batlhilz — CS2 Stats

FI76561197999574325[U:1:39308597]Steam profile ↗✓ No bans

1,879Tracked matches33%Win rate2020Tracked since

2,154Hours in CS

CSDB Rating3.6 LearningPassive Rifler

Ladder ranks via Leetify

Performance scores

Aim60

Positioning29

Utility40

0–100 skill scores via Leetify.

Recent form

STEADY40–59–1Last 10040%Win rateLLWWWLLLLW

Last 10 vs previous 10: +0pp win rate · +0.03 avg rating

Player DNA

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

Aim6.0

Aggression3.7

Utility4.0

Positioning2.9

Opening Duels0.4

Clutch2.4

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 74% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning profile; 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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Reaction time. 681ms 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

Aim6.0

Positioning2.9

Utility4.0

Mechanics6.4

Opening Duels0.4

Win Impact0.0

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.03

first ⅓ avg -0.01 → last ⅓ avg -0.04

Reaction time686ms−59ms

first ⅓ avg 745ms → last ⅓ avg 686ms

Headshot accuracy11.6%−2.3%

first ⅓ avg 13.9% → last ⅓ avg 11.6%

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

0.09Best rating — ancient 13–8

13–2Biggest win — nuke

5Longest win streak

L2Current streak

6–6In matches decided by ≤2 rounds

8Overtime games

Map breakdown

mirageBest map · 67% over 6overpassWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	25	11–14	44%	-0.02
ancient	D	24	8–16	33%	-0.03
dust2	C	14	5–9	36%	-0.02
anubis	A	9	5–4	56%	-0.02
inferno	D	9	3–6	33%	-0.03
overpass	D	7	2–5	29%	-0.01
mirage	S	6	4–2	67%	-0.04
cache	—	3	1–2	33%	-0.05
vertigo	—	2	0–2	0%	-0.10
train	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

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

Lifetime stats

86,189Lifetime kills

0.87K/D

5,178Matches

39.5%Match win rate

33.0%Headshot %

19.6%Shot accuracy · Top 5% of tracked players

8,649MVPs

2,154Hours (in match)

5,536Bombs planted

841Bombs defused

Most-used weapons

AK-4721,697

M4A4 / M4A1-S17,937

Galil AR7,933

AWP5,898

P2000 / USP-S4,659

Desert Eagle4,565

FAMAS3,639

Glock-182,724

MP71,846

XM10141,782

Lifetime map wins

6,782inferno

5,606dust2

4,366nuke

1,772train

1,281vertigo

1,036cbble

211lake

69office

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

Faceit stats

Combat

488Matches

48%Win rate

0.81Avg K/D

72.0ADR

35%Headshot %

Clutches & streaks

32%1v1 clutch win

24%1v2 clutch win

10Longest win streak

Recent Faceit resultsWLLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	91	43%	0.79	12.8
Anubis	88	49%	0.83	13.9
Nuke	84	58%	0.84	13.2
Inferno	68	47%	0.85	13.5
Mirage	36	33%	0.73	12.4
Dust2	18	22%	0.72	12.4
Overpass	12	33%	0.71	11.6
Vertigo	7	29%	0.76	12.6

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.

11.9%Headshot accuracy

37.3%Accuracy (enemy spotted)

42.0%Spray accuracy

78.9%Counter-strafing

9.8°Preaim

681msReaction time

32.1%T opening success

31.0%CT opening success

0.43Enemies flashed / flash

2.9%Flash assists

4.38HE damage / grenade

15.96Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.9376% — below the 15% mark we flag
Aim Training →
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 0.4263 — below the 0.5 mark we flag
Grenade Lineups →
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 32.1263% — below the 40% mark we flag

