Bäska — CS2 Stats

76561199408915399[U:1:1448649671]Steam profile ↗✓ No bans

3,054Tracked matches52%Win rate2022Tracked since

CSDB Rating3.6 Learning

Premier CS Rating19,232Purple band · top ~11.6% of ranked players (population est.)

CSDB Leaderboard#12150 of 26226 tracked

FaceitLevel 7 · 1,291 ELOTop 42.3% of ranked FACEIT players

WingmanMaster Guardian I

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

Aim37

Positioning47

Utility32

0–100 skill scores via Leetify.

Recent form

STEADY52–45–3Last 10052%Win rateLTWLWLLWWL

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

Player DNA

Aim3.7

Aggression4.0

Utility3.2

Positioning4.7

Opening Duels1.2

Clutch3.2

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 77% playstyle similarity

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

Where you differ: lower utility contribution; lower 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

Counter-strafing. Only 61% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.7

Positioning4.7

Utility3.2

Mechanics2.5

Opening Duels1.2

Win Impact5.6

Composite 3.6/10 (Learning), 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+0.03

first ⅓ avg -0.01 → last ⅓ avg 0.03

Reaction time555ms−56ms

first ⅓ avg 611ms → last ⅓ avg 555ms

Headshot accuracy9.4%+0.4%

first ⅓ avg 9.0% → last ⅓ avg 9.4%

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

0.19Best rating — vertigo 9–2

13–0Biggest win — nuke

6Longest win streak

10–9In matches decided by ≤2 rounds

9Overtime games

Map breakdown

infernoBest map · 57% over 23cacheWeakest map · 30% over 10

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	23	13–10	57%	0.01
ancient	B	21	11–10	52%	-0.00
anubis	B	19	10–9	53%	0.02
nuke	B	16	8–8	50%	0.02
cache	D	10	3–7	30%	-0.00
vertigo	—	4	2–2	50%	0.10
mirage	—	3	2–1	67%	0.01
debris	—	2	1–1	50%	0.02
overpass	—	1	1–0	100%	0.08
dust2	—	1	1–0	100%	-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

172Matches

59%Win rate

1.13Avg K/D

75.8ADR

28%Headshot %

Clutches & streaks

36%1v1 clutch win

24%1v2 clutch win

11Longest win streak

Recent Faceit resultsLLWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	47	70%	1.15	15.8
Anubis	30	57%	1.11	15.2
Nuke	23	57%	1.12	16.3
Inferno	20	65%	1.10	15.8
Overpass	19	63%	1.18	14.5
Mirage	15	47%	1.34	17.8
Cache	9	11%	0.77	12.7
Train	5	80%	1.25	16.8

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.

9.0%Headshot accuracy

32.1%Accuracy (enemy spotted)

46.2%Spray accuracy

61.0%Counter-strafing

14.2°Preaim

534msReaction time

33.7%T opening success

35.7%CT opening success

0.33Enemies flashed / flash

1.1%Flash assists

7.54HE damage / grenade

2.35Flashes / 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
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 14.1558° — above the 12° mark we flag
Aim Training →
Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 9.0482% — below the 15% mark we flag
Aim Training →
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 0.3345 — below the 0.5 mark we flag
Grenade Lineups →

