Willis — CS2 Stats

AU76561198030659513[U:1:70393785]Steam profile ↗✓ No bans

285Tracked matches37%Win rate2020Tracked since

829Hours in CS

CSDB Rating4.5 Developing

FaceitLevel 3Top 90.6% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=1,149), 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 3 median	Level 4 median	vs Level 4
Headshot rate	43.3%	42.2%	42.7%	meets
Shot accuracy	17.4%	11.9%	10.8%	above
Kill/death ratio	1.09	0.98	1.00	above
Match win rate	39.7%	43.6%	44.1%	4.5% short

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim58

Positioning47

Utility35

0–100 skill scores via Leetify.

Recent form

COLD49–49–2Last 10049%Win rateLWLWLLLLWL

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Aim5.8

Aggression7.6

Utility3.5

Positioning4.7

Opening Duels2.5

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 b1t 83% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 614ms 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

Aim5.8

Positioning4.7

Utility3.5

Mechanics6.4

Opening Duels2.5

Win Impact0.6

Composite 4.5/10 (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 time607ms−13ms

first ⅓ avg 621ms → last ⅓ avg 607ms

Headshot accuracy18.7%−1.0%

first ⅓ avg 19.7% → last ⅓ avg 18.7%

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

0.21Best rating — anubis 13–6

13–1Biggest win — mirage

5Longest win streak

8–10In matches decided by ≤2 rounds

7Overtime games

Map breakdown

ancientBest map · 67% over 6anubisWeakest map · 22% over 9

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	33	17–16	52%	0.02
dust2	A	29	16–13	55%	0.01
inferno	A	14	9–5	64%	0.03
anubis	D	9	2–7	22%	0.04
ancient	S	6	4–2	67%	-0.01
overpass	—	4	1–3	25%	-0.02
nuke	—	3	0–3	0%	-0.03
train	—	1	0–1	0%	0.04
vertigo	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,239Lifetime kills

1.09K/D · Top 50% of Level 3 players

2,242Matches

39.7%Match win rate

43.3%Headshot % · Top 50% of Level 3 players

17.4%Shot accuracy · Top 25% of Level 3 players

4,195MVPs

829Hours (in match)

706Bombs planted

450Bombs defused

Most-used weapons

AK-478,331

M4A4 / M4A1-S7,974

AWP6,837

Desert Eagle2,872

P2502,414

P2000 / USP-S2,380

SSG 081,138

Glock-181,058

Five-SeveN1,051

SG 553968

Lifetime map wins

7,851dust2

1,535inferno

662nuke

351train

314cbble

84vertigo

47office

30aztec

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

Faceit stats

Combat

10Matches

70%Win rate

0.86Avg K/D

—ADR

36%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

5Longest win streak

Recent Faceit resultsLLLWW

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

32.9%Accuracy (enemy spotted)

32.6%Spray accuracy

78.9%Counter-strafing

10.5°Preaim

614msReaction time

40.4%T opening success

39.4%CT opening success

0.49Enemies flashed / flash

7.6%Flash assists

10.23HE damage / grenade

6.57Flashes / 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.

Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4902 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
Losing the first CT duel repeatedly usually means holding angles that favour the peeker.
CT opening duels 39.4301% — below the 40% mark we flag

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.

