souljabetter — CS2 Stats

76561199227446049[U:1:1267180321]Steam profile ↗✓ No bans

2,093Tracked matches57%Win rate2022Tracked since

CSDB Rating5.6 SolidAggressive Rifler

FaceitLevel 5 · 1,101 ELOTop 67.6% of ranked FACEIT players

Ladder ranks via Leetify

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Performance scores

Aim76

Positioning51

Utility50

0–100 skill scores via Leetify.

Recent form

STEADY52–48Last 10052%Win rateLWWWLWWWLL

Last 10 vs previous 10: +0pp win rate · +0.01 avg rating

Player DNA

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

Aim7.6

Aggression6.9

Utility5.0

Positioning5.1

Opening Duels2.7

Clutch2.6

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.

Your pro match

Plays most like ropz 89% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower opening-duel success; 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

T-side openings. Opening success drops from 51% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 601ms 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

Aim7.6

Positioning5.1

Utility5.0

Mechanics7.7

Opening Duels2.7

Win Impact7.2

Composite 5.6/10 (Solid), 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-0.01+0.03

first ⅓ avg -0.04 → last ⅓ avg -0.01

Reaction time609ms−74ms

first ⅓ avg 683ms → last ⅓ avg 609ms

Headshot accuracy17.9%−1.3%

first ⅓ avg 19.2% → last ⅓ avg 17.9%

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

0.10Best rating — mirage 13–9

13–3Biggest win — vertigo

4Longest win streak

13–7In matches decided by ≤2 rounds

14Overtime games

Map breakdown

vertigoBest map · 100% over 5anubisWeakest map · 25% over 8

Map	Grade	Played	Record	Win rate	Avg rating
mirage	B	31	14–17	45%	-0.03
nuke	A	14	8–6	57%	-0.04
dust2	B	13	6–7	46%	-0.04
ancient	S	12	9–3	75%	-0.02
cache	C	9	4–5	44%	-0.04
anubis	D	8	2–6	25%	-0.01
vertigo	S	5	5–0	100%	-0.01
inferno	A	5	3–2	60%	-0.01
train	—	2	1–1	50%	-0.03
overpass	—	1	0–1	0%	-0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,051Matches

49%Win rate

0.90Avg K/D

74.9ADR

48%Headshot %

Clutches & streaks

33%1v1 clutch win

17%1v2 clutch win

13Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	771	50%	0.91	14.8
Ancient	317	48%	0.93	15.4
Dust2	245	48%	0.86	13.9
Nuke	234	48%	0.88	14.5
Inferno	166	51%	0.80	13.5
Anubis	126	48%	0.93	15.3
Vertigo	61	54%	0.93	15.1
Cache	45	44%	0.90	15.3

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.

17.9%Headshot accuracy

36.5%Accuracy (enemy spotted)

40.9%Spray accuracy

84.7%Counter-strafing

9.9°Preaim

601msReaction time

30.2%T opening success

51.2%CT opening success

0.48Enemies flashed / flash

5.5%Flash assists

8.50HE damage / grenade

10.49Flashes / 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 0.4812 — 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 30.2212% — below the 40% mark we flag

