hope — CS2 Stats

76561199060995188[U:1:1100729460]Steam profile ↗✓ No bans

1,421Tracked matches66%Win rate2020Tracked since

CSDB Rating7.4 StrongAggressive Rifler

Premier CS Rating24,838Top 25% of 17,162 CSDB-tracked playersPink band · top ~3.2% of ranked players (population est.)

CSDB Leaderboard#4129 of 27600 tracked

FaceitLevel 10 · 2,424 ELOTop 12.4% of ranked FACEIT players

WingmanSupreme Master First Class

Ladder ranks via Leetify

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Performance scores

Aim93

Positioning61

Utility44

0–100 skill scores via Leetify.

Recent form

HOT51–47–2Last 10051%Win rateTLWWWWWLWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

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

Aim9.3

Aggression8.9

Utility4.4

Positioning6.1

Opening Duels4.0

Clutch3.8

Sharp aimerStrong 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.

Your pro match

Plays most like ropz 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: higher opening-fight frequency.

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 93 — the mechanical foundation is a clear strength.

Areas to improve

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

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 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.3

Positioning6.1

Utility4.4

Mechanics8.1

Opening Duels4.0

Win Impact10.0

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.01

first ⅓ avg 0.02 → last ⅓ avg 0.04

Reaction time535ms−33ms

first ⅓ avg 568ms → last ⅓ avg 535ms

Headshot accuracy28.9%+3.2%

first ⅓ avg 25.8% → last ⅓ avg 28.9%

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

0.27Best rating — inferno 9–6

13–1Biggest win — nuke

6Longest win streak

4–9In matches decided by ≤2 rounds

7Overtime games

Map breakdown

nukeBest map · 86% over 7ancientWeakest map · 20% over 5

Map	Grade	Played	Record	Win rate	Avg rating
dust2	B	29	15–14	52%	0.03
mirage	C	20	8–12	40%	0.01
inferno	A	11	7–4	64%	0.08
anubis	B	8	4–4	50%	0.02
nuke	S	7	6–1	86%	0.08
cache	S	6	4–2	67%	0.06
ancient	D	5	1–4	20%	-0.05
train	—	4	2–2	50%	0.04
vertigo	—	3	2–1	67%	0.11
poseidon	—	2	1–1	50%	0.02
eldorado	—	2	1–1	50%	0.09
debris	—	1	0–1	0%	-0.00
overpass	—	1	0–1	0%	0.03
office	—	1	0–1	0%	-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

988Matches

54%Win rate

1.13Avg K/D

77.4ADR

56%Headshot %

Clutches & streaks

39%1v1 clutch win

22%1v2 clutch win

8Longest win streak

Recent Faceit resultsWLWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	217	53%	1.10	16.0
Dust2	205	50%	1.10	15.4
Anubis	122	55%	1.16	16.2
Ancient	74	49%	1.10	15.5
Inferno	47	47%	1.01	14.8
Nuke	39	67%	1.23	16.5
Overpass	39	62%	1.13	14.6
Train	19	63%	1.08	16.4

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.

32.0%Headshot accuracy

36.8%Accuracy (enemy spotted)

36.0%Spray accuracy

86.5%Counter-strafing

7.9°Preaim

525msReaction time

36.7%T opening success

55.5%CT opening success

0.55Enemies flashed / flash

3.8%Flash assists

9.97HE damage / grenade

5.31Flashes / 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 36.6615% — below the 40% mark we flag

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.

