✪Lil Weeb — CS2 Stats

76561198215306132[U:1:255040404]Steam profile ↗✓ No bans

2,424Tracked matches34%Win rate2020Tracked since

CSDB Rating4.1 DevelopingSupport

CSDB Leaderboard#120778 of 251676 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 1 Sep 2026 (43 days ago). Ranks are recorded once per day this page is viewed.

+15Tracked matches · now 2,424

−1.2ppWin rate · 35.7% → 34.5%

Rating over time

Premier CS Rating: 16,992 -879 20 Jun – 1 Sept · 7 days played

18,543Peak Premier in tracked matches

22Days played since 2026-06-20

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

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Performance scores

Aim53

Positioning38

Utility55

0–100 skill scores via Leetify.

Recent form

STEADY44–47–9Last 10044%Win rateWLLTWWLLWL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −1.2pp headshot accuracy · +6ms reaction

Win rate up 30pp 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

2–2–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 18%
Avg reaction 591ms

Last 10

4–5–1 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 16%
Avg reaction 609ms

Last 20

5–14–1 · 25% win rate
Avg rating 0.00
Avg headshot accuracy 17%
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: Support — Utility contribution stands above the rest of this profile (+3.2 against its own average).

Aim5.3

Utility5.5

Positioning3.8

Opening Duels0.0

Clutch0.0

Effective flashes

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 Twistzz 80% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 615ms 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

Aim5.3

Positioning3.8

Utility5.5

Mechanics6.3

Opening Duels0.1

Win Impact0.0

Composite 4.1/10 (Developing), 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 rating0.00−0.01

first ⅓ avg 0.01 → last ⅓ avg 0.00

Reaction time617ms−43ms

first ⅓ avg 661ms → last ⅓ avg 617ms

Headshot accuracy15.6%+0.6%

first ⅓ avg 15.0% → last ⅓ avg 15.6%

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.

Personal bests

0.18Best match rating · 13–11 · shelter, 8 Aug →

40%Best headshot accuracy · 1–3 · fachwerk, 18 Jul →

391msFastest reaction time · 6–13 · office, 8 Aug →

13–0Biggest win · mirage, 4 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak

8–7In matches decided by ≤2 rounds

1Overtime games

Map breakdown

cacheBest map · 57% over 14officeWeakest map · 14% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	20	9–11	45%	-0.01
cache	A	14	8–6	57%	0.04
mirage	B	14	7–7	50%	0.02
office	D	7	1–6	14%	0.01
nuke	C	7	3–4	43%	-0.00
inferno	D	7	2–5	29%	-0.01
train	B	6	3–3	50%	-0.00
ancient	C	5	2–3	40%	-0.02
overpass	—	4	2–2	50%	0.01
anubis	—	3	0–3	0%	-0.04
shelter	—	2	2–0	100%	0.11
fachwerk	—	2	0–2	0%	-0.00
alpine	—	2	1–1	50%	0.03
warden	—	2	1–1	50%	-0.03
vertigo	—	2	1–1	50%	0.01
debris	—	1	0–1	0%	-0.14
boulder	—	1	1–0	100%	0.05
stronghold	—	1	1–0	100%	0.02

Across the last 100 tracked matches.

Faceit stats

Combat

137Matches

47%Win rate

1.15Avg K/D

83.3ADR

33%Headshot %

Clutches & streaks

9%1v1 clutch win

17%1v2 clutch win

6Longest win streak

Recent Faceit resultsLWLWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	12	33%	0.70	11.3
Inferno	9	22%	1.03	16.2
Nuke	8	12%	0.96	15.8
Ancient	6	50%	0.82	14.8
Overpass	3	67%	1.53	24.0
Vertigo	3	67%	1.17	13.7
Anubis	1	100%	1.46	19.0
Dust2	1	100%	2.56	23.0

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.

16.1%Headshot accuracy

32.9%Accuracy (enemy spotted)

35.4%Spray accuracy

78.2%Counter-strafing

11.9°Preaim

615msReaction time

27.0%T opening success

30.7%CT opening success

0.70Enemies flashed / flash

6.3%Flash assists

12.85HE damage / grenade

6.00Flashes / 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 27.0034% — 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.

