Newbie1Kenobi — CS2 Stats

SE76561197992631173[U:1:32365445]Steam profile ↗✓ No bans

2,144Tracked matches50%Win rate2023Tracked since

2,870Hours in CS50Hrs last 2 wks

CSDB Rating5.3 DevelopingPositional Player

Premier CS Rating10,109Blue band · top ~54.3% of ranked players (population est.)

CSDB Leaderboard#185207 of 260004 tracked

FaceitLevel 4Top 81.0% of ranked FACEIT players

WingmanGold Nova III

Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 10,109 → 10,109

+9Tracked matches · now 2,144

0.0ppWin rate · 50.0% → 50.0%

Rating over time

Premier CS Rating: 10,109 -2,456 5 Sept – 3 Nov · 14 days played

12,565Peak Premier in tracked matches

26Days played since 2026-09-05

Premier CS Rating

2,456 below peak (12,565)
+1,338 over 30 days · improving
Next: Purple band at 15,000 — 4,891 to go
Reached: Blue band · Light Blue band
Blue band first seen 2026-09-05
Light Blue band first seen 2026-09-05

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 4 among CSDB-tracked players (n=14,630), 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 4 median	Level 5 median	vs Level 5
Headshot rate	60.1%	42.7%	43.8%	above
Shot accuracy	0.3%	11.2%	12.0%	11.7% short
Kill/death ratio	1.16	0.99	1.02	above
Match win rate	35.3%	43.9%	44.7%	9.4% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim59

Positioning58

Utility54

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateWLWWLWWWLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +2.6pp headshot accuracy · +47ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

3–2 · 60% win rate
Avg rating -0.00
Avg headshot accuracy 15%
Avg reaction 627ms

Last 10

6–4 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 18%
Avg reaction 628ms

Last 20

12–8 · 60% win rate
Avg rating 0.00
Avg headshot accuracy 16%
Avg reaction 605ms

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: Positional Player — Positioning stands above the rest of this profile (+0.9 against its own average).

Aim5.9

Utility5.4

Positioning5.8

Opening Duels4.8

Clutch3.6

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 device 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 617ms 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

Aim5.9

Positioning5.8

Utility5.4

Mechanics5.4

Opening Duels5.7

Win Impact5.0

Composite 5.3/10 (Developing), 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 rating-0.01−0.00

first ⅓ avg -0.01 → last ⅓ avg -0.01

Reaction time610ms−27ms

first ⅓ avg 637ms → last ⅓ avg 610ms

Headshot accuracy16.5%+2.2%

first ⅓ avg 14.3% → last ⅓ avg 16.5%

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

0.08Best match rating · 16–12 · anubis, 9 Oct →

31%Best headshot accuracy · 13–11 · cache, 16 Oct →

469msFastest reaction time · 4–13 · inferno, 18 Oct →

13–0Biggest win · ancient, 9 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak

15–10In matches decided by ≤2 rounds

14Overtime games

Map breakdown

cacheBest map · 56% over 9nukeWeakest map · 31% over 16

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	23	12–11	52%	-0.01
anubis	C	19	8–11	42%	-0.01
nuke	D	16	5–11	31%	-0.02
dust2	C	14	6–8	43%	-0.01
ancient	C	13	5–8	38%	-0.00
cache	A	9	5–4	56%	-0.02
mirage	—	4	3–1	75%	0.00
vertigo	—	2	2–0	100%	-0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

100,580Lifetime kills

1.16K/D · Top 25% of Level 4 players

4,236Matches

35.3%Match win rate

60.1%Headshot % · Top 5% of Level 4 players

0.3%Shot accuracy

5,749MVPs

1,416Hours (in match)

3,058Bombs planted

701Bombs defused

Most-used weapons

AK-4756,392

M4A4 / M4A1-S21,915

Galil AR2,864

P2000 / USP-S2,708

AWP1,715

Desert Eagle1,675

MP71,532

FAMAS1,527

Glock-181,328

MP91,061

Lifetime map wins

5,011inferno

3,854dust2

3,336nuke

1,431vertigo

968train

93office

39italy

16ar_shoots

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

Faceit stats

Combat

547Matches

49%Win rate

0.84Avg K/D

72.0ADR

41%Headshot %

Clutches & streaks

38%1v1 clutch win

14%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	132	58%	0.86	12.5
Ancient	103	54%	0.96	14.5
Inferno	72	51%	0.87	13.6
Nuke	60	45%	0.80	13.2
Dust2	59	41%	0.80	12.3
Mirage	46	28%	0.69	11.1
Cache	21	48%	0.76	12.1
Vertigo	21	33%	0.68	10.8

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.

