Bente Bredmås — CS2 Stats

76561198047835201[U:1:87569473]

1,269Tracked matches45%Win rate2020Tracked since

CSDB Rating6.0 SolidPassive Rifler

FaceitLevel 10 · 2,102 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim87

Positioning47

Utility62

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateLLWWLWLWLW

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

Player DNA

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

Aim8.7

Aggression4.2

Utility6.2

Positioning4.7

Opening Duels0.1

Clutch3.2

Sharp aimer

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 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success.

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 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 40 points — deaths here waste a strong aim profile.

Reaction time. 571ms 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

Aim8.7

Positioning4.7

Utility6.2

Mechanics7.9

Opening Duels0.1

Win Impact3.3

Composite 6.0/10 (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 rating0.03−0.00

first ⅓ avg 0.03 → last ⅓ avg 0.03

Reaction time583ms+4ms

first ⅓ avg 579ms → last ⅓ avg 583ms

Headshot accuracy24.1%−0.9%

first ⅓ avg 24.9% → last ⅓ avg 24.1%

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

0.14Best rating — nuke 13–8

13–2Biggest win — ancient

6Longest win streak

L2Current streak

4–13In matches decided by ≤2 rounds

4Overtime games

Map breakdown

nukeBest map · 100% over 8mirageWeakest map · 35% over 31

Map	Grade	Played	Record	Win rate	Avg rating
mirage	C	31	11–20	35%	0.01
inferno	B	29	13–16	45%	0.04
ancient	B	15	7–8	47%	0.01
nuke	S	8	8–0	100%	0.05
overpass	C	7	3–4	43%	0.02
dust2	—	4	2–2	50%	0.06
anubis	—	3	1–2	33%	-0.00
train	—	2	0–2	0%	0.02
vertigo	—	1	0–1	0%	0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (35% over 31). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

659Matches

53%Win rate

1.14Avg K/D

76.6ADR

51%Headshot %

Clutches & streaks

36%1v1 clutch win

18%1v2 clutch win

12Longest win streak

Recent Faceit resultsWLLLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	78	46%	1.03	15.0
Inferno	47	55%	1.25	16.4
Ancient	37	57%	1.34	16.8
Nuke	27	44%	0.94	15.3
Vertigo	24	50%	1.09	17.9
Anubis	23	65%	1.10	14.3
Dust2	19	68%	0.96	16.1
Overpass	8	38%	1.07	16.1

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.

24.1%Headshot accuracy

36.1%Accuracy (enemy spotted)

43.2%Spray accuracy

85.5%Counter-strafing

8.8°Preaim

571msReaction time

31.1%T opening success

29.8%CT opening success

0.69Enemies flashed / flash

5.3%Flash assists

10.02HE damage / grenade

8.16Flashes / 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 31.0789% — below the 40% mark we flag

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.

