Razzmo — CS2 Stats

PRO“X_r4zZm0_X”NakamaFranceRiflerSettings & gear profile →

FR76561198175853018[U:1:215587290]Steam profile ↗✓ No bans

2,472Tracked matches55%Win rate2020Tracked since

13,241Hours in CS30Hrs last 2 wks

CSDB Rating8.2 StrongOpening Duellist

Premier CS Rating24,999Top 25% of 208,191 CSDB-tracked playersPink band · top ~3% of ranked players (population est.)

CSDB Leaderboard#22424 of 255360 tracked

FaceitLevel 10Top 12.4% of ranked FACEIT players

WingmanThe Global Elite

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,999 -5,000 18 Apr – 19 Oct · 26 days played

30,100Peak Premier in tracked matches

46Days played since 2026-04-18

Premier CS Rating

5,000 below peak (29,999)
0 over 30 days · steady
Next: Red band at 25,000 — 1 to go
Reached: Red band · Pink band · Purple band · Blue band
Pink band first seen 2026-08-29
Purple band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,061), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 10 median
Headshot rate	66.7%	50.9%
Shot accuracy	17.9%	13.7%
Kill/death ratio	1.14	1.09
Match win rate	43.5%	48.4%

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Performance scores

Aim96

Positioning87

Utility57

0–100 skill scores via Leetify.

Recent form

HOT50–47–3Last 10050%Win rateWWWLWWLWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +3.4pp headshot accuracy · −36ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

4–1 · 80% win rate
Avg rating 0.03
Avg headshot accuracy 31%
Avg reaction 453ms

Last 10

7–3 · 70% win rate
Avg rating 0.08
Avg headshot accuracy 35%
Avg reaction 484ms

Last 20

12–8 · 60% win rate
Avg rating 0.07
Avg headshot accuracy 33%
Avg reaction 502ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Opening Duellist — Winning opening duels is what stands out in this profile (+2.4 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim9.6

Utility5.7

Positioning8.7

Opening Duels9.4

Clutch4.2

Sharp aimerStrong positioning

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Plays most like s1mple 95% playstyle similarity

Most alike: positioning profile, 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

Aim. Aim score of 96 — the mechanical foundation is a clear strength.

CT openings. 68% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

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

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

Aim9.6

Positioning8.7

Utility5.7

Mechanics5.9

Opening Duels9.7

Win Impact6.7

Composite 8.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.07+0.04

first ⅓ avg 0.03 → last ⅓ avg 0.07

Reaction time503ms−72ms

first ⅓ avg 575ms → last ⅓ avg 503ms

Headshot accuracy35.0%+3.6%

first ⅓ avg 31.4% → last ⅓ avg 35.0%

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.

Personal bests

0.32Best match rating · 9–1 · poseidon, 13 Jun →

100%Best headshot accuracy · 3–13 · inferno, 13 Jul →

359msFastest reaction time · 13–10 · ancient, 15 Oct →

13–1Biggest win · anubis, 12 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak

W3Current streak

9–7In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 67% over 6ancientWeakest map · 33% over 6

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	27	13–14	48%	0.02
cache	A	17	10–7	59%	0.08
inferno	B	16	8–8	50%	0.01
mirage	C	16	7–9	44%	0.05
nuke	C	9	4–5	44%	0.05
ancient	D	6	2–4	33%	0.02
anubis	S	6	4–2	67%	0.03
vertigo	—	1	1–0	100%	0.17
poseidon	—	1	1–0	100%	0.32
overpass	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

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

Lifetime stats

511,631Lifetime kills

1.14K/D · Top 50% of Level 10 players

17,211Matches

43.5%Match win rate

66.7%Headshot % · Top 5% of Level 10 players

17.9%Shot accuracy · Top 25% of Level 10 players

55,318MVPs

15,796Hours (in match)

17,298Bombs planted

6,246Bombs defused

Most-used weapons

AK-47212,361

M4A4 / M4A1-S71,705

Desert Eagle53,402

AWP44,527

P2000 / USP-S42,345

Glock-1814,679

Knife8,385

SSG 086,877

P2506,150

SG 5535,332

Lifetime map wins

34,454inferno

32,165dust2

14,293nuke

5,922train

4,512vertigo

2,790cbble

1,004lake

704safehouse

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

Faceit stats

Combat

4,310Matches

59%Win rate

1.30Avg K/D

85.8ADR

57%Headshot %

Clutches & streaks

41%1v1 clutch win

29%1v2 clutch win

17Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Dust2	191	63%	1.33	16.9
Anubis	188	65%	1.27	17.1
Ancient	112	57%	1.22	15.2
Mirage	111	59%	1.24	16.7
Inferno	95	61%	1.23	17.2
Nuke	92	52%	1.18	16.4
Overpass	28	68%	1.22	14.8
Vertigo	16	62%	1.18	17.4

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Inventory

$2,171Inventory value28ItemsFull inventory breakdown →

$1,625

$133

$92

$69

$57

$53

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

35.1%Headshot accuracy

39.5%Accuracy (enemy spotted)

42.6%Spray accuracy

76.5%Counter-strafing

7.7°Preaim

498msReaction time

70.8%T opening success

67.6%CT opening success

0.62Enemies flashed / flash

8.3%Flash assists

7.36HE damage / grenade

14.90Flashes / match

Recommended for you

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.