22% win rate across 9 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
mirage	11–13	0.07	15%	9 Apr →
ancient	13–8	-0.01	16%	8 Apr →
nuke	3–13	-0.04	20%	5 Apr →
inferno	13–10	0.03	10%	28 Feb →
dust2	9–13	-0.01	22%	28 Feb →
inferno	11–13	0.03	18%	26 Nov →
mirage	6–13	-0.01	21%	26 Nov →
mirage	10–13	-0.00	18%	20 Nov →
dust2	13–10	0.03	10%	18 Nov →
dust2	11–13	0.02	19%	18 Nov →
dust2	2–13	-0.04	13%	24 Oct →
mirage	13–10	0.02	8%	24 Oct →
dust2	16–14	0.02	13%	20 Oct →
inferno	13–10	0.00	23%	20 Oct →
ancient	10–13	0.01	10%	15 Oct →
dust2	13–11	-0.02	5%	15 Oct →
dust2	11–13	-0.02	17%	8 Oct →
mirage	4–13	-0.06	6%	8 Oct →
dust2	13–6	0.10	29%	1 Oct →
dust2	9–13	0.01	30%	3 Sept →
dust2	13–9	0.00	26%	31 Aug →
overpass	7–13	-0.01	18%	31 Jul →
mirage	16–13	0.00	22%	26 Jul →
mirage	11–13	-0.04	22%	3 Jul →
dust2	8–13	0.02	24%	2 Jul →
anubis	2–13	0.06	14%	25 Jun →
dust2	9–13	-0.01	12%	25 Jun →
dust2	7–13	-0.08	14%	24 Jun →
dust2	13–9	0.03	37%	15 Jun →
anubis	8–13	0.05	18%	10 Jun →
mirage	6–13	-0.05	29%	6 Jun →
anubis	7–13	0.02	29%	5 Jun →
inferno	13–9	0.03	27%	4 Jun →
mirage	13–1	0.10	16%	4 Jun →
dust2	13–7	0.05	19%	4 Jun →
anubis	5–13	-0.03	17%	24 May →
inferno	13–7	0.06	14%	24 May →
dust2	13–11	-0.01	22%	24 May →
mirage	13–9	-0.03	22%	23 May →
inferno	13–11	0.01	26%	23 May →
mirage	7–13	0.03	31%	23 May →
dust2	13–9	0.03	24%	22 May →
inferno	16–13	0.08	29%	22 May →
dust2	6–13	0.08	21%	22 May →
mirage	4–13	0.02	29%	21 May →
dust2	6–13	-0.05	26%	20 May →
mirage	13–8	0.02	18%	20 May →
mirage	13–8	-0.03	19%	18 May →
dust2	13–9	0.09	30%	13 May →
anubis	13–6	0.01	19%	13 May →
nuke	11–13	0.02	23%	8 May →
mirage	13–9	0.07	21%	8 May →
dust2	9–13	-0.01	19%	1 May →
ancient	13–4	0.02	15%	16 Apr →
mirage	13–4	0.08	53%	11 Mar →
inferno	7–13	-0.02	19%	11 Mar →
mirage	13–10	0.08	25%	16 Dec →
mirage	13–4	0.14	23%	27 Nov →
dust2	13–6	-0.01	18%	21 Nov →
mirage	13–4	0.03	8%	21 Nov →
mirage	5–13	0.02	21%	20 Nov →
train	7–13	0.04	15%	20 Nov →
mirage	15–15	0.01	25%	13 Nov →
dust2	15–15	0.00	23%	13 Nov →
mirage	13–8	0.03	23%	6 Nov →
mirage	10–13	0.01	32%	25 Oct →
anubis	10–13	0.04	11%	17 Oct →
mirage	11–13	0.08	23%	1 Oct →
dust2	13–7	0.01	15%	9 Jul →
inferno	7–13	-0.09	13%	18 Jun →
dust2	13–6	-0.01	23%	18 Jun →
dust2	13–11	0.02	20%	3 Jun →
mirage	13–4	-0.01	50%	3 Jun →
anubis	10–13	0.04	17%	13 May →
dust2	13–8	-0.02	30%	8 May →
dust2	9–13	0.04	16%	30 Apr →
inferno	13–6	0.13	24%	29 Apr →
mirage	11–13	-0.02	11%	8 Apr →
mirage	10–13	0.02	6%	30 Mar →
mirage	4–13	-0.05	25%	30 Mar →
vertigo	7–13	-0.01	23%	26 Mar →
overpass	16–13	0.05	17%	25 Mar →
dust2	13–6	-0.02	26%	22 Mar →
inferno	13–9	0.07	22%	22 Mar →
inferno	10–13	-0.02	25%	14 Mar →
inferno	13–5	0.10	27%	13 Mar →
anubis	13–6	0.21	21%	12 Mar →
mirage	13–5	0.05	30%	10 Mar →
ancient	13–5	0.03	12%	8 Mar →
mirage	13–7	0.04	13%	4 Mar →
mirage	11–13	-0.00	13%	3 Mar →
nuke	6–13	-0.07	9%	3 Mar →
ancient	13–11	-0.03	7%	2 Mar →
overpass	9–13	-0.05	24%	2 Mar →
inferno	8–13	-0.01	15%	1 Mar →
mirage	13–11	0.10	18%	29 Feb →
ancient	14–16	-0.05	11%	28 Feb →
overpass	5–13	-0.07	15%	26 Feb →
mirage	13–11	-0.02	23%	24 Feb →
anubis	10–13	0.01	28%	24 Feb →