danizera19 — CS2 Stats

BR76561198096565234[U:1:136299506]Steam profile ↗✓ No bans

221Tracked matches30%Win rate2020Tracked since

4,225Hours in CS25Hrs last 2 wks

CSDB Rating5.5 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim65

Positioning50

Utility79

0–100 skill scores via Leetify.

Recent form

COLD45–49–6Last 10045%Win rateTLLWLLLWTW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.5

Aggression6.8

Utility7.9

Positioning5.0

Opening Duels3.4

High utility contribution

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 88% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Strengths

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

Reaction time. 606ms 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

Aim6.5

Positioning5.0

Utility7.9

Mechanics6.7

Opening Duels3.4

Win Impact0.0

Composite 5.5/10 (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 rating0.01+0.01

first ⅓ avg -0.00 → last ⅓ avg 0.01

Reaction time608ms−8ms

first ⅓ avg 616ms → last ⅓ avg 608ms

Headshot accuracy16.5%+3.3%

first ⅓ avg 13.2% → last ⅓ avg 16.5%

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

0.31Best rating — inferno 9–1

13–1Biggest win — dust2

7Longest win streak

6–5In matches decided by ≤2 rounds

3Overtime games

Map breakdown

cacheBest map · 75% over 8anubisWeakest map · 33% over 9

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	26	11–15	42%	0.01
mirage	B	25	12–13	48%	0.01
inferno	B	19	9–10	47%	0.04
anubis	D	9	3–6	33%	-0.01
cache	S	8	6–2	75%	0.01
nuke	C	7	3–4	43%	-0.02
ancient	—	3	1–2	33%	0.03
overpass	—	2	0–2	0%	0.04
train	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

117,980Lifetime kills

1.09K/D · Top 50% of tracked players

6,167Matches

52.3%Match win rate · Top 10% of tracked players

39.0%Headshot %

11.5%Shot accuracy

10,724MVPs

2,289Hours (in match)

4,268Bombs planted

937Bombs defused

Most-used weapons

AK-4736,923

M4A4 / M4A1-S17,902

AWP11,689

MAC-108,413

MP95,136

Desert Eagle4,787

P2000 / USP-S4,536

Glock-184,372

Tec-94,098

FAMAS3,213

Lifetime map wins

14,822inferno

8,718dust2

4,363vertigo

1,892train

1,746nuke

21assault

21cbble

18lake

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.

16.7%Headshot accuracy

37.3%Accuracy (enemy spotted)

43.3%Spray accuracy

80.2%Counter-strafing

13.2°Preaim

606msReaction time

47.1%T opening success

40.2%CT opening success

0.62Enemies flashed / flash

16.1%Flash assists

9.87HE damage / grenade

14.58Flashes / 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 13.1727° — above the 12° mark we flag
Aim Training →

