bazrat — CS2 Stats

76561198274817779[U:1:314552051]

1,044Tracked matches57%Win rate2020Tracked since

2,231Hours in CS0Hrs last 2 wks

CSDB Rating5.7 Solid

FaceitLevel 2Top 97.9% of ranked FACEIT players

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

Aim57

Positioning56

Utility44

0–100 skill scores via Leetify.

Recent form

STEADY48–48–4Last 10048%Win rateLWWWLLLWWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

Aim5.7

Aggression7.8

Utility4.4

Positioning5.6

Opening Duels2.7

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 b1t 86% playstyle similarity

Most alike: opening-fight frequency, 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. 681ms 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

Aim5.7

Positioning5.6

Utility4.4

Mechanics7.7

Opening Duels2.7

Win Impact7.4

Composite 5.7/10 (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 time672ms+24ms

first ⅓ avg 648ms → last ⅓ avg 672ms

Headshot accuracy18.9%−0.2%

first ⅓ avg 19.1% → last ⅓ avg 18.9%

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

0.21Best rating — ancient 13–7

13–0Biggest win — train

6Longest win streak

6–9In matches decided by ≤2 rounds

4Overtime games

Map breakdown

dust2Best map · 88% over 8infernoWeakest map · 11% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	23	11–12	48%	0.05
nuke	B	16	8–8	50%	0.02
ancient	S	12	8–4	67%	0.05
anubis	C	10	4–6	40%	0.03
inferno	D	9	1–8	11%	0.01
dust2	S	8	7–1	88%	0.02
vertigo	D	6	2–4	33%	0.02
train	S	5	4–1	80%	0.01
overpass	—	4	0–4	0%	-0.00
office	—	3	2–1	67%	-0.04
italy	—	2	0–2	0%	0.08
warden	—	1	0–1	0%	-0.01
grail	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (11% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

90,282Lifetime kills

1.13K/D · Top 50% of tracked players

3,418Matches

45.9%Match win rate

48.2%Headshot % · Top 50% of tracked players

21.6%Shot accuracy · Top 5% of tracked players

6,919MVPs

2,778Hours (in match)

2,407Bombs planted

886Bombs defused

Most-used weapons

AK-4732,389

M4A4 / M4A1-S16,665

AWP7,670

P2000 / USP-S5,657

Desert Eagle4,706

Glock-182,653

MP92,205

P2502,032

Galil AR1,960

UMP-451,502

Lifetime map wins

4,568dust2

2,322inferno

939nuke

685vertigo

305train

302cbble

71office

65lake

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

Skill profile

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

19.0%Headshot accuracy

35.9%Accuracy (enemy spotted)

38.6%Spray accuracy

84.5%Counter-strafing

13.6°Preaim

681msReaction time

34.6%T opening success

47.0%CT opening success

0.55Enemies flashed / flash

4.1%Flash assists

7.01HE damage / grenade

12.77Flashes / 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 13.5759° — above the 12° mark we flag
Aim Training →

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.