35% win rate across 31 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
mirage	9–13	0.00	32%	26 Apr →
mirage	6–13	0.06	27%	26 Apr →
mirage	5–0	0.08	25%	26 Apr →
inferno	13–4	0.13	31%	23 Apr →
mirage	11–13	0.02	23%	23 Feb →
dust2	13–3	0.08	30%	22 Feb →
inferno	9–13	0.04	28%	16 Feb →
nuke	13–8	0.01	25%	16 Feb →
inferno	6–13	0.06	20%	14 Feb →
nuke	13–7	-0.01	25%	14 Feb →
inferno	13–8	0.08	20%	13 Feb →
mirage	0–13	-0.01	18%	13 Feb →
mirage	8–13	-0.04	16%	12 Feb →
mirage	11–13	0.06	37%	12 Feb →
inferno	13–11	0.02	22%	11 Feb →
mirage	11–13	0.03	21%	10 Feb →
inferno	7–13	0.07	23%	10 Feb →
anubis	6–13	-0.02	24%	7 Feb →
mirage	13–7	-0.04	28%	6 Feb →
mirage	13–9	-0.02	11%	4 Feb →
inferno	10–13	-0.02	18%	4 Feb →
ancient	13–10	0.05	19%	3 Feb →
ancient	12–12	-0.03	25%	30 Jan →
anubis	8–13	-0.02	31%	30 Jan →
anubis	13–8	0.04	13%	29 Jan →
inferno	11–13	0.10	28%	18 Jan →
ancient	13–5	0.07	22%	17 Jan →
mirage	13–6	0.10	33%	17 Jan →
inferno	10–13	-0.02	24%	16 Jan →
mirage	2–13	-0.07	27%	16 Jan →
inferno	13–3	0.10	19%	10 Jan →
mirage	13–11	0.00	24%	10 Jan →
inferno	13–10	0.00	25%	30 Dec →
mirage	7–13	0.05	17%	29 Dec →
inferno	13–7	0.12	28%	29 Dec →
nuke	13–9	-0.01	29%	29 Dec →
mirage	4–13	-0.01	20%	29 Dec →
inferno	3–13	-0.01	25%	27 Dec →
inferno	11–13	0.03	18%	27 Dec →
mirage	13–10	0.02	23%	27 Dec →
inferno	11–13	0.01	46%	12 Dec →
mirage	3–13	-0.01	17%	2 Dec →
inferno	13–5	-0.05	13%	28 Nov →
nuke	16–14	0.13	27%	22 Nov →
overpass	13–5	0.06	14%	18 Nov →
overpass	6–13	-0.01	30%	17 Nov →
inferno	13–9	0.02	20%	13 Nov →
ancient	14–16	0.05	29%	2 Nov →
overpass	13–9	0.01	33%	28 Oct →
dust2	8–13	0.11	24%	25 Oct →
overpass	0–13	0.00	24%	24 Oct →
inferno	11–13	-0.01	18%	24 Oct →
inferno	7–13	0.05	24%	14 Oct →
inferno	13–9	-0.00	43%	12 Oct →
mirage	13–10	0.03	35%	12 Oct →
inferno	4–13	0.01	29%	9 Oct →
mirage	12–12	-0.01	20%	8 Oct →
mirage	9–13	0.01	38%	5 Oct →
mirage	6–13	-0.13	27%	5 Oct →
vertigo	8–13	0.03	22%	4 Oct →
inferno	13–3	0.07	27%	4 Oct →
ancient	2–13	-0.03	26%	4 Oct →
ancient	13–10	0.03	14%	3 Oct →
ancient	13–11	0.02	39%	2 Oct →
ancient	0–2	-0.10	17%	27 Sept →
ancient	13–7	0.11	24%	21 Sept →
train	9–13	-0.01	22%	20 Sept →
mirage	11–13	0.03	28%	18 Sept →
mirage	13–4	0.01	39%	18 Sept →
ancient	13–2	-0.05	14%	17 Sept →
train	12–12	0.04	45%	17 Sept →
nuke	13–10	0.08	29%	15 Sept →
inferno	13–7	0.05	26%	15 Sept →
dust2	11–13	0.03	28%	11 Sept →
nuke	13–8	0.14	27%	11 Sept →
overpass	13–7	0.04	9%	10 Sept →
nuke	13–9	0.05	24%	10 Sept →
mirage	13–10	0.01	20%	10 Sept →
nuke	13–7	0.02	39%	7 Sept →
inferno	16–13	0.04	15%	29 Aug →
inferno	2–9	0.04	33%	28 Aug →
mirage	10–13	-0.02	24%	28 Aug →
ancient	12–12	0.02	22%	26 Aug →
mirage	4–13	-0.02	16%	26 Aug →
overpass	5–13	0.02	31%	23 Aug →
inferno	8–13	0.05	41%	22 Aug →
inferno	12–12	0.06	21%	21 Aug →
inferno	11–13	0.04	20%	21 Aug →
ancient	2–13	0.01	25%	21 Aug →
mirage	4–13	0.03	27%	19 Aug →
overpass	8–13	-0.01	24%	17 Aug →
mirage	12–12	0.02	23%	16 Aug →
ancient	10–13	-0.03	16%	16 Aug →
ancient	11–13	0.10	23%	16 Aug →
mirage	13–5	0.06	19%	15 Aug →
mirage	8–13	-0.06	19%	15 Aug →
ancient	13–10	-0.01	21%	14 Aug →
dust2	19–16	0.04	25%	11 Aug →
mirage	13–7	0.01	17%	10 Aug →
inferno	13–10	0.09	31%	10 Aug →