danzera — CS2 Stats

FI76561198785896294[U:1:825630566]Steam profile ↗✓ No bans

284Tracked matches80%Win rate2025Tracked since

315Hours in CS5Hrs last 2 wks

CSDB Rating4.4 Developing

Premier CS Rating26,392Top 25% of 819 CSDB-tracked playersRed band · top ~2.3% of ranked players (population est.)

CSDB Leaderboard#1080 of 11936 tracked

Ladder ranks via Leetify

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Performance scores

Aim46

Positioning31

Utility48

0–100 skill scores via Leetify.

Recent form

HOT66–27–7Last 10066%Win rateLWWLWWWWWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim4.6

Aggression0.5

Utility4.8

Positioning3.1

Opening Duels0.0

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 NiKo 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 580ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.6

Positioning3.1

Utility4.8

Mechanics3.0

Opening Duels0.0

Win Impact10.0

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01

first ⅓ avg -0.00 → last ⅓ avg -0.02

Reaction time576ms+1ms

first ⅓ avg 575ms → last ⅓ avg 576ms

Headshot accuracy10.6%−2.7%

first ⅓ avg 13.3% → last ⅓ avg 10.6%

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

0.09Best rating — dust2 13–4

13–1Biggest win — anubis

12Longest win streak

7–7In matches decided by ≤2 rounds

3Overtime games

Map breakdown

mirageBest map · 81% over 16ancientWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	S	29	22–7	76%	-0.00
cache	A	18	10–8	56%	-0.02
mirage	S	16	13–3	81%	-0.03
anubis	A	11	7–4	64%	-0.02
inferno	B	8	4–4	50%	-0.03
nuke	A	5	3–2	60%	0.01
ancient	C	5	2–3	40%	-0.02
vertigo	—	3	1–2	33%	0.00
overpass	—	2	1–1	50%	0.07
train	—	2	2–0	100%	0.06
fachwerk	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,302Lifetime kills

0.97K/D

500Matches

50.6%Match win rate · Top 25% of tracked players

36.0%Headshot %

0.0%Shot accuracy

1,152MVPs

159Hours (in match)

619Bombs planted

102Bombs defused

Most-used weapons

AK-472,770

M4A4 / M4A1-S2,158

MAC-10509

AWP455

MP9455

P2000 / USP-S369

Glock-18341

Galil AR244

XM1014188

AUG112

Lifetime map wins

1,342dust2

436inferno

288nuke

271train

263vertigo

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.

11.1%Headshot accuracy

31.4%Accuracy (enemy spotted)

37.9%Spray accuracy

63.7%Counter-strafing

9.4°Preaim

580msReaction time

15.3%T opening success

23.7%CT opening success

0.62Enemies flashed / flash

5.5%Flash assists

9.26HE damage / grenade

2.02Flashes / 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 11.0514% — below the 15% mark we flag
Aim Training →
Grenades & Utility
You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.
Flashes per match 2.0173 — below the 4 mark we flag
Grenade Lineups →
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 15.2941% — below the 40% mark we flag

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.

