D Σ M I Ƨ Σ — CS2 Stats

76561199874146231[U:1:1913880503]✓ No bans

383Tracked matches59%Win rate2025Tracked since

285Hours in CS5Hrs last 2 wks

CSDB Rating6.1 SolidHybrid Rifler

Ladder ranks via Leetify

Performance scores

Aim69

Positioning47

Utility60

0–100 skill scores via Leetify.

Recent form

STEADY50–42–8Last 10050%Win rateWLTLWLLWLW

Last 10 vs previous 10: -30pp win rate · -0.09 avg rating

Player DNA

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

Aim6.9

Aggression6.4

Utility6.0

Positioning4.7

Opening Duels3.1

Strong CT-side opener

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 b1t 89% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 53% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Aim6.9

Positioning4.7

Utility6.0

Mechanics6.8

Opening Duels3.1

Win Impact8.1

Composite 6.1/10 (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 0.03 → last ⅓ avg 0.01

Reaction time628ms−46ms

first ⅓ avg 673ms → last ⅓ avg 628ms

Headshot accuracy19.6%−0.6%

first ⅓ avg 20.2% → last ⅓ avg 19.6%

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

0.16Best rating — inferno 13–10

13–2Biggest win — anubis

6Longest win streak

9–8In matches decided by ≤2 rounds

4Overtime games

Map breakdown

cacheBest map · 58% over 19infernoWeakest map · 42% over 12

Map	Grade	Played	Record	Win rate	Avg rating
cache	A	19	11–8	58%	0.02
mirage	B	18	9–9	50%	0.00
nuke	C	14	6–8	43%	0.02
inferno	C	12	5–7	42%	0.04
dust2	A	9	5–4	56%	0.02
office	C	9	4–5	44%	0.02
ancient	A	7	4–3	57%	0.00
anubis	—	4	2–2	50%	0.05
overpass	—	3	0–3	0%	-0.01
train	—	3	2–1	67%	0.08
vertigo	—	2	2–0	100%	0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,961Lifetime kills

1.06K/D · Top 50% of tracked players

531Matches

43.7%Match win rate

51.2%Headshot % · Top 50% of tracked players

0.0%Shot accuracy

1,151MVPs

178Hours (in match)

276Bombs planted

153Bombs defused

Most-used weapons

AK-473,841

M4A4 / M4A1-S1,415

Desert Eagle890

AWP694

P2000 / USP-S469

Glock-18348

Sawed-Off205

MP9194

SSG 08165

MAG-7164

Lifetime map wins

684inferno

592nuke

480dust2

306office

204train

115vertigo

5ar_shoots

5ar_baggage

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.

19.5%Headshot accuracy

34.9%Accuracy (enemy spotted)

35.8%Spray accuracy

80.5%Counter-strafing

9.5°Preaim

618msReaction time

31.7%T opening success

53.4%CT opening success

0.61Enemies flashed / flash

6.4%Flash assists

8.41HE damage / grenade

15.53Flashes / 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 31.6842% — below the 40% mark we flag

