st0ra5 — CS2 Stats

76561198018464200[U:1:58198472]✓ No bans

884Tracked matches59%Win rate2020Tracked since

CSDB Rating6.9 SolidAggressive Rifler

Premier CS Rating21,624Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.7% of ranked players (population est.)

FaceitLevel 10Top 12.4% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim92

Positioning53

Utility49

0–100 skill scores via Leetify.

Recent form

HOT52–43–5Last 10052%Win rateWLLWLWWWWW

Last 10 vs previous 10: +30pp win rate · -0.01 avg rating

Player DNA

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

Aim9.2

Aggression7.0

Utility4.9

Positioning5.3

Opening Duels2.4

Clutch2.2

Sharp aimer

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 92% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower 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 92 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 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.

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

Aim9.2

Positioning5.3

Utility4.9

Mechanics8.1

Opening Duels2.4

Win Impact7.9

Composite 6.9/10 (Solid), 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 rating0.02+0.01

first ⅓ avg 0.01 → last ⅓ avg 0.02

Reaction time540ms−22ms

first ⅓ avg 562ms → last ⅓ avg 540ms

Headshot accuracy29.9%+2.9%

first ⅓ avg 27.0% → last ⅓ avg 29.9%

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

0.16Best rating — cache 13–4

13–1Biggest win — inferno

5Longest win streak

9–7In matches decided by ≤2 rounds

11Overtime games

Map breakdown

cacheBest map · 75% over 16ancientWeakest map · 27% over 11

Map	Grade	Played	Record	Win rate	Avg rating
nuke	C	18	8–10	44%	0.00
anubis	B	17	9–8	53%	0.01
cache	S	16	12–4	75%	0.03
dust2	B	13	7–6	54%	0.02
ancient	D	11	3–8	27%	-0.00
inferno	B	11	5–6	45%	0.01
mirage	A	11	6–5	55%	0.01
vertigo	—	1	0–1	0%	-0.02
boulder	—	1	1–0	100%	-0.03
overpass	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,110Matches

53%Win rate

1.17Avg K/D

78.8ADR

54%Headshot %

Clutches & streaks

31%1v1 clutch win

19%1v2 clutch win

12Longest win streak

Recent Faceit resultsLLWWL

Map	Matches	Win rate	Avg K/D	Avg kills
Anubis	50	52%	1.04	16.8
Ancient	36	58%	0.99	15.3
Inferno	24	58%	0.97	15.3
Nuke	20	65%	0.95	14.2
Mirage	15	53%	1.04	12.6
Dust2	8	50%	0.86	16.1
Train	5	60%	1.26	20.0
Vertigo	3	67%	2.34	13.0

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.

29.7%Headshot accuracy

32.8%Accuracy (enemy spotted)

36.4%Spray accuracy

86.6%Counter-strafing

6.6°Preaim

527msReaction time

36.8%T opening success

42.0%CT opening success

0.43Enemies flashed / flash

6.3%Flash assists

7.48HE damage / grenade

6.96Flashes / 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.

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 0.4278 — 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 36.811% — 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.

