nomad ⛧ — CS2 Stats

FR76561198391168634[U:1:430902906]Steam profile ↗

1,194Tracked matches48%Win rate2023Tracked since

1,712Hours in CS10Hrs last 2 wks

CSDB Rating5.7 SolidAggressive Rifler

WingmanLegendary Eagle Master

Ladder ranks via Leetify

Performance scores

Aim70

Positioning65

Utility63

0–100 skill scores via Leetify.

Recent form

COLD48–44–8Last 10048%Win rateLLLLLWWTLW

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

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.0

Aggression10.0

Utility6.3

Positioning6.5

Opening Duels4.8

Clutch3.4

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 device 92% playstyle similarity

Most alike: positioning profile, 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 →

CSDB Rating breakdown

Aim7.0

Positioning6.5

Utility6.3

Mechanics5.0

Opening Duels4.8

Win Impact4.4

Composite 5.7/10 (Solid), 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 time536ms−23ms

first ⅓ avg 559ms → last ⅓ avg 536ms

Headshot accuracy18.2%−4.3%

first ⅓ avg 22.5% → last ⅓ avg 18.2%

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

0.10Best rating — dust2 13–7

13–2Biggest win — dust2

7Longest win streak

L5Current streak

8–11In matches decided by ≤2 rounds

5Overtime games

Map breakdown

dust2Best map · 48% over 82anubisWeakest map · 40% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	82	39–43	48%	0.00
anubis	C	5	2–3	40%	0.01
inferno	—	3	2–1	67%	0.01
ancient	—	3	1–2	33%	-0.05
nuke	—	2	1–1	50%	0.02
cache	—	2	2–0	100%	-0.01
mirage	—	1	1–0	100%	0.06
fachwerk	—	1	0–1	0%	-0.06
train	—	1	0–1	0%	-0.06

Across the last 100 tracked matches.

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

Lifetime stats

62,715Lifetime kills

1.06K/D · Top 50% of tracked players

3,219Matches

35.5%Match win rate

38.5%Headshot %

1.0%Shot accuracy

5,269MVPs

1,004Hours (in match)

1,960Bombs planted

784Bombs defused

Most-used weapons

AWP11,423

AK-479,304

M4A4 / M4A1-S6,307

Zeus x273,688

P2000 / USP-S2,717

MP92,108

Nova2,076

Glock-181,962

MP71,956

Desert Eagle1,922

Lifetime map wins

12,325dust2

1,307train

1,199inferno

942nuke

462vertigo

165ar_shoots

52ar_baggage

30office

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

Faceit stats

Combat

124Matches

61%Win rate

1.26Avg K/D

81.3ADR

41%Headshot %

Clutches & streaks

37%1v1 clutch win

24%1v2 clutch win

7Longest win streak

Recent Faceit resultsWWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	55	67%	1.30	16.7
Anubis	16	75%	1.40	14.1
Ancient	15	47%	1.22	19.2
Mirage	12	58%	1.14	13.7
Cache	8	38%	0.96	17.3
Nuke	7	71%	1.32	15.1
Inferno	7	43%	1.05	16.0
Overpass	4	50%	1.32	15.0

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.

17.8%Headshot accuracy

34.1%Accuracy (enemy spotted)

34.8%Spray accuracy

72.6%Counter-strafing

8.8°Preaim

530msReaction time

51.2%T opening success

47.5%CT opening success

0.64Enemies flashed / flash

8.1%Flash assists

9.13HE damage / grenade

11.22Flashes / match

Recommended for you

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.

