Betman — CS2 Stats

76561198405092543[U:1:444826815]Steam profile ↗

2,671Tracked matches72%Win rate2020Tracked since

CSDB Rating7.6 StrongAggressive Rifler

Premier CS Rating26,319Top 25% of 819 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)

CSDB Leaderboard#863 of 8657 tracked

FaceitLevel 10 · 2,601 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim89

Positioning57

Utility63

0–100 skill scores via Leetify.

Recent form

STEADY64–31–5Last 10064%Win rateWLTWLWWWLW

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

Player DNA

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

Aim8.9

Aggression6.6

Utility6.3

Positioning5.7

Opening Duels2.1

Clutch3.8

Sharp aimerExcellent counter-strafing

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 Twistzz 95% playstyle similarity

Most alike: positioning profile, 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 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

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

Aim8.9

Positioning5.7

Utility6.3

Mechanics8.8

Opening Duels2.1

Win Impact10.0

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.00

first ⅓ avg 0.01 → last ⅓ avg 0.01

Reaction time552ms−66ms

first ⅓ avg 618ms → last ⅓ avg 552ms

Headshot accuracy21.4%−1.2%

first ⅓ avg 22.6% → last ⅓ avg 21.4%

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 — fachwerk 13–2

13–0Biggest win — boulder

12Longest win streak

5–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 88% over 17mirageWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	A	18	11–7	61%	0.01
cache	S	17	15–2	88%	0.01
inferno	B	15	8–7	53%	-0.00
ancient	A	10	6–4	60%	0.03
nuke	S	9	6–3	67%	0.03
anubis	B	6	3–3	50%	-0.00
mirage	D	5	1–4	20%	-0.01
overpass	—	4	3–1	75%	0.05
fachwerk	—	4	3–1	75%	0.05
vertigo	—	4	3–1	75%	-0.02
train	—	3	1–2	33%	-0.06
boulder	—	3	3–0	100%	0.04
italy	—	1	1–0	100%	-0.05
shelter	—	1	0–1	0%	0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,867Matches

55%Win rate

1.09Avg K/D

75.7ADR

49%Headshot %

Clutches & streaks

39%1v1 clutch win

16%1v2 clutch win

13Longest win streak

Recent Faceit resultsWWWWW

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	147	54%	1.04	15.1
Dust2	89	56%	0.96	15.6
Anubis	79	44%	0.96	14.3
Inferno	74	55%	1.09	16.4
Nuke	51	49%	0.94	14.8
Ancient	43	51%	0.93	14.2
Vertigo	38	50%	1.02	14.7
Overpass	28	71%	1.24	17.9

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.

21.5%Headshot accuracy

38.5%Accuracy (enemy spotted)

41.7%Spray accuracy

89.8%Counter-strafing

9.4°Preaim

546msReaction time

32.4%T opening success

44.7%CT opening success

0.57Enemies flashed / flash

13.0%Flash assists

12.07HE damage / grenade

10.01Flashes / 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 32.3925% — below the 40% mark we flag

