Noweggi — CS2 Stats

FI76561198035309440[U:1:75043712]Steam profile ↗✓ No bans

2,443Tracked matches47%Win rate2020Tracked since

5,522Hours in CS43Hrs last 2 wks

CSDB Rating6.3 SolidPassive Rifler

Premier CS Rating23,565Top 50% of 29,473 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)

CSDB Leaderboard#10653 of 56355 tracked

FaceitLevel 10 · 2,188 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), 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	45.3%	51.9%
Shot accuracy	17.9%	13.7%
Kill/death ratio	1.13	1.08
Match win rate	46.9%	48.7%

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Performance scores

Aim87

Positioning50

Utility65

0–100 skill scores via Leetify.

Recent form

STEADY51–48–1Last 10051%Win rateWWLLLLWWLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim8.7

Aggression3.7

Utility6.5

Positioning5.0

Opening Duels0.9

Clutch6.0

Sharp aimerStrong 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 NiKo 89% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-fight frequency; lower opening-duel success.

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 87 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 45% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.7

Positioning5.0

Utility6.5

Mechanics7.0

Opening Duels1.9

Win Impact3.9

Composite 6.3/10 (Solid), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time497ms−34ms

first ⅓ avg 531ms → last ⅓ avg 497ms

Headshot accuracy19.6%−2.8%

first ⅓ avg 22.4% → 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

0.14Best rating — nuke 13–0

13–0Biggest win — nuke

5Longest win streak

W2Current streak

8–7In matches decided by ≤2 rounds

15Overtime games

Map breakdown

nukeBest map · 69% over 16ancientWeakest map · 29% over 21

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	21	6–15	29%	0.00
inferno	S	17	11–6	65%	0.02
dust2	B	17	8–9	47%	0.00
nuke	S	16	11–5	69%	0.02
cache	B	12	6–6	50%	-0.00
mirage	S	9	6–3	67%	0.03
anubis	C	7	3–4	43%	0.02
train	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 21). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

269,070Lifetime kills

1.13K/D · Top 50% of Level 10 players

7,799Matches

46.9%Match win rate

45.3%Headshot %

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

23,894MVPs

5,292Hours (in match)

9,566Bombs planted

2,045Bombs defused

Most-used weapons

AK-4779,925

AWP68,695

M4A4 / M4A1-S34,218

Desert Eagle23,945

P2000 / USP-S15,343

Glock-187,669

P2506,056

SSG 084,590

Knife2,381

UMP-452,326

Lifetime map wins

18,435dust2

16,782inferno

8,471nuke

4,193train

1,296vertigo

494office

483cbble

164dust

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

Faceit stats

Combat

1,163Matches

52%Win rate

1.12Avg K/D

81.5ADR

43%Headshot %

Clutches & streaks

50%1v1 clutch win

17%1v2 clutch win

8Longest win streak

Recent Faceit resultsLLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	73	48%	1.04	16.1
Ancient	70	49%	1.19	16.8
Nuke	68	65%	1.42	16.6
Dust2	63	41%	0.94	14.5
Inferno	59	58%	1.14	17.2
Anubis	22	41%	1.00	15.4
Overpass	18	39%	1.20	17.5
Cache	17	35%	1.16	16.7

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.

19.5%Headshot accuracy

38.9%Accuracy (enemy spotted)

44.5%Spray accuracy

81.6%Counter-strafing

9.9°Preaim

491msReaction time

21.6%T opening success

45.2%CT opening success

0.54Enemies flashed / flash

7.1%Flash assists

11.44HE damage / grenade

8.04Flashes / 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 21.6465% — below the 40% mark we flag

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.