40% win rate across 5 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	5–13	-0.09	10%	23 Aug →
mirage	13–11	0.03	10%	23 Aug →
anubis	13–1	0.03	5%	22 Aug →
mirage	11–13	-0.03	12%	22 Aug →
dust2	13–10	-0.07	6%	22 Aug →
overpass	13–4	0.07	8%	22 Aug →
mirage	13–10	-0.07	22%	22 Aug →
mirage	13–4	-0.06	4%	11 Aug →
mirage	13–4	-0.01	11%	31 Jul →
anubis	13–9	-0.07	10%	31 Jul →
cache	13–7	-0.01	2%	31 Jul →
dust2	13–6	-0.00	17%	31 Jul →
dust2	13–8	-0.09	11%	31 Jul →
mirage	13–11	-0.06	13%	31 Jul →
mirage	13–4	-0.04	20%	28 Jul →
dust2	13–7	-0.02	14%	27 Jul →
anubis	9–13	-0.03	14%	27 Jul →
mirage	13–2	0.02	0%	27 Jul →
cache	13–8	0.05	13%	26 Jul →
dust2	0–13	-0.06	0%	26 Jul →
dust2	13–9	-0.04	15%	25 Jul →
dust2	13–1	0.02	5%	25 Jul →
dust2	13–11	-0.02	19%	25 Jul →
dust2	13–1	0.06	13%	25 Jul →
nuke	13–3	0.03	3%	24 Jul →
dust2	13–4	0.07	10%	24 Jul →
cache	3–13	-0.08	24%	24 Jul →
mirage	9–13	-0.04	9%	19 Jul →
cache	13–8	0.03	12%	19 Jul →
ancient	13–7	-0.02	9%	18 Jul →
inferno	6–13	-0.05	8%	18 Jul →
anubis	12–12	0.03	8%	18 Jul →
dust2	13–10	0.02	14%	18 Jul →
anubis	13–8	-0.03	10%	16 Jul →
dust2	13–4	0.05	12%	15 Jul →
fachwerk	13–7	-0.01	14%	9 Jul →
dust2	13–2	0.02	13%	9 Jul →
cache	1–13	-0.04	10%	8 Jul →
cache	5–13	-0.09	5%	8 Jul →
dust2	6–13	-0.06	8%	30 Jun →
mirage	12–12	-0.04	17%	30 Jun →
cache	13–7	-0.01	3%	28 Jun →
mirage	13–11	-0.05	9%	28 Jun →
cache	13–4	0.08	18%	28 Jun →
train	13–8	0.03	13%	28 Jun →
dust2	13–10	-0.02	25%	28 Jun →
anubis	10–13	-0.05	15%	28 Jun →
cache	13–6	-0.05	14%	26 Jun →
dust2	4–7	0.02	12%	24 Jun →
nuke	7–13	0.02	8%	24 Jun →
dust2	14–16	-0.02	18%	23 Jun →
dust2	13–10	-0.05	11%	23 Jun →
nuke	15–15	0.02	9%	21 Jun →
dust2	13–10	0.04	23%	21 Jun →
nuke	13–11	-0.04	7%	21 Jun →
ancient	14–16	-0.03	18%	19 Jun →
dust2	13–7	0.07	24%	19 Jun →
cache	9–13	-0.07	11%	18 Jun →
cache	9–13	-0.07	12%	12 Jun →
anubis	6–13	-0.07	9%	12 Jun →
mirage	13–8	-0.03	12%	12 Jun →
vertigo	11–13	0.04	14%	12 Jun →
cache	11–13	0.01	12%	9 Jun →
dust2	8–13	0.00	11%	9 Jun →
cache	12–12	-0.04	7%	7 May →
cache	13–5	-0.05	15%	6 May →
cache	13–5	0.02	10%	6 May →
cache	13–5	0.06	14%	1 May →
cache	13–10	-0.01	12%	30 Apr →
cache	12–12	-0.03	11%	30 Apr →
dust2	13–5	-0.04	8%	24 Apr →
nuke	13–8	0.00	13%	22 Apr →
ancient	12–12	-0.05	7%	21 Apr →
inferno	4–0	-0.04	0%	21 Apr →
dust2	11–13	-0.04	8%	20 Apr →
vertigo	13–9	0.01	17%	14 Apr →
dust2	13–5	-0.08	12%	14 Apr →
inferno	13–6	-0.05	24%	28 Mar →
ancient	11–4	0.00	13%	28 Mar →
mirage	13–8	0.02	14%	28 Mar →
dust2	13–4	0.09	26%	28 Mar →
anubis	13–11	-0.08	2%	24 Mar →
dust2	13–5	-0.05	9%	24 Mar →
inferno	5–13	-0.04	19%	17 Mar →
anubis	13–7	-0.02	12%	16 Mar →
dust2	13–6	0.08	27%	16 Mar →
mirage	13–5	0.01	25%	16 Mar →
overpass	3–13	0.07	11%	12 Mar →
train	13–6	0.09	10%	12 Mar →
anubis	13–9	0.00	11%	12 Mar →
inferno	13–3	0.01	11%	12 Mar →
vertigo	9–13	-0.04	8%	9 Mar →
anubis	13–7	0.02	22%	9 Mar →
ancient	12–12	-0.00	15%	8 Mar →
inferno	9–4	0.06	14%	6 Mar →
inferno	2–7	-0.06	5%	28 Feb →
dust2	13–5	0.01	19%	28 Feb →
mirage	13–7	0.00	21%	27 Feb →
dust2	11–13	-0.02	14%	25 Feb →
mirage	13–11	-0.05	7%	22 Feb →