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	5–13	-0.02	6%	26 Aug →
ancient	4–13	-0.04	11%	23 Aug →
anubis	13–5	0.01	14%	22 Aug →
dust2	13–4	-0.02	18%	22 Aug →
ancient	13–8	0.09	9%	22 Aug →
vertigo	4–13	-0.09	12%	22 Aug →
dust2	13–16	-0.02	10%	20 Aug →
ancient	4–13	-0.02	21%	20 Aug →
nuke	5–13	-0.09	13%	31 Jul →
inferno	13–9	-0.02	22%	31 Jul →
ancient	5–13	-0.00	3%	31 Jul →
ancient	25–22	0.03	11%	29 Jul →
ancient	4–13	-0.11	10%	24 Jul →
inferno	6–13	-0.07	2%	23 Jul →
ancient	13–10	-0.05	10%	23 Jul →
dust2	3–13	-0.02	9%	22 Jul →
anubis	1–13	-0.10	15%	22 Jul →
nuke	7–13	-0.04	12%	18 Jul →
nuke	13–11	-0.12	8%	18 Jul →
cache	13–11	-0.06	14%	18 Jul →
cache	8–13	-0.05	12%	16 Jul →
nuke	16–14	-0.05	8%	11 Jul →
cache	10–13	-0.03	15%	11 Jul →
ancient	7–13	-0.05	18%	10 Jul →
nuke	10–13	-0.06	15%	10 Jul →
mirage	5–13	-0.07	18%	4 Jul →
anubis	4–13	-0.05	13%	4 Jul →
dust2	12–16	-0.04	4%	4 Jul →
ancient	11–13	-0.05	15%	4 Jul →
anubis	13–5	-0.02	19%	4 Jul →
nuke	12–16	-0.05	0%	2 Jul →
inferno	10–13	-0.10	9%	2 Jul →
inferno	11–13	-0.04	7%	21 May →
ancient	9–13	-0.08	8%	28 Mar →
nuke	13–10	-0.02	17%	28 Mar →
mirage	13–7	-0.03	11%	20 Mar →
mirage	13–9	-0.04	3%	30 Dec →
ancient	10–13	-0.05	7%	30 Dec →
nuke	9–13	-0.06	4%	30 Dec →
nuke	8–13	-0.04	17%	19 Dec →
overpass	10–13	-0.09	10%	19 Dec →
mirage	2–13	-0.06	11%	19 Dec →
dust2	13–16	-0.03	10%	19 Dec →
vertigo	3–13	-0.11	6%	19 Dec →
dust2	8–13	-0.02	24%	16 Dec →
nuke	13–5	-0.02	16%	13 Dec →
nuke	8–13	-0.04	6%	13 Dec →
dust2	10–13	-0.02	17%	22 Oct →
nuke	4–13	-0.05	23%	15 Oct →
ancient	13–9	-0.02	6%	15 Oct →
dust2	2–13	-0.05	23%	12 Oct →
nuke	13–3	0.05	19%	10 Oct →
ancient	10–13	-0.04	7%	10 Oct →
inferno	2–13	-0.05	14%	9 Oct →
ancient	13–6	0.04	13%	9 Oct →
ancient	3–13	-0.05	21%	28 Sept →
inferno	4–13	-0.04	4%	28 Sept →
inferno	13–3	0.06	7%	24 Sept →
dust2	13–6	0.03	17%	24 Sept →
inferno	19–17	0.01	16%	23 Sept →
nuke	13–2	-0.04	12%	23 Sept →
ancient	7–13	-0.05	2%	23 Sept →
nuke	11–13	-0.03	10%	23 Sept →
nuke	13–6	0.03	12%	18 Aug →
ancient	13–5	-0.02	10%	16 Aug →
overpass	11–13	0.01	15%	16 Aug →
overpass	12–12	0.01	10%	15 Aug →
dust2	13–10	-0.01	13%	15 Aug →
nuke	13–4	0.08	10%	11 Aug →
mirage	13–8	-0.02	8%	9 Aug →
ancient	6–13	0.03	22%	28 Jul →
overpass	5–13	-0.02	17%	28 Jul →
nuke	6–13	0.03	8%	28 Jul →
overpass	13–6	0.00	7%	25 Jul →
nuke	7–13	-0.02	14%	17 Jul →
overpass	13–10	0.06	6%	17 Jul →
overpass	10–13	-0.04	13%	16 Jul →
anubis	13–4	0.02	11%	26 Jun →
nuke	13–10	0.06	24%	26 Jun →
ancient	1–13	-0.07	11%	26 Jun →
nuke	10–13	0.02	20%	2 Jun →
nuke	10–13	-0.03	9%	30 May →
mirage	13–6	0.00	13%	30 May →
anubis	4–13	0.02	12%	30 May →
inferno	8–13	-0.05	20%	29 May →
dust2	16–12	-0.01	20%	29 May →
anubis	13–10	-0.03	23%	28 May →
ancient	11–13	-0.03	13%	28 May →
nuke	13–8	-0.00	16%	28 May →
nuke	7–13	0.00	21%	25 May →
ancient	13–5	-0.01	15%	25 May →
dust2	11–13	-0.02	9%	24 May →
ancient	4–13	-0.06	4%	23 May →
anubis	13–9	0.01	13%	22 May →
ancient	13–11	-0.01	18%	22 May →
dust2	13–10	-0.05	36%	22 May →
nuke	13–3	-0.10	4%	17 May →
train	13–11	-0.03	15%	16 May →
ancient	9–13	-0.01	4%	16 May →
anubis	3–13	-0.05	10%	16 May →