11% win rate across 9 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
warden	9–13	-0.01	21%	25 Jan →
office	13–8	-0.03	12%	25 Jan →
mirage	13–3	0.12	27%	25 Jan →
ancient	13–6	0.07	23%	25 Jan →
anubis	3–13	0.01	9%	25 Jan →
mirage	11–13	-0.02	21%	25 Jan →
mirage	5–13	-0.15	11%	18 Jan →
mirage	13–3	0.11	22%	18 Jan →
mirage	13–11	0.04	27%	15 Jan →
nuke	13–10	-0.00	19%	15 Jan →
nuke	6–13	-0.02	16%	2 Jan →
mirage	13–3	0.07	22%	2 Jan →
mirage	12–13	0.11	17%	20 Dec →
ancient	13–8	0.10	18%	20 Dec →
nuke	5–9	0.03	21%	18 Jul →
mirage	8–13	-0.04	24%	18 Jul →
overpass	3–13	-0.10	13%	18 Jul →
anubis	7–13	0.00	17%	7 Jul →
vertigo	13–3	0.01	14%	2 Jul →
vertigo	12–12	0.10	25%	2 Jul →
grail	13–6	0.02	18%	2 Jul →
inferno	13–5	-0.01	9%	22 Jun →
mirage	10–13	0.03	24%	21 Jun →
nuke	13–11	0.05	10%	15 Jun →
mirage	13–5	0.07	21%	15 Jun →
nuke	12–12	0.01	13%	15 Jun →
anubis	13–8	0.04	35%	4 Jun →
mirage	13–6	0.12	16%	4 Jun →
inferno	9–13	-0.00	19%	25 May →
ancient	13–7	0.21	24%	25 May →
train	13–0	0.00	20%	25 May →
inferno	4–13	-0.01	18%	15 May →
ancient	11–13	0.00	19%	7 May →
overpass	4–13	-0.01	22%	4 Apr →
inferno	0–3	-0.04	0%	4 Apr →
train	2–3	-0.05	0%	4 Apr →
mirage	13–11	0.09	19%	27 Mar →
ancient	4–13	0.01	20%	27 Mar →
inferno	4–13	0.10	24%	26 Mar →
dust2	8–13	0.07	21%	24 Mar →
anubis	13–3	0.06	27%	22 Mar →
mirage	4–13	0.00	14%	22 Mar →
anubis	5–13	0.00	27%	19 Mar →
nuke	13–8	0.01	25%	19 Mar →
mirage	11–13	0.15	24%	21 Feb →
mirage	13–9	0.16	21%	21 Feb →
mirage	2–13	0.06	17%	6 Feb →
nuke	4–13	-0.03	22%	6 Feb →
ancient	11–13	-0.02	24%	18 Jan →
train	5–0	0.02	4%	14 Jan →
anubis	8–13	-0.01	19%	12 Jan →
ancient	13–11	0.00	16%	11 Jan →
anubis	11–13	0.01	14%	11 Jan →
dust2	13–9	-0.06	18%	11 Jan →
anubis	13–6	0.07	21%	11 Jan →
overpass	5–13	0.01	13%	1 Jan →
dust2	13–10	0.04	27%	30 Dec →
italy	6–13	0.06	22%	29 Dec →
ancient	13–6	0.08	21%	29 Dec →
inferno	9–13	0.04	42%	26 Dec →
vertigo	4–13	-0.01	20%	24 Dec →
mirage	5–9	0.05	21%	23 Dec →
inferno	3–13	-0.01	19%	23 Dec →
dust2	13–9	-0.01	12%	23 Dec →
mirage	13–6	-0.03	8%	22 Dec →
ancient	13–8	0.07	16%	22 Dec →
ancient	13–16	-0.03	23%	22 Dec →
ancient	13–1	0.08	20%	22 Dec →
anubis	13–4	0.11	22%	22 Dec →
anubis	11–13	-0.02	16%	20 Dec →
vertigo	13–1	0.09	9%	20 Dec →
dust2	13–10	0.05	16%	19 Dec →
nuke	5–13	-0.08	15%	15 Dec →
nuke	9–13	-0.01	13%	15 Dec →
mirage	4–9	0.00	21%	15 Dec →
inferno	8–13	0.10	11%	14 Dec →
mirage	5–13	0.04	15%	14 Dec →
nuke	13–3	0.07	21%	14 Dec →
overpass	12–12	0.09	23%	3 Dec →
nuke	9–13	-0.01	28%	1 Dec →
dust2	16–12	0.02	14%	29 Nov →
train	13–4	-0.01	11%	29 Nov →
nuke	13–3	0.05	20%	29 Nov →
office	13–4	-0.08	18%	19 Nov →
nuke	13–2	0.07	22%	19 Nov →
train	13–11	0.07	9%	19 Nov →
inferno	6–13	-0.02	28%	6 Nov →
mirage	9–13	0.03	18%	27 Oct →
nuke	13–1	0.15	11%	27 Oct →
mirage	13–7	0.06	23%	27 Oct →
italy	3–12	0.10	15%	27 Oct →
office	9–10	-0.01	24%	27 Oct →
vertigo	9–13	-0.07	12%	27 Oct →
dust2	13–11	0.02	14%	27 Oct →
nuke	13–10	-0.00	22%	27 Oct →
dust2	16–13	0.01	21%	26 Oct →
ancient	7–3	0.06	42%	10 Sept →
mirage	13–6	0.02	39%	29 Aug →
vertigo	15–15	0.01	22%	29 Aug →
nuke	6–13	-0.02	17%	28 Aug →