bæsti — CS2 Stats

DE76561198063672341[U:1:103406613]Steam profile ↗✓ No bans

1,272Tracked matches46%Win rate2021Tracked since

1,734Hours in CS

CSDB Rating5.5 SolidPositional Player

CSDB Leaderboard#60648 of 252070 tracked

Ladder ranks via Leetify

Rating over time

Premier CS Rating: 21,534 +1,535 21 Jun – 5 Jul · 8 days played

22,498Peak Premier in tracked matches

1,399Highest Faceit ELO seen on CSDB

34Days played since 2026-06-21

Faceit ELO

At peak — 1,399
Next: Level 8 at 1,531 — 132 to go
Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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Performance scores

Aim77

Positioning60

Utility53

0–100 skill scores via Leetify.

Recent form

STEADY42–50–8Last 10042%Win rateWWLWLWLLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.6pp headshot accuracy · −48ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.01
Avg headshot accuracy 20%
Avg reaction 545ms

Last 10

4–6 · 40% win rate
Avg rating -0.00
Avg headshot accuracy 18%
Avg reaction 563ms

Last 20

8–10–2 · 40% win rate
Avg rating -0.01
Avg headshot accuracy 18%
Avg reaction 587ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.1 against its own average).

Aim7.7

Utility5.3

Positioning6.0

Opening Duels4.3

Clutch3.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like NiKo 93% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Reaction time. 577ms 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

Aim7.7

Positioning6.0

Utility5.3

Mechanics7.0

Opening Duels3.9

Win Impact3.7

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time567ms−12ms

first ⅓ avg 579ms → last ⅓ avg 567ms

Headshot accuracy18.4%−0.3%

first ⅓ avg 18.8% → last ⅓ avg 18.4%

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.

Personal bests

0.13Best match rating · 13–5 · cache, 7 Jul →

38%Best headshot accuracy · 9–13 · cache, 13 Jul →

406msFastest reaction time · 1–13 · office, 19 Jul →

13–1Biggest win · vertigo, 25 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak

W2Current streak

6–3In matches decided by ≤2 rounds

Map breakdown

vertigoBest map · 71% over 7ancientWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	23	9–14	39%	-0.01
inferno	B	15	8–7	53%	0.01
cache	B	15	8–7	53%	0.03
anubis	C	10	4–6	40%	0.00
vertigo	S	7	5–2	71%	0.04
ancient	D	7	2–5	29%	-0.01
nuke	D	7	2–5	29%	0.01
mirage	C	5	2–3	40%	-0.01
train	—	4	1–3	25%	-0.02
office	—	4	0–4	0%	0.03
fachwerk	—	1	0–1	0%	0.03
boulder	—	1	1–0	100%	-0.04
shelter	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

103,627Lifetime kills

1.28K/D · Top 10% of tracked players

3,307Matches

43.8%Match win rate

62.6%Headshot % · Top 5% of tracked players

9.2%Shot accuracy

4,366MVPs

1,734Hours (in match)

2,820Bombs planted

492Bombs defused

Most-used weapons

AK-4737,999

M4A4 / M4A1-S15,834

AWP12,406

Desert Eagle9,346

P2000 / USP-S6,371

Glock-184,023

P2502,360

FAMAS2,096

Galil AR1,570

SSG 081,119

Lifetime map wins

6,126dust2

4,399inferno

2,385nuke

841vertigo

807office

490train

130italy

115shorttrain

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

106Matches

56%Win rate

0.85Avg K/D

60.7ADR

45%Headshot %

Clutches & streaks

39%1v1 clutch win

11%1v2 clutch win

7Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	21	52%	0.73	11.3
Inferno	17	47%	0.88	12.3
Dust2	16	62%	0.78	10.6
Anubis	13	85%	1.07	11.8
Ancient	10	30%	0.94	11.0
Nuke	7	57%	0.74	11.1
Vertigo	5	60%	1.37	14.6
Train	3	67%	0.85	6.0

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.

18.2%Headshot accuracy

34.3%Accuracy (enemy spotted)

