Cardboard Batman — CS2 Stats

US76561198042188894[U:1:81923166]Steam profile ↗✓ No bans

674Tracked matches37%Win rate2021Tracked since

3,078Hours in CS1Hrs last 2 wks

CSDB Rating5.8 SolidAggressive Rifler

FaceitLevel 4Top 81.0% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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	22.3%	42.5%	44.2%	21.9% short
Shot accuracy	16.7%	10.9%	11.2%	above
Kill/death ratio	1.01	0.99	1.04	0.03 short
Match win rate	43.4%	44.2%	45.3%	1.9% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. 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

Aim79

Positioning51

Utility38

0–100 skill scores via Leetify.

Recent form

COLD44–49–7Last 10044%Win rateWLLTLWLWLL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.9

Aggression9.0

Utility3.8

Positioning5.1

Opening Duels3.9

Excellent counter-strafingStrong CT-side openerLimited utility dependence

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 jL 88% playstyle similarity

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

Where you differ: lower positioning profile; lower utility contribution.

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

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

T-side openings. Opening success drops from 58% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 661ms 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

Aim7.9

Positioning5.1

Utility3.8

Mechanics8.9

Opening Duels3.9

Win Impact0.7

Composite 5.8/10 (Solid), 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 rating-0.00−0.03

first ⅓ avg 0.03 → last ⅓ avg -0.00

Reaction time660ms−16ms

first ⅓ avg 677ms → last ⅓ avg 660ms

Headshot accuracy21.0%−3.7%

first ⅓ avg 24.7% → last ⅓ avg 21.0%

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.

Highlights

0.13Best rating — inferno 13–3

13–2Biggest win — train

5Longest win streak

7–5In matches decided by ≤2 rounds

5Overtime games

Map breakdown

trainBest map · 80% over 5nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
dust2	D	30	10–20	33%	0.01
inferno	B	19	9–10	47%	0.02
mirage	D	15	5–10	33%	-0.02
nuke	D	7	2–5	29%	0.01
ancient	C	7	3–4	43%	-0.00
overpass	S	7	5–2	71%	0.04
cache	S	6	4–2	67%	0.00
train	S	5	4–1	80%	0.06
anubis	—	3	1–2	33%	-0.00
office	—	1	1–0	100%	-0.05

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

131,144Lifetime kills

1.01K/D · Top 50% of Level 4 players

3,184Matches

43.4%Match win rate

22.3%Headshot %

16.7%Shot accuracy · Top 25% of Level 4 players

6,894MVPs

1,454Hours (in match)

1,821Bombs planted

632Bombs defused

Most-used weapons

AK-4737,389

M4A4 / M4A1-S19,951

Glock-1815,297

AWP10,512

Knife10,410

P2000 / USP-S10,118

Desert Eagle3,032

P2502,248

Tec-92,055

P901,651

Lifetime map wins

11,883dust2

4,731inferno

1,577nuke

1,040train

580cbble

276vertigo

71office

55ar_shoots

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

Faceit stats

Combat

29Matches

48%Win rate

1.19Avg K/D

—ADR

49%Headshot %

Clutches & streaks

—1v1 clutch win

—1v2 clutch win

3Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Overpass	3	33%	1.53	21.3
Inferno	3	67%	1.16	19.3
Mirage	2	0%	0.47	5.5
Vertigo	1	0%	0.53	10.0

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.

20.4%Headshot accuracy

38.3%Accuracy (enemy spotted)

42.2%Spray accuracy

89.9%Counter-strafing

10.4°Preaim

661msReaction time

33.2%T opening success

58.4%CT opening success

0.56Enemies flashed / flash

2.4%Flash assists

10.60HE damage / grenade

4.49Flashes / 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 33.1913% — below the 40% mark we flag

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.