33% win rate across 6 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	13–10	0.04	29%	19 Oct →
ancient	13–10	0.04	24%	15 Oct →
anubis	13–5	0.05	25%	15 Oct →
dust2	5–13	-0.01	35%	9 Oct →
inferno	13–6	0.05	40%	9 Oct →
cache	13–5	0.22	44%	7 Oct →
mirage	9–13	0.01	24%	7 Oct →
nuke	13–11	0.12	40%	6 Oct →
mirage	13–6	0.18	44%	6 Oct →
inferno	11–13	0.07	40%	6 Oct →
cache	13–8	0.09	23%	1 Oct →
cache	10–13	0.18	42%	23 Sept →
dust2	13–11	0.00	30%	23 Sept →
cache	10–13	0.06	42%	22 Sept →
dust2	7–13	0.01	25%	22 Sept →
mirage	13–11	0.10	38%	21 Sept →
dust2	8–13	0.03	33%	21 Sept →
cache	13–5	0.08	23%	14 Sept →
mirage	13–7	-0.05	23%	14 Sept →
mirage	8–13	0.10	32%	10 Sept →
cache	13–8	0.06	56%	10 Sept →
cache	8–13	0.05	38%	9 Sept →
mirage	13–8	0.13	33%	8 Sept →
dust2	13–8	0.04	49%	8 Sept →
mirage	8–13	0.08	35%	7 Sept →
dust2	16–13	0.08	34%	4 Sept →
mirage	15–15	0.05	36%	4 Sept →
dust2	7–13	0.09	45%	4 Sept →
nuke	11–13	0.09	40%	3 Sept →
nuke	9–13	0.06	29%	1 Sept →
dust2	13–6	0.05	39%	1 Sept →
ancient	16–13	0.16	24%	31 Aug →
dust2	5–13	-0.02	42%	29 Aug →
inferno	5–13	0.06	42%	13 Aug →
nuke	3–13	-0.01	23%	13 Aug →
anubis	13–11	0.04	17%	9 Aug →
nuke	13–10	0.15	33%	5 Aug →
mirage	13–8	0.05	27%	5 Aug →
dust2	13–8	0.08	45%	1 Aug →
inferno	13–2	0.02	35%	1 Aug →
inferno	13–7	0.06	25%	19 Jul →
mirage	14–16	0.05	40%	19 Jul →
dust2	3–13	0.00	20%	15 Jul →
ancient	8–13	0.01	20%	15 Jul →
inferno	3–13	-0.16	100%	13 Jul →
mirage	11–13	0.07	23%	13 Jul →
cache	6–13	0.05	27%	12 Jul →
anubis	13–1	0.18	30%	12 Jul →
cache	10–13	0.06	23%	12 Jul →
mirage	13–5	0.05	28%	12 Jul →
cache	8–13	-0.01	29%	3 Jul →
inferno	13–16	-0.00	27%	3 Jul →
ancient	8–13	-0.07	17%	3 Jul →
dust2	7–13	-0.00	41%	3 Jul →
anubis	13–6	-0.04	22%	30 Jun →
inferno	13–7	0.09	30%	30 Jun →
inferno	13–11	-0.01	40%	28 Jun →
ancient	9–13	-0.02	19%	28 Jun →
dust2	13–11	-0.03	27%	28 Jun →
nuke	4–13	-0.02	37%	28 Jun →
dust2	6–13	-0.02	52%	28 Jun →
cache	13–2	0.10	17%	25 Jun →
nuke	13–9	0.03	27%	25 Jun →
dust2	6–13	-0.09	34%	25 Jun →
dust2	6–13	0.06	42%	17 Jun →
dust2	13–5	0.08	32%	17 Jun →
dust2	8–13	0.04	21%	13 Jun →
vertigo	9–4	0.17	45%	13 Jun →
poseidon	9–1	0.32	67%	13 Jun →
nuke	9–6	0.11	27%	13 Jun →
inferno	9–6	0.01	60%	13 Jun →
overpass	8–8	0.05	29%	13 Jun →
dust2	13–1	-0.01	50%	9 Jun →
cache	13–6	0.03	37%	9 Jun →
cache	13–5	0.10	29%	4 Jun →
cache	5–0	0.09	45%	4 Jun →
cache	13–4	0.09	37%	4 Jun →
cache	13–5	0.03	28%	1 Jun →
inferno	4–13	-0.09	29%	25 May →
dust2	6–13	-0.04	26%	25 May →
dust2	13–11	0.01	18%	24 May →
nuke	10–13	-0.05	34%	24 May →
inferno	11–13	-0.03	18%	23 May →
cache	9–13	0.06	28%	21 May →
inferno	4–13	-0.04	21%	21 May →
ancient	3–13	-0.00	39%	16 May →
dust2	13–5	0.03	21%	27 Apr →
dust2	13–6	0.16	49%	26 Apr →
anubis	5–13	0.02	29%	24 Apr →
inferno	16–14	-0.00	21%	24 Apr →
dust2	3–13	-0.08	27%	24 Apr →
inferno	15–15	0.05	16%	19 Apr →
anubis	2–13	-0.08	47%	19 Apr →
mirage	7–13	-0.08	15%	19 Apr →
dust2	11–13	0.07	30%	19 Apr →
dust2	13–11	0.03	30%	19 Apr →
mirage	13–2	0.10	35%	18 Apr →
mirage	3–13	-0.01	20%	18 Apr →
dust2	16–13	0.08	32%	18 Apr →
mirage	0–2	-0.06	0%	18 Apr →