40.2%Spray accuracy

81.7%Counter-strafing

8.6°Preaim

577msReaction time

44.7%T opening success

46.1%CT opening success

0.60Enemies flashed / flash

4.0%Flash assists

7.53HE damage / grenade

6.11Flashes / match

Recommended for you

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–10	-0.02	25%	15 Aug →
anubis	13–11	-0.05	20%	15 Aug →
dust2	2–13	0.00	31%	10 Aug →
cache	13–5	0.08	10%	1 Aug →
train	5–13	-0.06	14%	1 Aug →
vertigo	13–9	-0.01	9%	1 Aug →
ancient	9–13	0.04	19%	31 Jul →
dust2	3–13	-0.03	25%	31 Jul →
dust2	7–13	0.05	16%	30 Jul →
nuke	7–13	-0.02	15%	30 Jul →
nuke	13–10	0.03	17%	27 Jul →
dust2	13–4	-0.03	9%	27 Jul →
cache	13–6	0.02	26%	26 Jul →
dust2	3–13	-0.05	10%	26 Jul →
train	13–9	-0.01	19%	24 Jul →
dust2	12–12	0.01	24%	24 Jul →
anubis	5–13	-0.02	11%	23 Jul →
office	1–13	-0.05	11%	19 Jul →
mirage	7–13	-0.04	24%	19 Jul →
fachwerk	12–12	0.03	28%	18 Jul →
boulder	13–10	-0.04	19%	18 Jul →
cache	13–4	0.09	16%	18 Jul →
cache	8–13	-0.02	22%	18 Jul →
train	10–13	-0.04	11%	18 Jul →
inferno	13–9	0.01	16%	18 Jul →
vertigo	13–11	-0.02	17%	18 Jul →
cache	12–12	0.04	23%	18 Jul →
dust2	12–12	0.07	20%	18 Jul →
dust2	0–13	-0.04	20%	17 Jul →
inferno	8–13	0.03	15%	17 Jul →
anubis	13–6	-0.00	16%	17 Jul →
dust2	13–3	0.03	25%	17 Jul →
anubis	12–12	0.04	29%	16 Jul →
ancient	9–13	0.04	17%	14 Jul →
cache	9–13	-0.05	38%	13 Jul →
shelter	8–13	-0.01	25%	13 Jul →
mirage	1–13	-0.04	31%	11 Jul →
office	10–13	0.08	15%	9 Jul →
ancient	4–13	0.00	16%	8 Jul →
inferno	11–13	-0.04	11%	8 Jul →
cache	13–5	0.13	11%	7 Jul →
cache	5–13	-0.07	33%	6 Jul →
train	12–12	0.05	24%	6 Jul →
cache	9–13	0.06	18%	6 Jul →
dust2	13–11	-0.04	27%	5 Jul →
cache	11–13	0.04	14%	5 Jul →
nuke	8–13	0.00	17%	5 Jul →
ancient	13–9	-0.05	18%	4 Jul →
dust2	7–13	-0.01	11%	4 Jul →
inferno	9–13	-0.02	24%	4 Jul →
dust2	3–13	-0.05	23%	4 Jul →
anubis	6–13	0.06	13%	3 Jul →
inferno	9–13	-0.02	23%	3 Jul →
office	10–13	0.04	12%	2 Jul →
office	7–13	0.06	26%	2 Jul →
dust2	8–13	-0.03	29%	30 Jun →
nuke	10–13	0.00	30%	30 Jun →
dust2	6–13	-0.06	22%	30 Jun →
cache	13–8	0.04	13%	29 Jun →
anubis	4–13	-0.00	20%	29 Jun →
dust2	13–6	0.01	26%	29 Jun →
dust2	13–11	0.04	18%	28 Jun →
anubis	12–12	0.09	21%	28 Jun →
vertigo	13–9	-0.03	20%	27 Jun →
nuke	7–13	0.03	16%	27 Jun →
cache	13–7	0.05	22%	27 Jun →
anubis	13–9	0.00	19%	27 Jun →
vertigo	12–12	0.04	17%	27 Jun →
inferno	2–13	-0.02	10%	27 Jun →
vertigo	13–10	0.09	17%	27 Jun →
inferno	13–11	0.03	19%	26 Jun →
mirage	13–10	-0.01	23%	26 Jun →
nuke	13–10	0.00	11%	26 Jun →
inferno	13–10	0.04	27%	26 Jun →
cache	6–13	0.06	27%	26 Jun →
dust2	13–10	0.08	19%	26 Jun →
dust2	13–8	0.02	35%	26 Jun →
vertigo	13–1	0.11	12%	25 Jun →
nuke	10–13	-0.01	18%	25 Jun →
dust2	10–13	-0.07	15%	25 Jun →
anubis	3–13	-0.05	11%	25 Jun →
vertigo	11–13	0.11	21%	24 Jun →
dust2	7–13	-0.03	14%	24 Jun →
inferno	13–7	0.02	28%	24 Jun →
inferno	2–13	0.06	19%	23 Jun →
inferno	7–13	0.01	17%	23 Jun →
ancient	10–13	-0.01	13%	23 Jun →
dust2	10–13	-0.01	30%	23 Jun →
mirage	6–13	0.01	28%	23 Jun →
inferno	13–10	-0.02	9%	23 Jun →
anubis	13–6	-0.02	20%	23 Jun →
mirage	5–3	0.01	13%	23 Jun →
dust2	13–10	-0.07	17%	23 Jun →
ancient	13–7	-0.06	9%	23 Jun →
inferno	13–8	0.05	12%	22 Jun →
cache	13–9	0.03	28%	22 Jun →
cache	13–8	-0.01	21%	21 Jun →
dust2	13–8	0.05	26%	21 Jun →
ancient	7–13	-0.04	15%	21 Jun →
inferno	13–7	-0.00	18%	21 Jun →