29% win rate across 21 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	13–9	0.05	16%	27 Aug →
nuke	13–11	-0.02	26%	27 Aug →
inferno	14–16	-0.00	24%	26 Aug →
dust2	4–13	-0.08	32%	26 Aug →
ancient	8–13	0.06	17%	26 Aug →
cache	9–13	-0.02	20%	26 Aug →
nuke	13–6	0.05	30%	26 Aug →
cache	13–6	0.02	21%	23 Aug →
dust2	6–13	-0.00	26%	23 Aug →
cache	10–13	-0.01	21%	23 Aug →
mirage	10–13	-0.02	11%	23 Aug →
ancient	10–13	-0.02	19%	23 Aug →
nuke	13–4	0.01	17%	22 Aug →
dust2	13–16	-0.01	11%	22 Aug →
anubis	13–16	-0.01	16%	21 Aug →
ancient	14–16	0.05	18%	21 Aug →
nuke	16–13	-0.02	11%	21 Aug →
cache	13–11	0.03	16%	21 Aug →
ancient	2–13	-0.09	3%	21 Aug →
inferno	13–11	0.04	28%	21 Aug →
mirage	13–3	0.09	21%	21 Aug →
inferno	10–13	-0.03	33%	20 Aug →
anubis	13–16	0.01	13%	19 Aug →
inferno	13–11	0.04	15%	19 Aug →
ancient	13–3	0.01	19%	19 Aug →
mirage	13–8	0.01	24%	19 Aug →
inferno	13–6	0.03	18%	18 Aug →
anubis	13–11	0.02	26%	18 Aug →
ancient	9–13	0.00	26%	18 Aug →
ancient	7–13	-0.01	12%	18 Aug →
inferno	13–10	0.01	13%	17 Aug →
ancient	11–13	-0.02	27%	17 Aug →
dust2	10–13	-0.01	18%	17 Aug →
nuke	13–3	0.05	17%	16 Aug →
nuke	13–5	0.07	14%	16 Aug →
ancient	13–2	0.04	24%	16 Aug →
ancient	13–2	0.00	13%	16 Aug →
inferno	9–13	0.04	13%	16 Aug →
dust2	13–9	0.01	19%	16 Aug →
dust2	12–16	-0.08	16%	16 Aug →
mirage	10–13	-0.02	14%	15 Aug →
nuke	11–13	0.05	20%	15 Aug →
nuke	9–13	-0.02	22%	15 Aug →
inferno	19–16	0.02	32%	15 Aug →
nuke	12–16	-0.04	24%	14 Aug →
ancient	19–22	0.01	12%	14 Aug →
ancient	5–13	-0.03	23%	14 Aug →
nuke	16–14	0.03	28%	13 Aug →
cache	13–8	0.08	21%	13 Aug →
inferno	13–9	0.01	30%	13 Aug →
inferno	13–5	0.06	18%	12 Aug →
nuke	13–0	0.14	44%	12 Aug →
nuke	10–13	-0.07	21%	12 Aug →
dust2	13–10	0.08	28%	12 Aug →
ancient	10–13	-0.05	10%	12 Aug →
ancient	8–13	-0.04	15%	12 Aug →
cache	13–9	-0.00	63%	12 Aug →
nuke	13–4	0.01	17%	11 Aug →
ancient	13–9	0.06	16%	11 Aug →
inferno	11–13	-0.01	19%	11 Aug →
mirage	13–8	0.07	31%	11 Aug →
cache	1–5	-0.07	20%	11 Aug →
dust2	13–8	0.05	14%	11 Aug →
dust2	13–11	-0.04	17%	10 Aug →
anubis	13–2	0.05	24%	8 Aug →
dust2	10–13	0.02	38%	8 Aug →
dust2	13–11	0.01	19%	8 Aug →
ancient	13–9	0.01	25%	7 Aug →
cache	13–10	-0.03	24%	6 Aug →
mirage	13–6	0.02	14%	6 Aug →
ancient	8–13	0.01	20%	6 Aug →
cache	9–13	-0.01	15%	6 Aug →
inferno	11–13	-0.04	13%	6 Aug →
ancient	8–13	-0.05	19%	6 Aug →
dust2	13–7	0.03	9%	5 Aug →
ancient	13–9	0.08	35%	5 Aug →
anubis	13–8	0.08	19%	5 Aug →
nuke	13–8	0.02	16%	5 Aug →
cache	9–13	-0.02	21%	4 Aug →
inferno	13–10	0.04	33%	4 Aug →
cache	16–12	0.04	16%	9 Jul →
inferno	12–16	0.02	15%	9 Jul →
mirage	13–5	0.07	39%	9 Jul →
dust2	8–13	-0.08	15%	8 Jul →
cache	5–13	-0.04	24%	22 Jun →
mirage	13–5	0.09	16%	18 Jun →
dust2	12–12	0.03	33%	18 Jun →
train	6–13	-0.01	21%	18 Jun →
dust2	8–13	-0.00	30%	17 Jun →
inferno	13–10	0.02	26%	13 Jun →
nuke	13–10	0.07	32%	1 Jun →
anubis	7–13	-0.01	12%	31 May →
dust2	13–8	-0.01	16%	30 May →
mirage	13–16	-0.01	20%	30 May →
ancient	11–13	-0.00	22%	26 May →
anubis	7–13	-0.01	40%	22 May →
nuke	5–13	-0.07	29%	21 May →
ancient	10–13	0.00	20%	19 May →
inferno	22–18	0.04	28%	18 May →
dust2	13–9	0.07	20%	18 May →