29% win rate across 7 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	13–8	-0.00	21%	11 Oct →
train	6–13	-0.05	5%	11 Oct →
office	11–13	0.00	31%	11 Oct →
office	12–12	0.04	16%	4 Oct →
mirage	13–0	0.06	19%	4 Oct →
train	13–7	0.06	13%	26 Sept →
cache	7–13	-0.02	16%	26 Sept →
mirage	9–13	0.06	16%	26 Sept →
cache	13–10	0.04	16%	26 Sept →
overpass	4–13	-0.06	12%	5 Sept →
ancient	4–13	-0.07	15%	5 Sept →
mirage	6–13	0.07	22%	5 Sept →
nuke	13–11	0.07	9%	5 Sept →
cache	9–13	0.05	19%	5 Sept →
dust2	6–13	-0.03	21%	4 Sept →
dust2	5–13	-0.10	8%	27 Aug →
cache	11–13	0.00	17%	27 Aug →
ancient	5–13	-0.05	25%	27 Aug →
mirage	11–13	0.01	15%	15 Aug →
inferno	4–13	0.01	24%	15 Aug →
nuke	11–13	-0.02	17%	15 Aug →
debris	6–9	-0.14	8%	15 Aug →
overpass	9–4	0.12	15%	15 Aug →
inferno	10–13	0.01	23%	15 Aug →
dust2	7–13	-0.02	7%	15 Aug →
inferno	8–13	-0.07	14%	15 Aug →
cache	13–7	0.03	17%	15 Aug →
mirage	13–2	0.08	10%	15 Aug →
dust2	3–13	-0.04	12%	15 Aug →
ancient	13–2	0.07	13%	9 Aug →
inferno	13–8	0.03	13%	9 Aug →
dust2	13–10	0.02	14%	9 Aug →
nuke	13–10	0.02	13%	9 Aug →
shelter	13–11	0.18	10%	8 Aug →
office	6–13	0.04	28%	8 Aug →
dust2	3–13	-0.06	13%	8 Aug →
overpass	13–7	0.01	15%	8 Aug →
cache	12–12	0.05	20%	8 Aug →
nuke	0–9	-0.22	17%	8 Aug →
ancient	4–13	-0.03	15%	8 Aug →
mirage	2–13	-0.06	15%	8 Aug →
inferno	5–13	0.02	20%	8 Aug →
fachwerk	10–13	-0.04	17%	8 Aug →
office	12–12	0.03	31%	8 Aug →
train	4–13	0.05	38%	8 Aug →
cache	13–6	0.04	21%	31 Jul →
anubis	3–13	-0.07	16%	31 Jul →
mirage	13–10	0.03	11%	31 Jul →
anubis	12–12	-0.01	22%	30 Jul →
dust2	9–13	-0.03	16%	25 Jul →
nuke	9–13	-0.01	27%	24 Jul →
dust2	13–11	0.03	31%	24 Jul →
dust2	13–11	-0.02	30%	18 Jul →
cache	8–13	0.03	19%	18 Jul →
boulder	13–9	0.05	14%	18 Jul →
fachwerk	1–3	0.04	40%	18 Jul →
shelter	13–3	0.03	25%	17 Jul →
office	13–7	-0.00	14%	17 Jul →
dust2	13–11	-0.05	15%	15 Jul →
cache	10–13	0.07	18%	12 Jul →
mirage	13–11	0.00	22%	12 Jul →
nuke	11–13	0.03	25%	11 Jul →
mirage	15–15	0.05	23%	11 Jul →
inferno	7–13	-0.07	17%	11 Jul →
dust2	13–11	0.03	29%	11 Jul →
alpine	9–13	-0.00	9%	28 Jun →
warden	6–13	-0.03	15%	28 Jun →
alpine	11–1	0.07	13%	28 Jun →
ancient	13–7	-0.03	13%	28 Jun →
office	12–12	0.00	12%	28 Jun →
cache	13–8	0.10	12%	28 Jun →
train	11–13	-0.07	8%	28 Jun →
dust2	5–13	-0.06	15%	28 Jun →
vertigo	7–13	-0.02	9%	28 Jun →
inferno	13–8	0.04	13%	28 Jun →
stronghold	13–7	0.02	14%	28 Jun →
warden	13–7	-0.04	17%	28 Jun →
nuke	13–1	0.13	16%	28 Jun →
mirage	7–13	0.00	2%	27 Jun →
anubis	5–13	-0.03	11%	27 Jun →
dust2	8–13	0.04	13%	27 Jun →
cache	13–7	0.13	11%	27 Jun →
train	13–7	-0.02	19%	27 Jun →
mirage	12–12	0.06	8%	27 Jun →
cache	13–10	0.06	15%	27 Jun →
dust2	12–12	-0.02	14%	27 Jun →
dust2	13–7	-0.03	21%	27 Jun →
train	13–6	0.01	29%	27 Jun →
dust2	13–6	0.12	21%	21 Jun →
mirage	13–11	-0.03	15%	21 Jun →
dust2	5–13	-0.01	16%	21 Jun →
office	7–13	-0.05	31%	21 Jun →
dust2	13–8	0.08	18%	21 Jun →
overpass	12–12	-0.03	15%	21 Jun →
mirage	13–7	0.02	12%	21 Jun →
cache	11–5	-0.02	9%	20 Jun →
mirage	13–7	-0.01	20%	20 Jun →
vertigo	13–10	0.04	16%	20 Jun →
dust2	4–13	-0.08	30%	20 Jun →
dust2	13–6	0.02	9%	20 Jun →