20% win rate across 5 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
anubis	15–15	0.03	38%	29 Aug →
mirage	8–13	0.02	28%	28 Aug →
anubis	13–10	0.08	36%	28 Aug →
dust2	13–9	0.11	25%	28 Aug →
anubis	13–6	0.01	38%	28 Aug →
dust2	16–13	0.06	29%	27 Aug →
cache	13–2	0.17	37%	27 Aug →
dust2	2–13	-0.07	35%	27 Aug →
nuke	16–13	0.00	18%	26 Aug →
poseidon	9–5	0.19	28%	26 Aug →
debris	6–9	-0.00	10%	26 Aug →
eldorado	8–8	-0.04	15%	26 Aug →
inferno	13–6	0.09	18%	25 Aug →
dust2	13–5	0.06	29%	25 Aug →
dust2	6–13	-0.00	42%	24 Aug →
anubis	5–13	-0.01	31%	21 Aug →
dust2	13–5	-0.02	41%	20 Aug →
overpass	6–9	0.03	13%	20 Aug →
mirage	9–13	0.03	28%	19 Aug →
inferno	13–8	0.18	39%	19 Aug →
mirage	13–3	-0.00	16%	19 Aug →
ancient	13–5	-0.05	16%	19 Aug →
nuke	13–6	0.09	44%	18 Aug →
anubis	9–13	-0.06	30%	18 Aug →
dust2	13–6	0.03	41%	16 Aug →
train	7–13	0.02	32%	13 Aug →
inferno	7–9	0.06	19%	13 Aug →
dust2	13–7	0.12	33%	13 Aug →
mirage	10–13	-0.02	21%	12 Aug →
inferno	13–4	0.06	21%	12 Aug →
mirage	13–10	-0.00	32%	12 Aug →
dust2	9–13	-0.02	37%	12 Aug →
train	13–7	0.04	34%	12 Aug →
train	13–7	0.16	51%	12 Aug →
train	0–13	-0.06	46%	12 Aug →
dust2	13–7	0.05	25%	11 Aug →
cache	13–16	0.02	20%	11 Aug →
nuke	7–13	0.04	33%	11 Aug →
dust2	13–8	0.15	31%	11 Aug →
dust2	7–13	0.02	21%	11 Aug →
mirage	8–13	-0.01	28%	11 Aug →
mirage	3–3	0.03	17%	11 Aug →
office	10–13	-0.01	58%	11 Aug →
vertigo	13–8	0.08	42%	11 Aug →
dust2	7–13	0.08	35%	11 Aug →
inferno	7–9	0.09	34%	11 Aug →
nuke	9–7	0.19	19%	11 Aug →
eldorado	9–6	0.22	20%	10 Aug →
inferno	9–6	0.27	23%	10 Aug →
nuke	9–4	0.26	22%	10 Aug →
poseidon	2–9	-0.14	15%	10 Aug →
vertigo	7–9	0.02	37%	10 Aug →
ancient	7–10	-0.00	43%	10 Aug →
ancient	2–13	-0.04	16%	10 Aug →
nuke	13–3	-0.02	24%	10 Aug →
mirage	4–13	-0.00	16%	10 Aug →
mirage	13–6	0.05	23%	10 Aug →
mirage	2–13	-0.06	28%	10 Aug →
mirage	0–2	-0.01	33%	10 Aug →
dust2	13–2	0.03	37%	10 Aug →
dust2	5–9	-0.06	0%	9 Aug →
dust2	13–9	0.04	39%	9 Aug →
mirage	2–0	0.03	100%	9 Aug →
inferno	13–7	0.01	24%	9 Aug →
dust2	4–13	0.06	34%	9 Aug →
dust2	9–13	-0.00	50%	8 Aug →
dust2	4–13	0.00	41%	8 Aug →
cache	11–13	0.01	22%	8 Aug →
dust2	9–13	0.12	35%	31 Jul →
cache	13–5	0.03	33%	31 Jul →
dust2	5–13	-0.04	47%	31 Jul →
dust2	0–13	-0.04	47%	31 Jul →
dust2	13–10	0.12	31%	31 Jul →
mirage	13–6	0.02	19%	31 Jul →
anubis	11–13	0.06	21%	31 Jul →
dust2	9–13	0.00	28%	31 Jul →
ancient	1–13	-0.11	15%	31 Jul →
mirage	2–9	0.04	26%	31 Jul →
inferno	2–9	-0.19	17%	30 Jul →
inferno	7–9	0.20	26%	30 Jul →
inferno	9–4	0.12	14%	30 Jul →
vertigo	9–0	0.22	24%	30 Jul →
mirage	13–5	0.03	16%	30 Jul →
dust2	10–13	-0.05	15%	30 Jul →
dust2	6–1	0.05	15%	30 Jul →
dust2	13–8	0.04	24%	30 Jul →
anubis	13–11	-0.02	33%	29 Jul →
anubis	13–5	0.07	20%	29 Jul →
mirage	16–13	0.08	19%	29 Jul →
dust2	16–13	-0.04	8%	29 Jul →
mirage	11–13	0.02	23%	29 Jul →
inferno	16–13	-0.06	23%	28 Jul →
nuke	13–1	-0.00	32%	28 Jul →
mirage	3–13	-0.03	29%	28 Jul →
cache	13–8	0.07	32%	27 Jul →
mirage	11–13	-0.07	29%	27 Jul →
dust2	13–9	0.06	31%	27 Jul →
mirage	6–13	0.03	42%	27 Jul →
cache	5–0	0.05	40%	27 Jul →
ancient	5–13	-0.03	13%	26 Jul →