Mazda — CS2 Stats

76561197988377263[U:1:28111535]Steam profile ↗✓ No bans

1,436Tracked matches60%Win rate2020Tracked since

CSDB Rating6.0 SolidAll-Rounder

CSDB Leaderboard#79607 of 226934 tracked

FaceitLevel 10 · 2,428 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 82 days played since 16 Dec 2023. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 19,746 +1,560 16 Dec – 3 Oct · 17 days played

21,666Peak Premier in tracked matches

2,428Highest Faceit ELO seen on CSDB

82Days played since 2023-12-16

Faceit ELO

At peak — 2,428
Next: 2,500 ELO at 2,500 — 72 to go
Reached: Level 10 · Level 9 · Level 8 · Level 7

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

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

Aim66

Positioning53

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLLLWWLWWWW

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +3.1pp headshot accuracy · −19ms 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

2–3 · 40% win rate
Avg rating -0.03
Avg headshot accuracy 28%
Avg reaction 619ms

Last 10

6–4 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 26%
Avg reaction 592ms

Last 20

12–8 · 60% win rate
Avg rating 0.02
Avg headshot accuracy 24%
Avg reaction 602ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.6

Utility5.5

Positioning5.3

Opening Duels5.5

Clutch3.0

Effective flashes

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 m0NESY 87% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 59% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 600ms 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

Aim6.6

Positioning5.3

Utility5.5

Mechanics6.2

Opening Duels4.0

Win Impact8.3

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 rating0.02−0.02

first ⅓ avg 0.04 → last ⅓ avg 0.02

Reaction time600ms+15ms

first ⅓ avg 585ms → last ⅓ avg 600ms

Headshot accuracy23.9%−0.1%

first ⅓ avg 24.0% → last ⅓ avg 23.9%

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.

Personal bests

0.16Best match rating · 13–6 · vertigo, 31 Jan →

38%Best headshot accuracy · 7–13 · overpass, 17 Apr →

422msFastest reaction time · 13–10 · overpass, 28 Feb →

13–2Biggest win · ancient, 15 Jan →

Across the last 100 tracked matches.

Highlights

9Longest win streak

L3Current streak

13–6In matches decided by ≤2 rounds

12Overtime games

Map breakdown

ancientBest map · 74% over 23overpassWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
ancient	S	23	17–6	74%	0.05
nuke	S	22	15–7	68%	0.02
inferno	C	12	5–7	42%	0.02
vertigo	A	11	6–5	55%	0.04
anubis	C	9	4–5	44%	0.03
overpass	D	8	2–6	25%	-0.03
train	S	6	4–2	67%	0.05
mirage	D	6	2–4	33%	-0.00
dust2	—	3	1–2	33%	0.02

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,389Matches

52%Win rate

1.23Avg K/D

87.1ADR

50%Headshot %

Clutches & streaks

35%1v1 clutch win

27%1v2 clutch win

10Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	103	51%	1.14	17.1
Nuke	102	66%	1.33	19.0
Inferno	84	56%	1.20	18.8
Mirage	68	41%	1.18	17.0
Dust2	56	48%	1.09	15.9
Overpass	39	49%	1.17	18.0
Anubis	24	42%	1.02	17.4
Vertigo	24	58%	1.26	17.7

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.

23.1%Headshot accuracy

31.5%Accuracy (enemy spotted)

33.1%Spray accuracy

77.8%Counter-strafing

9.7°Preaim

600msReaction time

32.6%T opening success

59.3%CT opening success

0.73Enemies flashed / flash

13.5%Flash assists

6.88HE damage / grenade

12.09Flashes / 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 32.6087% — below the 40% mark we flag

