.01	23%	24 Jun →
train	10–13	0.01	20%	23 Jun →
anubis	13–9	0.06	19%	23 Jun →
nuke	13–11	0.00	23%	22 Jun →
cache	10–13	0.03	13%	16 Jun →
ancient	2–13	0.02	15%	16 Jun →
anubis	6–13	0.04	10%	16 Jun →
mirage	1–13	-0.02	16%	16 Jun →
dust2	2–13	-0.09	9%	16 Jun →
anubis	7–13	-0.05	15%	11 Jun →
train	13–10	-0.01	8%	10 Jun →
nuke	11–1	0.12	14%	10 Jun →
dust2	13–7	0.05	24%	9 Jun →
ancient	7–13	0.02	16%	9 Jun →
dust2	13–10	0.05	15%	5 Jun →
ancient	9–13	-0.05	16%	5 Jun →
cache	12–12	-0.03	16%	4 Jun →
inferno	13–6	0.03	15%	4 Jun →
dust2	7–13	-0.05	23%	2 Jun →
cache	13–11	0.01	15%	28 May →
ancient	4–13	-0.04	15%	28 May →
inferno	13–3	0.03	22%	27 May →
anubis	13–4	0.04	12%	27 May →
cache	11–13	0.01	19%	27 May →
mirage	13–4	-0.02	10%	26 May →
ancient	13–10	-0.03	18%	26 May →
dust2	8–13	0.02	30%	22 May →
ancient	13–7	0.00	24%	22 May →
train	10–13	-0.02	19%	14 May →
cache	11–13	0.09	20%	14 May →
mirage	13–8	0.02	15%	10 May →
ancient	13–1	0.01	18%	10 May →
cache	13–2	0.07	24%	10 May →
dust2	4–0	-0.01	22%	10 May →
overpass	13–10	0.04	21%	9 May →
cache	13–9	0.01	16%	9 May →
cache	13–8	-0.03	16%	30 Apr →
cache	4–13	-0.02	22%	30 Apr →
overpass	7–13	0.03	19%	23 Apr →
dust2	7–13	-0.05	27%	20 Apr →
mirage	2–13	-0.06	20%	20 Apr →
ancient	4–13	-0.03	23%	10 Apr →
mirage	9–13	0.10	19%	10 Apr →
mirage	4–13	0.06	30%	31 Mar →
anubis	8–13	-0.00	13%	27 Mar →
nuke	4–13	-0.07	16%	27 Mar →
nuke	6–13	0.03	12%	18 Mar →
inferno	12–5	-0.00	14%	18 Mar →
overpass	13–4	0.03	21%	17 Mar →
dust2	5–13	-0.10	13%	17 Mar →
dust2	8–13	-0.04	20%	13 Mar →
overpass	6–5	0.05	16%	13 Mar →
mirage	2–13	-0.02	10%	13 Mar →
nuke	11–13	0.00	18%	5 Mar →
anubis	13–10	-0.02	13%	4 Mar →
mirage	13–4	-0.04	8%	4 Mar →
inferno	13–9	0.13	18%	3 Mar →

Show all 100 matchesShow fewer

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 →

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