Spend your practice time on Inferno

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
cache	13–11	-0.01	18%	29 Aug →
mirage	10–13	-0.05	14%	28 Aug →
dust2	15–15	-0.04	24%	28 Aug →
mirage	1–13	-0.10	14%	25 Aug →
mirage	16–14	-0.01	8%	23 Aug →
mirage	3–13	-0.08	20%	16 Aug →
cache	11–13	0.05	29%	10 Aug →
ancient	13–11	-0.03	10%	8 Aug →
mirage	11–13	-0.04	8%	6 Aug →
ancient	13–3	0.01	15%	6 Aug →
anubis	15–15	-0.03	15%	4 Aug →
nuke	10–13	0.10	28%	2 Aug →
vertigo	13–10	0.00	26%	2 Aug →
mirage	13–10	0.12	21%	29 Jul →
cache	5–13	0.03	18%	29 Jul →
ancient	13–9	0.05	15%	27 Jul →
inferno	13–11	0.00	13%	25 Jul →
cache	13–11	-0.03	2%	25 Jul →
anubis	13–2	0.14	19%	22 Jul →
inferno	13–10	0.16	19%	18 Jul →
inferno	11–13	0.10	31%	12 Jul →
office	13–10	0.03	28%	12 Jul →
office	13–10	0.02	22%	8 Jul →
cache	10–13	-0.02	16%	8 Jul →
office	12–12	0.01	19%	8 Jul →
inferno	13–10	0.11	23%	2 Jul →
nuke	10–13	-0.01	28%	30 Jun →
nuke	13–3	0.03	36%	27 Jun →
dust2	13–9	0.04	21%	27 Jun →
inferno	11–13	-0.02	24%	27 Jun →
nuke	13–7	-0.00	19%	25 Jun →
nuke	12–16	-0.02	29%	25 Jun →
nuke	9–13	-0.01	13%	22 Jun →
mirage	13–6	0.04	22%	21 Jun →
dust2	10–13	0.02	18%	21 Jun →
nuke	13–3	-0.01	20%	18 Jun →
mirage	13–9	-0.04	13%	18 Jun →
ancient	4–13	-0.04	28%	17 Jun →
inferno	13–9	-0.04	24%	14 Jun →
overpass	5–13	-0.00	16%	13 Jun →
ancient	13–4	-0.02	16%	13 Jun →
anubis	12–12	0.06	21%	13 Jun →
mirage	11–13	-0.02	13%	13 Jun →
cache	13–9	0.05	26%	11 Jun →
cache	13–10	0.07	19%	10 Jun →
train	13–5	0.10	22%	10 Jun →
dust2	13–3	0.06	18%	7 Jun →
mirage	8–13	0.04	29%	7 Jun →
dust2	7–13	-0.04	23%	7 Jun →
dust2	11–13	0.08	15%	6 Jun →
mirage	5–13	-0.00	15%	6 Jun →
mirage	13–11	0.00	18%	6 Jun →
inferno	11–13	0.05	19%	6 Jun →
nuke	10–13	-0.04	15%	6 Jun →
dust2	13–6	0.01	21%	5 Jun →
ancient	12–12	-0.02	21%	5 Jun →
dust2	13–2	0.05	14%	5 Jun →
mirage	13–8	0.05	52%	3 Jun →
inferno	6–13	0.02	29%	2 Jun →
cache	6–13	-0.01	25%	2 Jun →
cache	13–6	0.10	16%	30 May →
mirage	13–9	0.04	25%	28 May →
office	13–4	0.04	13%	21 May →
mirage	12–1	-0.00	5%	21 May →
nuke	8–3	0.11	20%	21 May →
cache	13–6	0.08	19%	20 May →
inferno	7–13	-0.05	13%	20 May →
ancient	9–13	0.06	18%	20 May →
office	4–13	-0.04	12%	19 May →
office	9–13	0.02	22%	19 May →
inferno	8–13	0.01	6%	19 May →
cache	3–13	-0.04	29%	18 May →
mirage	13–4	-0.03	15%	18 May →
inferno	9–13	0.07	24%	18 May →
nuke	13–4	0.11	31%	18 May →
nuke	13–11	0.06	27%	14 May →
cache	3–13	-0.02	30%	14 May →
mirage	10–13	0.10	16%	13 May →
cache	11–13	0.04	14%	8 May →
office	13–4	0.15	15%	8 May →
cache	13–10	0.04	16%	6 May →
cache	13–8	0.01	31%	6 May →
office	6–13	-0.04	13%	5 May →
cache	13–3	0.07	24%	3 May →
cache	13–9	-0.04	21%	2 May →
cache	2–13	-0.04	23%	29 Apr →
cache	7–2	0.07	23%	29 Apr →
nuke	10–13	0.04	5%	29 Apr →
dust2	13–11	0.02	0%	22 Apr →
train	13–7	0.04	24%	22 Apr →
inferno	13–11	0.06	37%	20 Apr →
mirage	5–13	0.05	18%	20 Apr →
nuke	12–12	-0.01	14%	16 Apr →
office	12–12	0.02	25%	11 Apr →
overpass	12–12	0.05	17%	8 Apr →
vertigo	6–1	0.11	42%	6 Apr →
train	7–13	0.10	22%	6 Apr →
anubis	13–4	0.02	10%	6 Apr →
nuke	2–13	-0.01	16%	6 Apr →
overpass	4–13	-0.09	24%	5 Apr →