Spend your practice time on Overpass

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	2–9	-0.12	38%	21 Jul →
overpass	7–13	-0.02	38%	17 Apr →
ancient	9–13	-0.05	16%	17 Apr →
nuke	13–10	0.02	22%	28 Feb →
ancient	16–12	0.02	27%	23 Feb →
inferno	10–13	0.02	20%	13 Dec →
ancient	13–8	0.08	29%	7 Dec →
ancient	13–11	0.04	27%	25 Nov →
ancient	13–10	0.08	28%	20 Nov →
nuke	13–11	-0.05	16%	29 Oct →
train	16–14	0.03	15%	28 Oct →
mirage	13–6	0.03	17%	28 Oct →
nuke	13–8	0.08	23%	26 Oct →
ancient	13–10	0.01	20%	24 Oct →
nuke	13–7	0.02	32%	17 Oct →
inferno	10–13	0.05	19%	15 Oct →
inferno	13–5	0.01	26%	6 Oct →
nuke	7–13	0.07	24%	6 Oct →
mirage	8–13	0.08	22%	11 Sept →
overpass	1–13	-0.02	28%	7 Sept →
train	16–13	0.04	20%	2 Sept →
dust2	11–13	0.09	30%	13 Jul →
mirage	3–13	-0.06	18%	6 Jul →
train	9–13	0.08	21%	3 Jul →
mirage	8–13	0.00	28%	30 Jun →
ancient	13–7	0.05	21%	24 Jun →
dust2	12–16	-0.02	18%	16 Jun →
inferno	13–11	0.04	24%	4 Jun →
inferno	13–6	0.08	24%	1 Jun →
dust2	13–5	-0.01	23%	1 Jun →
train	13–10	0.06	23%	30 May →
mirage	13–6	-0.03	23%	12 Apr →
nuke	10–13	0.01	28%	10 Apr →
nuke	13–5	0.12	27%	6 Apr →
inferno	6–13	0.01	28%	12 Mar →
train	13–6	0.13	27%	23 Nov →
train	7–13	-0.04	15%	21 Nov →
nuke	7–13	0.00	28%	20 Oct →
ancient	9–13	-0.00	19%	4 Oct →
nuke	13–6	-0.00	36%	3 Oct →
ancient	16–12	0.06	31%	17 Jun →
inferno	19–17	-0.01	20%	3 Jun →
anubis	19–16	0.03	24%	30 Apr →
nuke	13–5	0.06	21%	29 Apr →
vertigo	9–13	-0.07	16%	21 Apr →
ancient	19–17	0.05	27%	15 Mar →
nuke	16–14	0.01	31%	13 Mar →
vertigo	9–13	0.03	33%	8 Mar →
vertigo	11–13	0.04	21%	29 Feb →
ancient	13–11	0.06	18%	29 Feb →
overpass	13–10	0.02	25%	28 Feb →
vertigo	13–5	-0.00	28%	28 Feb →
nuke	7–13	0.01	26%	27 Feb →
ancient	13–6	0.01	33%	27 Feb →
overpass	9–13	0.02	26%	26 Feb →
overpass	10–13	-0.07	17%	23 Feb →
mirage	11–13	-0.03	22%	21 Feb →
ancient	5–13	0.02	15%	20 Feb →
vertigo	11–13	0.02	27%	20 Feb →
inferno	7–13	-0.01	29%	18 Feb →
nuke	10–13	0.06	38%	14 Feb →
ancient	10–13	-0.02	18%	11 Feb →
ancient	13–8	0.11	29%	7 Feb →
inferno	16–14	0.04	22%	5 Feb →
vertigo	13–6	0.16	33%	31 Jan →
overpass	10–13	-0.05	14%	31 Jan →
nuke	3–13	-0.05	26%	31 Jan →
ancient	13–10	0.08	21%	28 Jan →
nuke	13–6	0.01	32%	28 Jan →
ancient	7–13	-0.02	26%	27 Jan →
nuke	13–8	0.04	21%	27 Jan →
inferno	10–13	0.03	26%	23 Jan →
inferno	5–13	-0.03	14%	22 Jan →
ancient	11–13	0.05	27%	22 Jan →
overpass	13–10	0.01	28%	21 Jan →
vertigo	13–6	0.08	23%	21 Jan →
anubis	4–13	-0.03	21%	20 Jan →
nuke	13–10	0.04	21%	19 Jan →
anubis	6–13	-0.00	29%	19 Jan →
vertigo	13–11	0.07	33%	17 Jan →
nuke	13–6	0.07	33%	16 Jan →
ancient	13–2	0.06	22%	15 Jan →
vertigo	13–6	0.08	20%	14 Jan →
nuke	13–10	0.07	26%	11 Jan →
vertigo	10–13	-0.03	26%	10 Jan →
anubis	5–13	0.03	24%	9 Jan →
nuke	13–11	0.03	23%	8 Jan →
overpass	5–13	-0.09	16%	8 Jan →
nuke	13–3	-0.01	35%	8 Jan →
ancient	13–11	0.08	23%	7 Jan →
anubis	11–13	0.01	28%	7 Jan →
anubis	13–3	0.08	25%	6 Jan →
ancient	13–10	0.15	20%	5 Jan →
inferno	15–15	0.03	27%	4 Jan →
anubis	7–13	-0.03	21%	3 Jan →
vertigo	13–4	0.06	22%	2 Jan →
anubis	13–10	0.09	23%	22 Dec →
anubis	13–8	0.11	16%	19 Dec →
ancient	13–6	0.10	11%	18 Dec →
ancient	16–14	0.14	29%	16 Dec →