29% win rate across 7 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
dust2	13–4	0.05	31%	16 Aug →
dust2	10–13	0.00	21%	16 Aug →
inferno	3–13	-0.09	40%	15 Aug →
dust2	15–15	0.01	20%	15 Aug →
inferno	10–13	0.03	21%	9 Aug →
anubis	16–12	0.04	18%	8 Aug →
cache	9–13	-0.05	13%	8 Aug →
inferno	13–4	0.01	15%	8 Aug →
dust2	6–13	-0.05	23%	8 Aug →
nuke	10–13	0.08	24%	24 Jul →
cache	8–0	0.08	43%	24 Jul →
dust2	4–13	-0.05	25%	20 Jul →
cache	16–14	-0.03	18%	20 Jul →
inferno	8–13	-0.03	22%	17 Jul →
cache	9–13	-0.03	16%	17 Jul →
nuke	12–12	-0.01	56%	17 Jul →
inferno	13–7	-0.02	8%	16 Jul →
dust2	11–13	0.00	14%	16 Jul →
ancient	10–13	-0.05	14%	10 Jul →
inferno	7–13	0.01	16%	27 Jun →
nuke	13–10	0.04	18%	27 Jun →
mirage	13–7	0.06	19%	26 Jun →
dust2	3–13	-0.00	25%	26 Jun →
dust2	8–13	-0.02	23%	18 Jun →
ancient	4–13	-0.02	13%	16 Jun →
dust2	13–8	0.06	20%	4 Jun →
anubis	4–13	-0.08	22%	4 Jun →
dust2	0–13	-0.08	12%	4 Jun →
dust2	12–12	-0.04	9%	3 Jun →
inferno	13–3	0.13	21%	3 Jun →
office	13–8	-0.05	12%	26 May →
dust2	13–8	0.06	19%	24 May →
inferno	13–11	-0.02	27%	15 May →
inferno	2–13	-0.10	10%	6 May →
dust2	16–14	0.02	13%	3 May →
cache	13–11	0.01	20%	2 May →
cache	13–10	0.04	20%	2 May →
dust2	4–13	-0.07	19%	10 Apr →
overpass	11–13	0.07	13%	3 Apr →
inferno	8–13	0.03	23%	3 Apr →
inferno	13–9	0.04	13%	2 Apr →
dust2	11–13	0.06	19%	2 Apr →
ancient	8–13	-0.04	15%	22 Mar →
overpass	13–7	0.08	21%	16 Mar →
overpass	13–7	0.04	34%	16 Mar →
nuke	6–13	-0.07	14%	5 Mar →
mirage	6–13	-0.08	29%	28 Feb →
anubis	10–13	0.03	25%	28 Feb →
inferno	16–14	0.05	28%	11 Feb →
dust2	6–13	-0.03	17%	11 Feb →
mirage	2–13	-0.05	10%	11 Feb →
dust2	10–13	-0.09	17%	4 Feb →
inferno	13–6	0.12	31%	1 Feb →
mirage	13–6	-0.03	22%	31 Jan →
dust2	13–11	0.03	21%	6 Jan →
overpass	13–9	0.03	23%	6 Jan →
overpass	13–7	0.05	21%	14 Dec →
dust2	6–13	-0.03	7%	14 Dec →
overpass	13–10	0.01	15%	13 Nov →
ancient	8–13	-0.03	10%	12 Nov →
dust2	13–8	0.01	18%	12 Nov →
nuke	11–13	-0.02	24%	26 Oct →
mirage	3–13	-0.00	26%	23 Oct →
train	9–13	0.01	22%	23 Oct →
mirage	12–12	-0.03	18%	20 Oct →
mirage	6–13	-0.08	9%	15 Oct →
inferno	13–7	-0.02	25%	9 Oct →
inferno	7–13	0.09	31%	8 Oct →
dust2	7–13	0.05	22%	8 Oct →
train	13–4	0.08	21%	17 Sept →
nuke	3–13	0.01	32%	17 Sept →
dust2	11–13	0.03	25%	17 Sept →
dust2	12–12	-0.03	13%	11 Sept →
mirage	9–13	0.01	26%	10 Sept →
ancient	13–5	0.06	20%	10 Sept →
train	13–8	0.03	24%	10 Sept →
dust2	13–7	0.10	15%	8 Sept →
mirage	8–13	0.02	25%	7 Sept →
inferno	13–6	0.02	19%	7 Sept →
mirage	13–10	-0.01	22%	7 Sept →
dust2	13–3	0.07	28%	7 Sept →
dust2	13–5	0.02	22%	7 Sept →
overpass	5–13	-0.01	17%	7 Sept →
inferno	10–13	0.02	36%	6 Sept →
inferno	9–13	0.05	19%	6 Sept →
mirage	7–13	0.03	30%	6 Sept →
mirage	3–13	-0.06	13%	6 Sept →
dust2	5–13	-0.01	27%	6 Sept →
mirage	13–10	-0.01	19%	29 Aug →
dust2	9–13	0.06	29%	28 Aug →
dust2	12–12	-0.01	32%	25 Aug →
nuke	13–10	0.07	36%	25 Aug →
inferno	12–12	0.07	36%	25 Aug →
train	13–8	0.05	14%	25 Aug →
mirage	10–13	-0.06	13%	24 Aug →
mirage	13–6	0.02	20%	23 Aug →
dust2	13–9	0.06	34%	23 Aug →
train	13–2	0.11	24%	23 Aug →
ancient	13–5	0.07	45%	23 Aug →
ancient	13–11	0.01	27%	23 Aug →