Biktor — CS2 Stats

76561199416825589[U:1:1456559861]Steam profile ↗✓ No bans

568Tracked matches69%Win rate2022Tracked since

CSDB Rating5.9 SolidHybrid Rifler

Premier CS Rating20,004Top 50% of 29,473 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)

CSDB Leaderboard#16720 of 43212 tracked

FaceitLevel 6Top 54.0% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim75

Positioning47

Utility42

0–100 skill scores via Leetify.

Recent form

STEADY53–40–7Last 10053%Win rateLWWWLWLLWW

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

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.5

Aggression5.7

Utility4.2

Positioning4.7

Opening Duels2.3

Clutch3.8

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 NiKo 87% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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 27% 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

Aim7.5

Positioning4.7

Utility4.2

Mechanics5.0

Opening Duels2.6

Win Impact10.0

Composite 5.9/10 (Solid), 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 rating-0.00−0.02

first ⅓ avg 0.02 → last ⅓ avg -0.00

Reaction time544ms+7ms

first ⅓ avg 537ms → last ⅓ avg 544ms

Headshot accuracy17.4%−1.3%

first ⅓ avg 18.6% → last ⅓ avg 17.4%

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 — cache 13–1

13–1Biggest win — cache

8Longest win streak

11–8In matches decided by ≤2 rounds

14Overtime games

Map breakdown

ancientBest map · 67% over 15infernoWeakest map · 43% over 14

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	26	15–11	58%	0.02
nuke	B	19	10–9	53%	0.00
ancient	S	15	10–5	67%	0.01
anubis	B	14	7–7	50%	0.00
inferno	C	14	6–8	43%	-0.02
dust2	B	6	3–3	50%	0.01
overpass	—	4	1–3	25%	0.00
cache	—	1	1–0	100%	0.16
vertigo	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

116Matches

53%Win rate

1.24Avg K/D

89.4ADR

48%Headshot %

Clutches & streaks

39%1v1 clutch win

35%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	32	50%	1.10	14.4
Ancient	16	75%	1.83	19.4
Anubis	15	67%	1.21	18.7
Dust2	12	42%	1.02	18.8
Cache	8	38%	1.61	19.9
Inferno	5	40%	0.96	12.8
Vertigo	4	50%	1.38	18.8
Nuke	2	100%	1.94	19.5

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.

17.6%Headshot accuracy

34.9%Accuracy (enemy spotted)

42.6%Spray accuracy

72.3%Counter-strafing

8.6°Preaim

550msReaction time

27.5%T opening success

50.9%CT opening success

0.51Enemies flashed / flash

4.4%Flash assists

4.44HE damage / grenade

10.87Flashes / 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 27.4511% — 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.

