Dante — CS2 Stats

76561199370413074[U:1:1410147346]Steam profile ↗

496Tracked matches53%Win rate2023Tracked since

485Hours in CS17Hrs last 2 wks

CSDB Rating3.9 Learning

Premier CS Rating11,455Blue band · top ~47.2% of ranked players (population est.)

CSDB Leaderboard#11763 of 16392 tracked

Ladder ranks via Leetify

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Performance scores

Aim42

Positioning63

Utility8

0–100 skill scores via Leetify.

Recent form

STEADY49–50–1Last 10049%Win rateLLWWLWWWLW

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

Player DNA

Aim4.2

Aggression8.1

Utility0.8

Positioning6.3

Opening Duels4.5

Clutch0.0

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 ropz 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 61% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 589ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 61% 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

Aim4.2

Positioning6.3

Utility0.8

Mechanics2.5

Opening Duels4.5

Win Impact6.1

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 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 time589ms−24ms

first ⅓ avg 613ms → last ⅓ avg 589ms

Headshot accuracy14.9%+4.3%

first ⅓ avg 10.6% → last ⅓ avg 14.9%

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

0.13Best rating — nuke 13–5

13–2Biggest win — inferno

4Longest win streak

L2Current streak

2–10In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 67% over 15anubisWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	C	26	11–15	42%	-0.00
mirage	A	25	15–10	60%	0.01
inferno	C	18	7–11	39%	-0.01
cache	S	15	10–5	67%	0.03
ancient	C	8	3–5	38%	0.02
anubis	D	7	2–5	29%	0.02
nuke	—	1	1–0	100%	0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,986Lifetime kills

1.12K/D · Top 50% of tracked players

600Matches

50.2%Match win rate · Top 25% of tracked players

34.4%Headshot %

2.7%Shot accuracy

1,539MVPs

229Hours (in match)

596Bombs planted

132Bombs defused

Most-used weapons

AK-472,080

AWP1,925

M4A4 / M4A1-S1,503

AUG771

P2000 / USP-S536

Negev526

SG 553349

Desert Eagle287

MP7270

Glock-18266

Lifetime map wins

1,361dust2

1,024inferno

462train

429nuke

203office

108vertigo

5italy

1ar_baggage

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

Faceit stats

Combat

10Matches

40%Win rate

1.05Avg K/D

85.8ADR

30%Headshot %

Clutches & streaks

0%1v1 clutch win

22%1v2 clutch win

4Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	4	25%	0.88	13.0
Train	2	50%	1.34	20.5
Nuke	2	50%	0.94	15.5
Dust2	1	100%	1.59	27.0
Inferno	1	0%	0.80	12.0

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.

14.4%Headshot accuracy

31.4%Accuracy (enemy spotted)

33.5%Spray accuracy

61.3%Counter-strafing

9.9°Preaim

589msReaction time

35.3%T opening success

60.7%CT opening success

0.15Enemies flashed / flash

0.0%Flash assists

2.98HE damage / grenade

0.75Flashes / 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 14.423% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.1457 — below the 0.5 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 35.28% — below the 40% mark we flag

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.

