Hotstepper — CS2 Stats

76561197984491109[U:1:24225381]Steam profile ↗✓ No bans

2,867Tracked matches57%Win rate2020Tracked since

CSDB Rating7.4 StrongPositional Player

FaceitLevel 10 · 2,432 ELOTop 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim84

Positioning74

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateLLLWLLLWWW

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +1.7pp headshot accuracy · −40ms reaction

Win rate down 20pp 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

1–4 · 20% win rate
Avg rating -0.01
Avg headshot accuracy 15%
Avg reaction 428ms

Last 10

4–6 · 40% win rate
Avg rating 0.01
Avg headshot accuracy 17%
Avg reaction 462ms

Last 20

10–10 · 50% win rate
Avg rating 0.01
Avg headshot accuracy 16%
Avg reaction 482ms

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: Positional Player — Positioning stands above the rest of this profile (+1 against its own average).

Aim8.4

Utility7.3

Positioning7.4

Opening Duels7.0

Clutch3.8

Strong CT-side opener

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 m0NESY 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

CT openings. 72% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 62% T opening-duel success — entries that actually open the round.

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

Aim8.4

Positioning7.4

Utility7.3

Mechanics4.6

Opening Duels9.0

Win Impact7.2

Composite 7.4/10 (Strong), 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 rating0.03+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.03

Reaction time503ms−51ms

first ⅓ avg 554ms → last ⅓ avg 503ms

Headshot accuracy16.7%−1.8%

first ⅓ avg 18.6% → last ⅓ avg 16.7%

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.

Personal bests

0.17Best match rating · 13–5 · inferno, 15 Oct →

39%Best headshot accuracy · 2–13 · ancient, 15 Jun →

344msFastest reaction time · 13–2 · anubis, 9 Nov →

13–1Biggest win · cache, 12 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak

L3Current streak

7–6In matches decided by ≤2 rounds

16Overtime games

Map breakdown

anubisBest map · 79% over 14ancientWeakest map · 46% over 13

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	17	9–8	53%	0.03
nuke	A	16	9–7	56%	0.02
mirage	B	14	7–7	50%	0.00
anubis	S	14	11–3	79%	0.03
cache	B	13	7–6	54%	0.02
ancient	B	13	6–7	46%	0.01
inferno	B	6	3–3	50%	0.04
overpass	—	3	2–1	67%	0.04
vertigo	—	2	1–1	50%	0.05
train	—	2	0–2	0%	0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5,237Matches

50%Win rate

1.13Avg K/D

84.7ADR

38%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

9Longest win streak

Recent Faceit resultsLWWLW

Map	Matches	Win rate	Avg K/D	Avg kills
Ancient	389	52%	1.14	17.4
Mirage	378	49%	1.20	17.8
Nuke	377	52%	1.21	18.3
Anubis	325	53%	1.18	18.1
Inferno	171	52%	1.11	17.1
Dust2	126	43%	1.14	17.3
Overpass	123	59%	1.22	18.4
Vertigo	106	47%	1.12	17.1

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.

17.0%Headshot accuracy

40.6%Accuracy (enemy spotted)