43% win rate across 14 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	1–13	-0.16	14%	28 Aug →
ancient	13–5	0.01	13%	24 Aug →
anubis	13–7	-0.01	17%	24 Aug →
ancient	13–10	-0.06	23%	23 Aug →
dust2	3–13	0.06	29%	20 Aug →
mirage	8–0	0.12	19%	19 Aug →
anubis	13–16	-0.02	16%	18 Aug →
mirage	6–13	0.04	25%	18 Aug →
anubis	13–5	-0.06	10%	17 Aug →
anubis	13–8	-0.01	20%	14 Aug →
mirage	13–6	-0.01	10%	14 Aug →
mirage	4–13	-0.03	21%	13 Aug →
dust2	13–8	-0.05	19%	13 Aug →
anubis	9–13	-0.01	24%	9 Aug →
inferno	16–12	0.02	16%	8 Aug →
inferno	13–2	-0.01	23%	5 Aug →
ancient	4–13	-0.01	30%	3 Aug →
ancient	15–15	0.02	18%	2 Aug →
mirage	13–3	0.02	16%	31 Jul →
anubis	14–16	0.02	19%	30 Jul →
dust2	13–8	0.05	15%	7 Jul →
mirage	13–3	0.05	29%	7 Jul →
mirage	13–11	0.05	24%	3 Jul →
nuke	13–9	-0.04	8%	2 Jul →
nuke	13–9	-0.01	9%	1 Jul →
mirage	13–8	-0.00	16%	29 Jun →
nuke	16–14	0.02	11%	21 Jun →
nuke	13–9	0.07	20%	10 Jun →
ancient	2–13	-0.06	10%	24 May →
mirage	13–5	0.03	8%	24 May →
mirage	15–15	-0.01	20%	10 May →
inferno	11–13	-0.06	9%	9 May →
anubis	13–7	0.02	14%	6 May →
cache	13–1	0.16	17%	3 May →
mirage	7–13	-0.02	12%	3 May →
inferno	10–13	-0.02	14%	2 May →
nuke	13–11	0.06	20%	1 May →
ancient	11–13	0.06	16%	26 Apr →
anubis	13–9	0.02	9%	25 Apr →
nuke	10–13	0.00	35%	16 Apr →
inferno	8–13	-0.11	20%	14 Apr →
nuke	3–13	-0.07	21%	12 Apr →
mirage	13–4	0.14	33%	12 Apr →
dust2	13–11	0.02	28%	11 Apr →
mirage	13–2	0.06	14%	9 Apr →
nuke	15–15	-0.02	16%	8 Apr →
overpass	6–13	-0.03	17%	8 Apr →
anubis	11–13	0.05	21%	8 Apr →
nuke	2–13	0.01	21%	8 Apr →
overpass	11–13	0.03	20%	7 Apr →
overpass	16–14	-0.01	25%	6 Apr →
nuke	11–13	-0.02	19%	6 Apr →
mirage	4–13	0.03	22%	6 Apr →
mirage	9–13	-0.07	10%	5 Apr →
mirage	13–10	0.03	25%	5 Apr →
ancient	13–11	-0.04	10%	5 Apr →
ancient	13–11	0.05	9%	1 Apr →
inferno	8–13	-0.02	13%	29 Mar →
nuke	0–9	-0.02	17%	28 Mar →
mirage	10–13	0.00	20%	27 Mar →
ancient	13–11	0.01	13%	26 Mar →
nuke	6–13	0.04	10%	26 Mar →
mirage	16–12	-0.02	14%	25 Mar →
dust2	15–15	-0.02	19%	13 Mar →
inferno	13–4	-0.01	18%	12 Mar →
ancient	6–13	-0.03	14%	12 Mar →
mirage	13–11	0.00	22%	11 Mar →
inferno	4–0	-0.02	17%	11 Mar →
dust2	2–13	0.00	0%	11 Mar →
ancient	13–6	0.09	28%	11 Mar →
mirage	13–4	0.08	27%	11 Mar →
anubis	8–13	-0.05	17%	8 Mar →
ancient	13–7	0.09	25%	8 Mar →
anubis	9–13	0.01	21%	8 Mar →
nuke	13–9	0.01	21%	7 Mar →
nuke	13–9	0.04	16%	7 Mar →
mirage	4–13	-0.02	22%	6 Mar →
inferno	10–13	-0.08	15%	4 Mar →
mirage	13–10	0.06	16%	26 Feb →
overpass	15–15	0.01	11%	24 Feb →
mirage	11–13	-0.01	19%	24 Feb →
inferno	8–13	0.03	21%	23 Feb →
ancient	13–9	-0.00	14%	23 Feb →
ancient	13–8	0.08	16%	23 Feb →
anubis	15–15	-0.01	14%	17 Feb →
mirage	1–6	-0.02	40%	17 Feb →
mirage	9–13	-0.03	17%	16 Feb →
vertigo	12–12	0.05	17%	16 Feb →
nuke	6–13	-0.01	24%	16 Feb →
inferno	5–13	-0.03	17%	16 Feb →
nuke	13–9	0.02	22%	16 Feb →
inferno	13–7	-0.04	17%	15 Feb →
inferno	13–10	0.02	18%	14 Feb →
anubis	13–5	0.08	17%	14 Feb →
inferno	14–16	0.07	18%	13 Feb →
mirage	13–11	0.03	20%	11 Feb →
nuke	13–10	0.07	28%	11 Feb →
ancient	13–10	-0.03	17%	11 Feb →
anubis	16–13	0.02	7%	10 Feb →
nuke	13–11	0.02	14%	10 Feb →