27% win rate across 11 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
cache	16–14	-0.02	38%	28 Aug →
anubis	14–16	0.01	26%	27 Aug →
ancient	10–13	0.05	24%	26 Aug →
cache	13–11	0.03	39%	26 Aug →
inferno	4–13	-0.05	19%	25 Aug →
anubis	13–11	0.03	24%	24 Aug →
cache	13–11	-0.04	24%	23 Aug →
nuke	13–10	0.06	37%	20 Aug →
inferno	13–10	0.00	18%	19 Aug →
nuke	13–5	0.00	23%	18 Aug →
nuke	5–13	0.01	17%	17 Aug →
anubis	10–13	-0.04	17%	6 Aug →
nuke	13–9	0.06	34%	5 Aug →
vertigo	1–13	-0.02	55%	29 Jul →
anubis	13–11	-0.00	41%	29 Jul →
nuke	10–13	0.05	27%	29 Jul →
inferno	13–5	0.08	33%	22 Jul →
nuke	4–13	0.00	37%	22 Jul →
cache	8–13	-0.08	19%	19 Jul →
inferno	13–1	0.13	16%	19 Jul →
nuke	6–13	-0.04	39%	19 Jul →
mirage	13–10	0.10	35%	19 Jul →
cache	15–15	-0.01	43%	18 Jul →
dust2	3–13	-0.00	28%	17 Jul →
cache	13–8	0.09	27%	17 Jul →
ancient	16–13	0.08	25%	16 Jul →
cache	13–2	0.02	21%	15 Jul →
cache	13–11	0.10	35%	14 Jul →
mirage	7–13	0.01	26%	14 Jul →
cache	13–7	0.03	34%	13 Jul →
nuke	13–9	-0.01	35%	13 Jul →
dust2	11–13	0.05	34%	12 Jul →
mirage	14–16	-0.00	34%	11 Jul →
cache	13–4	0.16	48%	11 Jul →
dust2	16–12	0.04	24%	10 Jul →
mirage	15–15	-0.04	25%	9 Jul →
inferno	8–13	-0.03	28%	9 Jul →
boulder	13–2	-0.03	27%	9 Jul →
cache	9–13	0.02	31%	8 Jul →
cache	13–4	0.02	37%	8 Jul →
cache	13–2	-0.03	31%	7 Jul →
cache	13–7	0.10	15%	7 Jul →
nuke	12–16	-0.01	23%	1 Jul →
anubis	9–13	-0.03	32%	25 Jun →
anubis	11–13	-0.05	17%	23 Jun →
ancient	1–13	-0.08	27%	23 Jun →
nuke	13–10	0.04	42%	23 Jun →
nuke	5–13	-0.04	37%	23 Jun →
anubis	13–5	0.06	23%	23 Jun →
ancient	11–13	-0.02	17%	17 Jun →
ancient	2–13	0.00	29%	10 Jun →
inferno	6–13	-0.08	38%	8 Jun →
anubis	3–13	-0.06	37%	8 Jun →
inferno	16–12	-0.02	13%	4 Jun →
inferno	13–9	0.06	32%	28 May →
anubis	13–10	0.00	27%	28 May →
nuke	4–13	-0.03	38%	20 May →
ancient	13–7	-0.02	20%	18 May →
dust2	7–13	0.07	25%	18 May →
inferno	6–13	-0.05	35%	15 May →
anubis	11–13	0.01	34%	13 May →
cache	13–4	0.08	25%	12 May →
dust2	10–13	-0.05	35%	12 May →
anubis	13–11	-0.02	32%	10 May →
dust2	13–7	0.07	36%	9 May →
ancient	13–11	0.06	27%	9 May →
anubis	13–11	0.02	25%	8 May →
dust2	4–13	-0.06	9%	8 May →
ancient	11–13	-0.07	23%	7 May →
nuke	13–7	-0.07	17%	7 May →
mirage	13–6	0.08	38%	7 May →
nuke	7–13	0.01	30%	6 May →
dust2	13–10	0.01	17%	6 May →
anubis	15–15	0.01	20%	6 May →
dust2	13–7	0.02	40%	6 May →
mirage	13–3	0.11	42%	6 May →
ancient	10–13	-0.06	21%	5 May →
nuke	13–8	0.03	26%	5 May →
mirage	13–9	-0.00	18%	5 May →
cache	12–12	0.03	16%	4 May →
dust2	13–4	0.02	28%	4 May →
nuke	4–13	-0.07	23%	4 May →
mirage	13–3	-0.05	22%	4 May →
dust2	5–13	-0.04	31%	4 May →
dust2	13–9	0.06	27%	4 May →
inferno	8–13	0.03	24%	3 May →
nuke	13–7	0.09	24%	3 May →
overpass	13–3	0.08	29%	2 May →
nuke	7–13	0.01	35%	2 May →
anubis	13–6	-0.00	32%	1 May →
mirage	5–13	-0.06	26%	1 May →
inferno	6–13	-0.01	23%	30 Apr →
anubis	15–15	0.05	33%	30 Apr →
ancient	8–13	-0.02	30%	30 Apr →
mirage	13–4	-0.05	21%	30 Apr →
anubis	13–4	0.02	47%	30 Apr →
mirage	9–13	-0.01	37%	30 Apr →
dust2	13–10	0.03	29%	29 Apr →
anubis	13–3	0.10	22%	29 Apr →
ancient	7–13	0.07	31%	29 Apr →