Spend your practice time on Anubis

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	12–12	0.04	15%	28 Aug →
cache	9–13	-0.00	20%	28 Aug →
anubis	0–13	-0.09	4%	22 Aug →
dust2	13–6	0.04	18%	21 Aug →
mirage	7–13	-0.01	9%	21 Aug →
nuke	9–13	-0.03	11%	17 Aug →
inferno	1–13	-0.06	17%	17 Aug →
dust2	13–3	-0.04	34%	16 Aug →
dust2	12–12	-0.03	12%	14 Aug →
inferno	13–7	0.06	15%	14 Aug →
dust2	7–13	-0.07	13%	8 Aug →
dust2	6–13	0.05	22%	8 Aug →
cache	13–5	0.09	36%	8 Aug →
inferno	10–13	0.07	14%	8 Aug →
dust2	2–13	-0.07	12%	6 Aug →
mirage	13–10	0.06	19%	6 Aug →
ancient	7–13	0.00	11%	5 Aug →
anubis	13–7	0.01	11%	22 Jul →
mirage	8–13	-0.04	14%	22 Jul →
inferno	7–13	0.03	14%	19 Jul →
dust2	13–9	0.06	19%	19 Jul →
mirage	9–13	0.05	21%	14 Jul →
dust2	2–13	0.04	21%	14 Jul →
anubis	4–13	0.04	10%	13 Jul →
dust2	2–13	-0.06	16%	13 Jul →
inferno	6–13	0.05	18%	13 Jul →
dust2	12–12	-0.01	21%	11 Jul →
cache	13–7	0.01	30%	11 Jul →
inferno	7–13	-0.01	11%	11 Jul →
mirage	5–13	-0.04	13%	10 Jul →
mirage	13–8	0.05	15%	2 Jul →
dust2	12–12	0.05	16%	1 Jul →
dust2	8–13	-0.04	10%	12 Jun →
nuke	4–13	0.02	8%	12 Jun →
inferno	13–9	0.08	7%	12 Jun →
anubis	8–13	-0.03	15%	6 Jun →
mirage	7–13	0.03	7%	6 Jun →
dust2	13–11	0.01	13%	6 Jun →
ancient	9–13	0.03	13%	4 Jun →
mirage	9–13	-0.01	14%	4 Jun →
dust2	13–9	0.00	16%	30 May →
anubis	8–13	-0.01	8%	28 May →
cache	13–7	-0.02	15%	28 May →
nuke	13–8	-0.05	9%	28 May →
inferno	13–4	0.03	10%	28 May →
dust2	13–10	0.03	22%	28 May →
mirage	13–11	0.02	10%	28 May →
cache	13–9	0.04	6%	27 May →
mirage	10–6	0.07	17%	27 May →
mirage	9–13	0.00	13%	27 May →
nuke	13–7	0.03	13%	26 May →
dust2	13–1	0.16	10%	25 May →
inferno	5–13	-0.07	24%	25 May →
mirage	8–13	0.07	17%	24 May →
inferno	13–6	0.09	17%	24 May →
mirage	13–3	0.03	13%	24 May →
inferno	13–16	0.04	13%	23 May →
inferno	13–10	0.01	8%	22 May →
anubis	11–13	0.04	12%	22 May →
dust2	13–7	0.03	9%	22 May →
mirage	10–13	0.00	11%	19 May →
inferno	9–1	0.31	12%	18 May →
mirage	13–8	0.00	16%	17 May →
dust2	3–13	-0.00	22%	17 May →
dust2	13–11	0.03	13%	17 May →
inferno	4–7	0.02	10%	17 May →
anubis	13–10	0.06	7%	17 May →
inferno	13–9	0.00	11%	16 May →
overpass	6–13	0.00	8%	16 May →
inferno	13–9	-0.02	11%	16 May →
inferno	8–13	-0.02	13%	16 May →
ancient	13–5	0.06	20%	16 May →
mirage	16–14	-0.03	14%	15 May →
mirage	2–1	0.07	11%	9 May →
cache	13–7	0.01	21%	9 May →
cache	13–4	0.02	21%	8 May →
cache	4–13	-0.04	6%	28 Apr →
overpass	7–13	0.07	6%	6 Mar →
mirage	11–13	0.02	14%	6 Mar →
dust2	13–10	-0.07	16%	28 Nov →
inferno	13–10	0.11	14%	21 Nov →
dust2	4–7	0.05	10%	9 Aug →
mirage	12–12	-0.05	5%	10 Jul →
mirage	13–1	-0.00	21%	6 Jul →
nuke	14–16	-0.02	12%	30 Jun →
dust2	9–13	0.05	26%	23 Jun →
mirage	13–11	-0.01	12%	23 Jun →
dust2	9–13	-0.04	17%	22 Jun →
anubis	13–4	-0.02	8%	22 Jun →
mirage	8–0	0.02	15%	22 Jun →
dust2	13–9	-0.01	25%	15 Jun →
anubis	8–13	-0.07	9%	15 Jun →
inferno	12–12	0.00	13%	14 Jun →
mirage	3–13	-0.02	8%	14 Jun →
nuke	13–6	-0.03	5%	8 Jun →
mirage	1–13	-0.07	14%	7 Jun →
mirage	13–2	0.08	9%	3 Jun →
train	11–13	-0.06	15%	2 Jun →
nuke	11–13	-0.03	14%	2 Jun →
dust2	7–13	-0.04	13%	31 May →