40% win rate across 5 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	8–13	-0.02	16%	27 Aug →
dust2	9–13	-0.03	27%	19 Aug →
dust2	11–13	-0.03	22%	14 Aug →
dust2	7–13	-0.02	18%	12 Aug →
dust2	6–13	0.02	5%	11 Aug →
dust2	13–8	0.00	17%	11 Aug →
dust2	13–6	-0.02	3%	11 Aug →
dust2	12–12	0.04	14%	11 Aug →
dust2	11–13	0.04	18%	11 Aug →
dust2	13–5	0.06	11%	10 Aug →
dust2	9–13	0.02	29%	10 Aug →
dust2	13–11	-0.07	9%	9 Aug →
dust2	10–13	0.10	26%	7 Aug →
dust2	13–5	-0.00	16%	7 Aug →
dust2	4–13	-0.06	23%	7 Aug →
dust2	7–13	-0.02	8%	2 Aug →
dust2	13–8	0.07	21%	2 Aug →
dust2	7–13	0.00	23%	31 Jul →
dust2	10–13	-0.04	18%	31 Jul →
dust2	13–10	0.04	13%	26 Jul →
dust2	13–7	-0.01	25%	25 Jul →
dust2	12–12	-0.02	10%	24 Jul →
dust2	10–13	0.02	20%	24 Jul →
dust2	13–8	0.10	29%	24 Jul →
nuke	13–6	0.01	28%	22 Jul →
inferno	13–6	0.00	6%	22 Jul →
cache	13–9	0.00	28%	22 Jul →
dust2	12–12	0.04	18%	22 Jul →
mirage	13–3	0.06	22%	21 Jul →
dust2	6–13	-0.02	9%	21 Jul →
dust2	9–13	0.04	14%	21 Jul →
dust2	8–13	0.07	27%	20 Jul →
dust2	3–13	-0.05	30%	20 Jul →
dust2	13–10	-0.01	22%	19 Jul →
dust2	16–12	-0.05	24%	19 Jul →
dust2	5–13	0.01	27%	18 Jul →
dust2	13–3	0.10	23%	18 Jul →
dust2	11–13	0.03	20%	18 Jul →
dust2	5–13	-0.08	36%	15 Jul →
inferno	14–16	0.02	17%	13 Jul →
anubis	15–15	-0.01	22%	13 Jul →
inferno	16–13	0.01	20%	13 Jul →
dust2	5–13	-0.06	18%	13 Jul →
dust2	12–12	-0.07	29%	12 Jul →
ancient	14–16	-0.04	22%	12 Jul →
dust2	11–13	-0.04	14%	11 Jul →
anubis	8–13	0.01	13%	11 Jul →
anubis	5–13	-0.01	15%	10 Jul →
dust2	13–8	-0.00	24%	10 Jul →
dust2	13–5	0.06	26%	10 Jul →
fachwerk	8–13	-0.06	14%	10 Jul →
dust2	12–12	0.04	25%	10 Jul →
dust2	13–5	0.06	18%	10 Jul →
dust2	13–7	-0.07	28%	6 Jul →
dust2	13–11	0.08	13%	6 Jul →
dust2	13–11	-0.03	12%	6 Jul →
dust2	9–13	-0.00	27%	6 Jul →
dust2	13–11	-0.01	14%	6 Jul →
dust2	13–10	0.00	17%	6 Jul →
dust2	11–13	-0.02	10%	5 Jul →
dust2	13–9	-0.00	18%	5 Jul →
dust2	13–9	0.10	29%	5 Jul →
dust2	13–2	-0.08	0%	5 Jul →
dust2	11–13	0.02	22%	5 Jul →
dust2	13–8	0.01	23%	4 Jul →
dust2	13–11	0.02	31%	4 Jul →
anubis	13–7	0.04	46%	4 Jul →
anubis	13–8	0.03	26%	4 Jul →
dust2	13–10	-0.04	20%	4 Jul →
cache	13–6	-0.02	13%	3 Jul →
dust2	13–4	-0.00	31%	1 Jul →
dust2	6–13	-0.03	15%	1 Jul →
dust2	7–13	-0.01	31%	30 Jun →
dust2	10–13	-0.05	50%	28 Jun →
dust2	13–5	-0.05	26%	28 Jun →
dust2	13–8	-0.03	13%	27 Jun →
dust2	13–8	-0.03	14%	27 Jun →
nuke	5–13	0.04	28%	27 Jun →
ancient	13–2	0.00	27%	22 Jun →
dust2	13–2	0.05	13%	22 Jun →
dust2	12–12	-0.07	13%	22 Jun →
dust2	11–13	0.03	12%	21 Jun →
dust2	9–13	0.05	30%	21 Jun →
dust2	13–7	0.10	27%	21 Jun →
dust2	13–5	-0.01	23%	20 Jun →
dust2	11–13	-0.01	18%	20 Jun →
dust2	11–13	0.03	30%	20 Jun →
dust2	5–13	-0.04	29%	20 Jun →
dust2	8–13	0.01	35%	15 Jun →
dust2	13–2	0.10	18%	15 Jun →
dust2	7–6	-0.08	10%	15 Jun →
dust2	13–5	0.06	29%	15 Jun →
dust2	12–12	-0.04	22%	14 Jun →
train	6–13	-0.06	0%	13 Jun →
dust2	5–13	0.03	28%	13 Jun →
dust2	13–11	-0.01	20%	12 Jun →
ancient	0–13	-0.11	22%	12 Jun →
dust2	13–11	0.01	37%	12 Jun →
dust2	8–13	-0.03	14%	12 Jun →
dust2	13–6	0.02	22%	12 Jun →