16.9%Headshot accuracy

33.3%Accuracy (enemy spotted)

36.4%Spray accuracy

74.3%Counter-strafing

9.8°Preaim

617msReaction time

56.1%T opening success

49.4%CT opening success

0.55Enemies flashed / flash

3.9%Flash assists

13.71HE damage / grenade

5.20Flashes / match

Recommended for you

Spend your practice time on Nuke

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
inferno	13–11	0.02	14%	4 Nov →
inferno	8–13	-0.01	9%	3 Nov →
mirage	13–7	0.07	17%	3 Nov →
ancient	13–2	-0.05	15%	3 Nov →
dust2	11–13	-0.03	22%	2 Nov →
inferno	13–6	0.04	21%	2 Nov →
cache	13–4	0.03	11%	2 Nov →
dust2	13–8	0.00	28%	2 Nov →
dust2	9–13	0.05	23%	2 Nov →
nuke	7–13	-0.09	15%	2 Nov →
anubis	3–13	-0.01	13%	2 Nov →
cache	7–13	-0.06	13%	29 Oct →
ancient	16–14	-0.02	10%	29 Oct →
anubis	13–2	0.05	13%	29 Oct →
cache	13–7	0.04	20%	28 Oct →
nuke	8–13	-0.02	17%	28 Oct →
anubis	13–7	-0.00	24%	28 Oct →
inferno	13–8	0.04	14%	28 Oct →
inferno	6–13	-0.01	13%	27 Oct →
anubis	13–6	-0.02	12%	27 Oct →
ancient	10–13	-0.01	10%	27 Oct →
anubis	9–13	-0.07	22%	26 Oct →
nuke	11–13	-0.06	20%	26 Oct →
ancient	2–13	-0.06	22%	26 Oct →
dust2	13–10	0.02	14%	26 Oct →
anubis	3–13	-0.03	23%	26 Oct →
anubis	8–13	-0.02	19%	25 Oct →
anubis	11–13	-0.02	12%	25 Oct →
ancient	13–11	0.03	20%	25 Oct →
vertigo	13–7	0.00	24%	24 Oct →
anubis	13–11	-0.02	8%	24 Oct →
dust2	16–14	-0.05	13%	23 Oct →
anubis	16–14	0.02	14%	23 Oct →
inferno	8–13	-0.00	30%	23 Oct →
ancient	19–22	0.04	22%	23 Oct →
nuke	13–11	-0.03	13%	23 Oct →
anubis	14–16	-0.01	15%	23 Oct →
inferno	14–16	0.01	11%	23 Oct →
ancient	6–13	0.01	10%	22 Oct →
inferno	9–13	0.01	15%	22 Oct →
ancient	13–11	0.07	16%	22 Oct →
nuke	13–10	0.01	21%	22 Oct →
nuke	10–13	-0.02	19%	22 Oct →
anubis	6–13	-0.05	18%	21 Oct →
inferno	16–14	-0.01	9%	21 Oct →
nuke	6–13	-0.09	6%	21 Oct →
cache	16–12	0.00	20%	21 Oct →
inferno	13–11	0.02	24%	21 Oct →
inferno	13–11	0.06	16%	20 Oct →
inferno	4–13	-0.11	23%	18 Oct →
inferno	11–13	0.00	13%	17 Oct →
ancient	8–13	-0.06	18%	17 Oct →
inferno	5–13	-0.07	20%	17 Oct →
ancient	3–13	-0.06	22%	17 Oct →
nuke	13–10	-0.01	9%	17 Oct →
anubis	6–13	-0.05	15%	16 Oct →
anubis	8–13	-0.06	13%	16 Oct →
nuke	5–13	-0.05	14%	16 Oct →
dust2	13–8	-0.01	16%	16 Oct →
cache	13–11	-0.06	31%	16 Oct →
inferno	13–9	-0.04	23%	16 Oct →
inferno	13–11	0.05	10%	15 Oct →
inferno	13–6	0.01	19%	14 Oct →
vertigo	13–11	-0.03	12%	14 Oct →
inferno	10–13	-0.06	15%	14 Oct →
inferno	13–7	-0.01	8%	14 Oct →
nuke	13–4	0.06	15%	14 Oct →
nuke	13–10	0.02	11%	14 Oct →
dust2	4–13	-0.01	19%	14 Oct →
nuke	5–13	-0.03	23%	13 Oct →
cache	6–13	-0.06	26%	13 Oct →
dust2	10–13	-0.06	13%	13 Oct →
inferno	7–13	-0.03	13%	13 Oct →
ancient	9–13	-0.05	12%	10 Oct →
cache	11–13	-0.01	13%	10 Oct →
mirage	13–9	-0.04	10%	10 Oct →
mirage	10–13	-0.03	16%	9 Oct →
mirage	13–8	0.01	16%	9 Oct →
dust2	13–4	-0.05	13%	9 Oct →
ancient	13–0	0.04	22%	9 Oct →
dust2	4–13	-0.02	15%	9 Oct →
dust2	9–13	-0.01	11%	9 Oct →
anubis	16–12	0.08	14%	9 Oct →
dust2	13–11	0.01	11%	9 Oct →
dust2	6–13	0.04	13%	9 Oct →
inferno	13–7	0.02	12%	8 Oct →
dust2	8–13	-0.00	21%	8 Oct →
ancient	13–16	0.08	10%	8 Oct →
anubis	13–5	0.06	17%	8 Oct →
cache	5–13	-0.05	7%	8 Oct →
cache	13–4	0.04	13%	8 Oct →
anubis	13–4	0.05	16%	7 Oct →
inferno	10–13	-0.06	19%	7 Oct →
anubis	15–15	-0.04	19%	7 Oct →
anubis	14–16	-0.02	7%	6 Oct →
inferno	13–3	-0.02	11%	6 Oct →
nuke	17–19	-0.03	16%	6 Oct →
nuke	14–16	-0.02	14%	5 Oct →
nuke	9–13	0.02	13%	5 Oct →
nuke	8–13	-0.00	10%	4 Oct →