dazz1c — CS2 Stats

DE76561197965953767[U:1:5688039]Steam profile ↗✓ No bans

1,648Tracked matches46%Win rate2020Tracked since

CSDB Rating5.1 Developing

Premier CS Rating17,451Purple band · top ~18.6% of ranked players (population est.)

CSDB Leaderboard#23894 of 46472 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Rating over time

17,451Peak Premier on CSDB

1Days observed since 2026-08-30

Premier CS Rating

At peak — 17,451
Next: Pink band at 20,000 — 2,549 to go
Reached: Purple band · Blue band · Light Blue band
Purple band first seen 2026-08-30
Blue band first seen 2026-08-30

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

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Performance scores

Aim55

Positioning54

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY47–49–4Last 10047%Win rateLWLWWTLWWL

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

Player DNA

Aim5.5

Aggression6.3

Utility7.3

Positioning5.4

Opening Duels1.6

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.

Your pro match

Plays most like Twistzz 90% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

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. 550ms 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

Aim5.5

Positioning5.4

Utility7.3

Mechanics5.1

Opening Duels1.6

Win Impact3.8

Composite 5.1/10 (Developing), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time544ms−18ms

first ⅓ avg 563ms → last ⅓ avg 544ms

Headshot accuracy12.3%+1.3%

first ⅓ avg 11.1% → last ⅓ avg 12.3%

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 — nuke 9–5

13–1Biggest win — inferno

3Longest win streak

9–7In matches decided by ≤2 rounds

12Overtime games

Map breakdown

anubisBest map · 62% over 13cacheWeakest map · 38% over 16

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	26	13–13	50%	0.03
dust2	C	26	11–15	42%	0.02
cache	C	16	6–10	38%	0.04
anubis	A	13	8–5	62%	0.03
ancient	A	12	7–5	58%	-0.00
nuke	—	4	1–3	25%	0.01
overpass	—	1	1–0	100%	0.09
debris	—	1	0–1	0%	-0.04
stronghold	—	1	0–1	0%	-0.00

Across the last 100 tracked matches.

Faceit stats

Combat

354Matches

53%Win rate

1.34Avg K/D

86.6ADR

30%Headshot %

Clutches & streaks

39%1v1 clutch win

26%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	37	49%	1.25	17.4
Ancient	34	53%	1.28	16.6
Inferno	34	53%	1.47	18.3
Dust2	25	64%	1.69	18.0
Vertigo	8	38%	1.13	15.9
Nuke	5	20%	1.22	20.0
Mirage	2	0%	0.50	7.5

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.

11.7%Headshot accuracy

32.5%Accuracy (enemy spotted)

32.5%Spray accuracy

72.9%Counter-strafing

9.1°Preaim

550msReaction time

32.8%T opening success

39.8%CT opening success

0.66Enemies flashed / flash

8.8%Flash assists

13.66HE damage / grenade

10.61Flashes / 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.

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 11.7489% — below the 15% mark we flag
Aim Training →
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 32.7957% — below the 40% mark we flag

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.

38% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

Map	Score	Rating	HS%	Date
nuke	5–9	-0.07	15%	23 Aug →
overpass	9–7	0.09	22%	23 Aug →
inferno	4–9	0.01	13%	23 Aug →
dust2	13–4	0.07	22%	20 Aug →
cache	13–7	-0.00	14%	20 Aug →
inferno	15–15	0.01	11%	20 Aug →
inferno	8–13	0.04	10%	17 Aug →
ancient	13–2	0.06	15%	17 Aug →
anubis	13–8	0.05	7%	17 Aug →
dust2	8–13	0.05	23%	17 Aug →
cache	13–11	0.10	8%	12 Aug →
dust2	6–13	0.03	15%	12 Aug →
ancient	16–13	0.01	5%	12 Aug →
inferno	8–13	-0.01	7%	9 Aug →
dust2	5–13	-0.04	17%	8 Aug →
inferno	7–13	0.06	8%	8 Aug →
anubis	8–13	-0.00	10%	8 Aug →
dust2	9–13	0.01	6%	8 Aug →
anubis	13–10	0.04	19%	8 Aug →
ancient	5–13	-0.05	9%	8 Aug →
inferno	13–11	-0.01	18%	8 Aug →
dust2	10–13	-0.05	14%	8 Aug →
dust2	3–13	-0.07	4%	8 Aug →
dust2	13–7	-0.02	21%	8 Aug →
cache	10–13	0.05	7%	8 Aug →
nuke	4–13	0.00	10%	8 Aug →
ancient	13–3	-0.01	7%	8 Aug →
inferno	13–11	0.02	15%	8 Aug →
anubis	16–13	0.03	8%	8 Aug →
cache	11–13	0.05	12%	7 Aug →
dust2	15–15	0.01	7%	7 Aug →
inferno	13–9	0.02	16%	7 Aug →
dust2	10–13	-0.06	15%	7 Aug →
inferno	13–5	0.09	12%	7 Aug →
dust2	5–13	0.01	18%	7 Aug →
inferno	10–13	0.01	14%	7 Aug →
dust2	11–13	0.01	14%	7 Aug →
cache	5–13	-0.02	9%	7 Aug →
ancient	10–13	-0.06	10%	7 Aug →
debris	7–9	-0.04	7%	6 Aug →
inferno	9–3	0.10	7%	6 Aug →
nuke	1–9	-0.10	13%	6 Aug →
ancient	13–9	0.05	9%	5 Aug →
inferno	12–16	-0.02	5%	5 Aug →
dust2	13–10	0.03	13%	5 Aug →
cache	8–13	-0.03	8%	5 Aug →
dust2	13–7	0.08	10%	2 Aug →
inferno	7–13	-0.03	15%	2 Aug →
cache	10–13	-0.00	9%	2 Aug →
ancient	13–4	0.06	9%	2 Aug →
dust2	10–13	0.05	12%	2 Aug →
cache	13–7	0.16	10%	31 Jul →
inferno	13–1	0.15	15%	31 Jul →
cache	9–13	0.04	10%	31 Jul →
anubis	13–7	0.06	10%	31 Jul →
ancient	8–13	-0.04	12%	31 Jul →
anubis	13–10	0.08	11%	31 Jul →
cache	15–15	0.03	11%	29 Jul →
dust2	8–13	-0.03	13%	29 Jul →
inferno	16–14	-0.00	7%	29 Jul →
nuke	9–5	0.21	23%	27 Jul →
inferno	6–9	-0.05	19%	27 Jul →
inferno	9–6	0.10	9%	27 Jul →
cache	14–16	0.07	15%	21 Jul →
dust2	13–8	0.07	14%	21 Jul →
anubis	13–7	0.02	8%	21 Jul →
inferno	13–10	0.02	10%	21 Jul →
cache	8–13	0.02	12%	20 Jul →
ancient	16–12	0.02	13%	20 Jul →
inferno	13–7	0.06	7%	20 Jul →
anubis	11–13	0.04	11%	20 Jul →
dust2	13–10	0.02	11%	20 Jul →
ancient	7–13	-0.04	9%	16 Jul →
inferno	3–13	0.00	14%	16 Jul →
dust2	13–7	0.07	4%	16 Jul →
cache	5–13	0.00	12%	16 Jul →
inferno	8–13	0.00	9%	16 Jul →
dust2	13–10	0.04	14%	12 Jul →
cache	13–6	0.03	8%	12 Jul →
ancient	13–6	0.02	5%	12 Jul →
inferno	8–13	0.02	8%	12 Jul →
inferno	13–3	0.09	13%	12 Jul →
dust2	4–13	0.02	22%	12 Jul →
inferno	9–7	-0.04	22%	12 Jul →
inferno	3–13	0.04	5%	10 Jul →
inferno	16–14	-0.00	11%	10 Jul →
anubis	10–13	0.02	16%	10 Jul →
dust2	13–4	0.09	13%	10 Jul →
ancient	5–13	-0.03	6%	9 Jul →
dust2	11–13	0.06	11%	9 Jul →
anubis	15–15	0.03	7%	9 Jul →
cache	13–2	0.02	12%	9 Jul →
dust2	9–13	-0.04	10%	9 Jul →
stronghold	8–13	-0.00	8%	6 Jul →
cache	13–6	0.08	15%	6 Jul →
dust2	16–14	-0.01	12%	6 Jul →
anubis	13–6	0.03	18%	6 Jul →
anubis	11–13	0.04	5%	4 Jul →
dust2	13–10	0.04	10%	4 Jul →
anubis	13–11	0.01	13%	4 Jul →