44.1%Spray accuracy

70.9%Counter-strafing

8.6°Preaim

493msReaction time

61.9%T opening success

71.7%CT opening success

0.69Enemies flashed / flash

12.1%Flash assists

10.40HE damage / grenade

15.92Flashes / match

Recommended for you

Spend your practice time on Ancient

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

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
nuke	3–13	-0.09	6%	12 Nov →
mirage	7–13	-0.05	26%	11 Nov →
nuke	10–13	0.01	20%	9 Nov →
anubis	13–2	0.05	9%	9 Nov →
anubis	5–13	0.05	17%	5 Nov →
nuke	12–16	-0.02	20%	2 Nov →
dust2	12–16	0.00	24%	2 Nov →
mirage	13–5	0.06	15%	2 Nov →
anubis	13–8	0.04	17%	2 Nov →
anubis	13–7	0.08	18%	1 Nov →
mirage	13–2	0.10	7%	26 Oct →
anubis	13–11	0.06	24%	26 Oct →
cache	13–2	0.11	15%	26 Oct →
cache	22–25	0.03	11%	25 Oct →
cache	5–13	-0.06	17%	22 Oct →
anubis	13–6	-0.03	10%	21 Oct →
ancient	7–13	-0.02	23%	21 Oct →
cache	13–11	-0.00	14%	19 Oct →
cache	13–3	-0.01	20%	19 Oct →
inferno	4–13	-0.00	12%	17 Oct →
ancient	13–6	0.06	20%	17 Oct →
nuke	16–13	0.04	17%	17 Oct →
ancient	10–13	-0.00	11%	16 Oct →
cache	8–13	0.05	16%	16 Oct →
inferno	13–5	0.17	20%	15 Oct →
dust2	13–8	0.04	16%	15 Oct →
dust2	13–6	0.01	23%	13 Oct →
dust2	6–13	0.04	30%	12 Oct →
cache	13–1	0.03	13%	12 Oct →
nuke	19–16	0.05	16%	9 Oct →
anubis	13–3	0.03	5%	9 Oct →
dust2	14–16	-0.03	18%	8 Oct →
dust2	13–5	0.07	24%	7 Oct →
ancient	13–7	0.00	9%	7 Oct →
dust2	9–13	0.04	21%	6 Oct →
cache	13–10	-0.02	26%	6 Oct →
dust2	13–9	0.03	25%	6 Oct →
mirage	13–9	0.12	32%	6 Oct →
ancient	14–16	0.01	9%	5 Oct →
nuke	13–8	0.05	17%	5 Oct →
ancient	3–13	-0.04	11%	5 Oct →
mirage	2–13	-0.11	14%	3 Oct →
anubis	13–8	0.00	7%	3 Oct →
dust2	13–4	0.03	18%	3 Oct →
cache	11–13	0.05	24%	3 Oct →
dust2	13–8	0.07	19%	2 Oct →
dust2	11–13	-0.05	20%	1 Oct →
mirage	9–13	0.02	19%	1 Oct →
anubis	16–14	0.01	23%	30 Sept →
nuke	13–4	0.13	27%	17 Sept →
dust2	9–13	0.04	19%	17 Sept →
anubis	11–13	-0.02	19%	16 Sept →
vertigo	13–6	0.09	28%	5 Sept →
nuke	13–11	0.05	14%	14 Aug →
nuke	13–10	-0.05	22%	23 Jul →
mirage	16–14	-0.05	8%	18 Jul →
dust2	13–3	0.03	16%	14 Jul →
nuke	13–11	0.04	20%	1 Jul →
ancient	13–8	-0.02	4%	1 Jul →
overpass	13–9	0.06	12%	1 Jul →
dust2	11–13	0.11	16%	25 Jun →
nuke	4–13	0.03	22%	24 Jun →
inferno	13–9	0.05	19%	23 Jun →
cache	3–13	-0.03	21%	22 Jun →
dust2	6–13	-0.03	6%	15 Jun →
ancient	2–13	-0.06	39%	15 Jun →
nuke	13–16	-0.00	32%	25 May →
nuke	9–13	0.02	13%	21 May →
mirage	13–8	0.07	26%	21 May →
overpass	12–16	0.03	27%	12 May →
nuke	4–13	0.03	19%	9 May →
anubis	9–13	0.03	23%	8 May →
inferno	13–10	0.07	22%	7 May →
train	9–13	0.07	14%	7 May →
ancient	13–10	0.05	21%	7 May →
cache	6–13	0.05	12%	7 May →
ancient	19–22	0.04	16%	6 May →
nuke	16–14	0.00	10%	5 May →
mirage	7–13	-0.03	19%	3 May →
ancient	6–13	0.02	16%	3 May →
mirage	13–9	0.02	13%	2 May →
cache	13–8	0.05	20%	1 May →
ancient	13–8	0.06	16%	29 Apr →
anubis	13–7	0.02	19%	29 Apr →
cache	16–13	0.02	25%	29 Apr →
dust2	10–5	-0.00	13%	28 Apr →
nuke	13–8	-0.01	13%	27 Apr →
train	5–13	-0.04	30%	27 Apr →
anubis	13–2	0.12	20%	26 Apr →
inferno	7–13	-0.01	10%	25 Apr →
anubis	13–9	0.03	10%	25 Apr →
dust2	16–12	0.05	16%	25 Apr →
mirage	13–9	0.00	38%	25 Apr →
inferno	3–13	-0.03	13%	24 Apr →
overpass	16–12	0.01	24%	23 Apr →
mirage	7–13	-0.07	20%	21 Apr →
mirage	7–13	-0.01	14%	15 Apr →
vertigo	10–13	0.01	13%	15 Apr →
ancient	13–1	0.09	20%	9 Apr →
mirage	2–13	-0.05	29%	9 Apr →