Spend your practice time on Cache

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
anubis	10–13	0.03	12%	26 Aug →
ancient	15–15	0.07	11%	26 Aug →
inferno	16–13	0.00	11%	26 Aug →
cache	5–13	-0.06	8%	25 Aug →
inferno	13–8	0.09	15%	25 Aug →
anubis	9–13	0.07	14%	25 Aug →
inferno	4–9	-0.05	12%	25 Aug →
debris	9–6	-0.00	15%	25 Aug →
vertigo	9–1	0.17	2%	25 Aug →
nuke	5–9	0.04	7%	24 Aug →
overpass	9–4	0.08	8%	24 Aug →
vertigo	8–8	0.08	13%	24 Aug →
inferno	9–7	0.05	24%	24 Aug →
inferno	8–8	-0.04	9%	24 Aug →
cache	8–13	-0.01	8%	23 Aug →
anubis	11–13	0.01	7%	23 Aug →
anubis	13–9	0.08	4%	23 Aug →
ancient	13–6	0.07	11%	23 Aug →
nuke	13–0	0.08	6%	23 Aug →
ancient	13–7	0.02	8%	19 Aug →
ancient	16–12	-0.04	12%	19 Aug →
ancient	14–16	-0.01	8%	18 Aug →
inferno	13–9	0.04	6%	18 Aug →
cache	13–3	0.11	4%	18 Aug →
inferno	13–11	0.02	4%	18 Aug →
inferno	4–13	-0.05	10%	17 Aug →
nuke	13–4	0.03	9%	17 Aug →
nuke	8–13	0.05	12%	17 Aug →
cache	10–13	-0.02	8%	14 Aug →
ancient	13–8	0.10	7%	14 Aug →
nuke	8–13	-0.03	8%	14 Aug →
inferno	4–13	-0.00	12%	14 Aug →
nuke	7–9	-0.04	4%	13 Aug →
inferno	9–6	0.06	4%	13 Aug →
inferno	7–13	-0.03	13%	12 Aug →
ancient	11–13	-0.09	7%	11 Aug →
anubis	13–0	0.03	14%	11 Aug →
mirage	13–4	-0.01	9%	11 Aug →
nuke	13–1	0.03	12%	11 Aug →
ancient	10–13	-0.00	2%	11 Aug →
nuke	4–9	-0.02	4%	11 Aug →
inferno	9–3	0.11	8%	11 Aug →
vertigo	9–2	0.19	2%	11 Aug →
debris	5–9	0.05	11%	11 Aug →
inferno	5–9	0.06	5%	11 Aug →
cache	5–13	-0.06	7%	10 Aug →
nuke	13–3	0.07	9%	10 Aug →
anubis	19–16	0.01	8%	10 Aug →
mirage	13–11	0.04	7%	9 Aug →
anubis	13–11	-0.02	7%	9 Aug →
anubis	10–13	0.01	2%	9 Aug →
ancient	13–11	-0.10	10%	6 Aug →
anubis	13–9	0.02	6%	6 Aug →
nuke	13–6	0.06	10%	6 Aug →
ancient	5–13	-0.07	6%	5 Aug →
vertigo	11–13	-0.04	5%	5 Aug →
cache	9–13	0.02	12%	5 Aug →
inferno	10–13	-0.03	9%	5 Aug →
nuke	13–8	-0.01	12%	3 Aug →
nuke	13–3	0.03	8%	3 Aug →
ancient	13–6	0.06	4%	3 Aug →
ancient	6–13	-0.06	7%	2 Aug →
anubis	13–10	0.10	9%	2 Aug →
nuke	8–13	0.04	3%	2 Aug →
inferno	13–7	0.05	13%	2 Aug →
ancient	13–11	-0.02	7%	2 Aug →
anubis	13–5	0.10	8%	2 Aug →
ancient	13–10	0.06	9%	2 Aug →
inferno	8–13	-0.00	9%	2 Aug →
anubis	13–9	0.07	10%	1 Aug →
dust2	13–11	-0.04	8%	1 Aug →
inferno	13–3	-0.02	12%	1 Aug →
anubis	13–4	0.01	7%	1 Aug →
ancient	13–10	0.05	7%	1 Aug →
anubis	13–11	-0.01	5%	1 Aug →
nuke	14–16	-0.04	10%	1 Aug →
anubis	7–13	-0.04	16%	28 Jul →
inferno	13–9	0.01	9%	28 Jul →
ancient	13–11	-0.03	15%	27 Jul →
cache	10–13	-0.04	5%	27 Jul →
ancient	14–16	-0.00	10%	27 Jul →
anubis	4–13	-0.07	5%	26 Jul →
ancient	7–13	-0.04	13%	26 Jul →
inferno	11–13	-0.00	13%	26 Jul →
ancient	10–13	-0.07	10%	24 Jul →
nuke	3–13	-0.07	7%	24 Jul →
inferno	10–13	0.01	4%	24 Jul →
cache	13–9	0.04	9%	24 Jul →
ancient	13–6	-0.00	7%	24 Jul →
anubis	9–13	-0.01	6%	23 Jul →
inferno	13–7	0.02	8%	23 Jul →
cache	13–8	0.01	8%	23 Jul →
nuke	13–8	0.02	5%	23 Jul →
mirage	2–13	-0.01	12%	22 Jul →
ancient	7–13	0.04	11%	22 Jul →
anubis	6–13	-0.06	11%	22 Jul →
inferno	13–7	0.05	10%	22 Jul →
anubis	14–16	0.01	8%	21 Jul →
cache	7–13	-0.02	7%	21 Jul →
inferno	16–14	-0.01	11%	21 Jul →