Spend your practice time on Mirage

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–7	0.01	29%	27 Aug →
dust2	11–13	0.05	19%	27 Aug →
mirage	12–12	0.05	22%	26 Aug →
cache	13–8	0.05	23%	26 Aug →
train	8–13	-0.07	25%	26 Aug →
dust2	13–5	-0.02	16%	26 Aug →
cache	13–4	-0.02	15%	25 Aug →
overpass	13–2	0.06	21%	25 Aug →
nuke	11–13	-0.02	17%	25 Aug →
fachwerk	13–2	0.14	38%	25 Aug →
ancient	5–13	-0.05	17%	25 Aug →
nuke	13–3	0.04	19%	23 Aug →
ancient	13–5	0.09	24%	23 Aug →
inferno	13–9	0.01	24%	23 Aug →
inferno	13–9	-0.02	9%	22 Aug →
overpass	9–13	0.02	16%	22 Aug →
nuke	13–4	0.03	19%	22 Aug →
dust2	13–7	0.02	16%	22 Aug →
mirage	2–13	-0.02	31%	22 Aug →
cache	13–1	-0.01	38%	16 Aug →
boulder	13–0	0.09	23%	16 Aug →
vertigo	5–13	-0.05	9%	15 Aug →
italy	13–6	-0.05	16%	14 Aug →
train	13–5	-0.03	34%	14 Aug →
ancient	13–10	0.08	36%	11 Aug →
nuke	13–9	0.04	22%	11 Aug →
dust2	13–9	-0.00	32%	11 Aug →
dust2	3–13	-0.04	16%	11 Aug →
mirage	13–10	-0.06	11%	11 Aug →
nuke	13–5	0.05	20%	10 Aug →
vertigo	13–6	-0.08	13%	9 Aug →
cache	13–11	0.03	17%	9 Aug →
cache	8–13	0.00	22%	9 Aug →
inferno	13–7	-0.03	13%	9 Aug →
dust2	15–15	0.02	19%	9 Aug →
inferno	13–16	-0.01	34%	9 Aug →
cache	13–5	0.05	20%	9 Aug →
dust2	0–8	-0.04	7%	8 Aug →
anubis	13–6	0.01	28%	8 Aug →
inferno	3–13	-0.01	20%	8 Aug →
inferno	13–9	0.01	19%	8 Aug →
ancient	13–1	0.04	13%	8 Aug →
anubis	15–15	0.05	20%	8 Aug →
nuke	7–13	0.01	12%	8 Aug →
inferno	8–13	-0.05	21%	8 Aug →
cache	13–4	0.03	20%	8 Aug →
ancient	9–13	0.11	26%	8 Aug →
inferno	9–13	-0.02	23%	7 Aug →
anubis	3–13	-0.07	23%	7 Aug →
cache	13–3	0.08	15%	7 Aug →
fachwerk	8–13	0.04	22%	4 Aug →
boulder	13–11	0.03	21%	4 Aug →
dust2	6–13	0.02	21%	3 Aug →
inferno	13–8	-0.02	14%	3 Aug →
anubis	13–10	0.04	17%	3 Aug →
anubis	0–4	-0.03	100%	3 Aug →
ancient	3–13	-0.04	16%	31 Jul →
dust2	13–7	0.03	16%	29 Jul →
ancient	13–11	0.08	24%	29 Jul →
dust2	13–8	0.07	16%	27 Jul →
dust2	13–7	-0.02	6%	27 Jul →
cache	13–6	-0.00	14%	26 Jul →
inferno	13–3	0.07	20%	26 Jul →
dust2	11–13	-0.00	34%	26 Jul →
inferno	14–16	-0.04	23%	26 Jul →
cache	2–13	-0.10	43%	26 Jul →
shelter	12–12	0.05	19%	26 Jul →
nuke	13–4	0.08	20%	26 Jul →
overpass	13–10	0.08	18%	26 Jul →
dust2	13–8	-0.01	21%	26 Jul →
ancient	13–11	-0.00	16%	26 Jul →
ancient	10–13	0.00	17%	26 Jul →
inferno	15–15	0.01	24%	25 Jul →
mirage	5–13	-0.05	16%	25 Jul →
dust2	13–9	-0.02	32%	23 Jul →
inferno	13–7	-0.04	19%	23 Jul →
inferno	10–13	0.02	25%	22 Jul →
dust2	16–12	0.04	8%	22 Jul →
mirage	14–16	0.01	19%	22 Jul →
fachwerk	13–9	0.04	21%	21 Jul →
vertigo	13–7	-0.01	31%	21 Jul →
cache	13–5	-0.01	36%	21 Jul →
dust2	3–13	0.03	45%	20 Jul →
train	3–13	-0.06	16%	19 Jul →
overpass	13–4	0.04	28%	19 Jul →
cache	13–9	0.01	33%	19 Jul →
boulder	13–8	0.02	25%	19 Jul →
vertigo	13–7	0.05	31%	19 Jul →
cache	13–9	0.02	21%	18 Jul →
cache	13–2	0.00	17%	18 Jul →
fachwerk	13–10	-0.01	24%	18 Jul →
inferno	13–1	0.05	23%	18 Jul →
ancient	13–10	-0.02	19%	18 Jul →
cache	13–1	0.10	12%	18 Jul →
nuke	13–10	-0.01	21%	17 Jul →
anubis	13–10	-0.02	17%	17 Jul →
nuke	11–13	0.01	18%	17 Jul →
cache	13–11	-0.02	35%	16 Jul →
cache	13–9	0.02	21%	16 Jul →
dust2	13–6	0.02	16%	16 Jul →