29% win rate across 7 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	6–13	-0.07	9%	28 Aug →
dust2	7–13	-0.01	22%	27 Aug →
mirage	13–10	0.01	17%	26 Aug →
cache	16–13	0.07	12%	26 Aug →
mirage	9–13	-0.01	4%	24 Aug →
mirage	13–8	0.06	13%	24 Aug →
dust2	13–5	-0.01	11%	24 Aug →
mirage	13–9	0.03	11%	24 Aug →
dust2	10–13	-0.00	20%	23 Aug →
cache	13–9	0.00	18%	23 Aug →
inferno	13–10	0.01	20%	23 Aug →
dust2	6–13	-0.03	27%	23 Aug →
mirage	13–5	0.01	4%	23 Aug →
dust2	13–8	0.07	24%	23 Aug →
ancient	7–13	-0.05	10%	23 Aug →
inferno	13–2	0.07	17%	23 Aug →
inferno	11–13	0.00	16%	20 Aug →
inferno	12–16	0.01	10%	18 Aug →
mirage	13–9	-0.01	19%	18 Aug →
mirage	13–9	-0.02	22%	18 Aug →
dust2	7–13	0.02	10%	18 Aug →
dust2	9–13	0.03	6%	17 Aug →
mirage	3–13	-0.00	17%	10 Aug →
dust2	10–13	-0.02	7%	10 Aug →
ancient	13–9	0.03	14%	9 Aug →
dust2	11–13	-0.00	13%	9 Aug →
mirage	13–10	-0.02	16%	9 Aug →
mirage	13–7	0.08	14%	9 Aug →
dust2	13–10	0.01	17%	9 Aug →
anubis	11–13	0.00	16%	9 Aug →
dust2	13–4	0.02	16%	9 Aug →
cache	13–4	0.08	16%	9 Aug →
anubis	13–9	0.04	25%	9 Aug →
inferno	13–16	-0.02	9%	9 Aug →
anubis	7–13	-0.00	9%	7 Aug →
inferno	1–13	-0.01	14%	6 Aug →
ancient	13–7	0.04	8%	6 Aug →
nuke	13–5	0.13	11%	6 Aug →
dust2	10–13	-0.07	21%	4 Aug →
inferno	10–13	-0.00	41%	4 Aug →
mirage	11–13	0.05	10%	31 Jul →
cache	13–10	0.10	15%	31 Jul →
inferno	10–13	-0.06	14%	30 Jul →
mirage	13–10	-0.03	14%	29 Jul →
cache	13–4	0.07	10%	29 Jul →
dust2	13–8	-0.04	28%	29 Jul →
anubis	14–16	0.09	17%	28 Jul →
dust2	13–7	0.06	17%	28 Jul →
inferno	13–11	-0.02	16%	28 Jul →
ancient	11–13	-0.00	16%	28 Jul →
anubis	13–6	0.05	14%	28 Jul →
cache	10–13	-0.01	11%	26 Jul →
inferno	13–5	0.02	12%	26 Jul →
mirage	13–2	0.04	11%	26 Jul →
dust2	13–7	0.03	9%	26 Jul →
ancient	11–13	0.02	15%	26 Jul →
dust2	6–13	-0.01	13%	24 Jul →
mirage	9–13	0.04	8%	24 Jul →
ancient	9–13	0.06	13%	24 Jul →
cache	8–13	0.05	21%	24 Jul →
mirage	16–13	0.05	17%	24 Jul →
mirage	7–13	-0.03	14%	24 Jul →
anubis	6–13	-0.01	13%	24 Jul →
ancient	7–13	0.02	9%	23 Jul →
inferno	7–13	-0.02	16%	23 Jul →
cache	3–13	0.01	12%	23 Jul →
dust2	15–15	-0.03	12%	23 Jul →
dust2	13–9	-0.03	16%	23 Jul →
cache	13–8	0.08	11%	22 Jul →
cache	8–13	-0.06	5%	22 Jul →
inferno	4–13	-0.04	0%	22 Jul →
mirage	16–13	0.02	25%	22 Jul →
dust2	7–13	-0.06	10%	21 Jul →
mirage	11–13	-0.08	16%	20 Jul →
mirage	13–2	0.02	6%	20 Jul →
dust2	13–16	0.00	13%	20 Jul →
inferno	13–9	0.01	12%	20 Jul →
dust2	13–2	0.07	9%	20 Jul →
cache	16–13	-0.00	11%	20 Jul →
inferno	7–13	-0.04	8%	19 Jul →
inferno	10–13	-0.09	9%	17 Jul →
ancient	13–6	0.03	11%	17 Jul →
dust2	13–11	0.06	9%	17 Jul →
mirage	13–9	0.07	10%	16 Jul →
inferno	13–9	-0.00	7%	16 Jul →
dust2	6–13	-0.06	11%	16 Jul →
mirage	11–13	0.01	16%	16 Jul →
mirage	7–13	-0.01	12%	11 Jul →
inferno	11–13	-0.05	5%	10 Jul →
cache	4–13	-0.05	18%	10 Jul →
anubis	5–13	-0.03	11%	10 Jul →
cache	13–9	0.03	13%	10 Jul →
cache	13–6	0.03	11%	10 Jul →
inferno	13–10	0.05	10%	10 Jul →
mirage	9–13	0.00	8%	9 Jul →
dust2	1–13	-0.01	11%	9 Jul →
dust2	13–4	0.06	6%	9 Jul →
cache	16–13	0.10	14%	9 Jul →
mirage	13–9	0.01	11%	9 Jul →
mirage	13–16	0.02	9%	9 Jul →