Spend your practice time on Anubis

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

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	11–13	0.08	23%	17 Aug →
mirage	13–8	0.04	20%	16 Aug →
vertigo	13–5	0.02	10%	16 Aug →
nuke	16–13	-0.01	18%	16 Aug →
dust2	9–13	-0.02	16%	15 Aug →
nuke	16–14	-0.04	17%	14 Aug →
vertigo	13–4	0.06	29%	14 Aug →
vertigo	13–3	-0.07	16%	11 Aug →
mirage	8–13	-0.02	15%	11 Aug →
cache	7–13	-0.04	28%	11 Aug →
mirage	8–13	-0.03	16%	10 Aug →
vertigo	16–14	-0.03	5%	10 Aug →
cache	6–13	-0.03	9%	10 Aug →
cache	13–9	-0.04	12%	10 Aug →
nuke	13–9	-0.02	16%	10 Aug →
mirage	13–9	0.01	15%	10 Aug →
mirage	3–13	-0.00	16%	9 Aug →
dust2	3–13	-0.05	17%	8 Aug →
ancient	13–5	0.06	20%	7 Aug →
inferno	13–9	0.00	24%	5 Aug →
vertigo	16–13	-0.02	24%	5 Aug →
anubis	10–13	0.01	28%	4 Aug →
mirage	8–0	-0.04	25%	26 Jul →
mirage	9–13	-0.01	13%	24 Jul →
nuke	6–13	0.03	23%	21 Jul →
mirage	6–13	-0.07	16%	21 Jul →
nuke	13–9	-0.01	16%	21 Jul →
mirage	13–10	-0.03	17%	18 Jul →
mirage	13–4	0.04	11%	16 Jul →
mirage	5–13	-0.05	31%	7 Jul →
mirage	7–13	-0.04	11%	13 Jun →
ancient	13–10	0.04	21%	10 Jun →
inferno	13–3	0.02	14%	9 Jun →
mirage	8–13	-0.08	18%	31 May →
dust2	5–13	-0.12	12%	31 May →
ancient	13–3	-0.05	32%	31 May →
cache	13–9	-0.02	25%	28 May →
mirage	7–13	-0.00	16%	28 May →
cache	9–13	-0.01	28%	26 May →
cache	1–13	-0.07	0%	21 May →
mirage	22–20	-0.02	15%	20 May →
ancient	13–9	-0.07	28%	19 May →
mirage	13–11	-0.07	7%	12 May →
dust2	13–8	-0.02	23%	12 May →
mirage	14–16	-0.05	29%	11 May →
dust2	13–9	0.02	28%	11 May →
nuke	8–13	-0.05	20%	10 May →
cache	10–13	-0.05	18%	5 May →
mirage	10–13	-0.01	19%	5 May →
ancient	13–9	-0.01	21%	5 May →
cache	13–8	-0.06	7%	5 May →
inferno	11–13	-0.08	11%	4 May →
nuke	6–13	-0.08	14%	3 May →
cache	13–10	-0.04	9%	3 May →
nuke	13–10	-0.02	18%	3 May →
mirage	13–9	0.10	22%	3 May →
mirage	13–10	-0.08	18%	29 Apr →
dust2	9–13	-0.06	18%	28 Apr →
nuke	13–8	-0.04	30%	28 Apr →
anubis	11–13	0.01	27%	28 Apr →
ancient	16–14	-0.05	10%	27 Apr →
mirage	12–16	-0.07	5%	27 Apr →
anubis	10–13	-0.02	18%	27 Apr →
inferno	13–11	0.05	35%	26 Apr →
mirage	13–7	-0.03	9%	26 Apr →
nuke	20–22	-0.07	27%	24 Apr →
dust2	11–13	-0.07	21%	24 Apr →
mirage	7–13	-0.09	35%	23 Apr →
ancient	13–11	-0.04	10%	14 Apr →
ancient	5–13	-0.03	8%	13 Apr →
mirage	6–13	-0.07	15%	9 Apr →
mirage	8–13	-0.10	38%	4 Apr →
mirage	13–9	-0.03	15%	19 Mar →
mirage	3–13	-0.10	27%	18 Mar →
anubis	13–5	0.00	38%	18 Mar →
nuke	2–13	-0.10	27%	18 Mar →
nuke	13–8	-0.06	10%	18 Mar →
mirage	13–11	-0.05	10%	4 Mar →
anubis	9–13	-0.04	25%	7 Feb →
anubis	16–13	-0.05	15%	6 Feb →
mirage	13–11	0.00	24%	5 Feb →
anubis	11–13	0.02	15%	1 Feb →
anubis	9–13	-0.03	14%	31 Jan →
ancient	8–13	0.04	19%	31 Jan →
nuke	10–13	-0.04	14%	29 Jan →
ancient	19–17	-0.03	17%	28 Jan →
nuke	13–3	-0.01	32%	24 Jan →
ancient	8–13	-0.04	12%	23 Jan →
mirage	16–14	-0.05	17%	23 Jan →
inferno	13–16	-0.05	21%	7 Jan →
train	13–11	-0.00	16%	5 Jan →
dust2	7–13	-0.07	18%	4 Jan →
dust2	13–7	-0.13	14%	4 Jan →
dust2	13–10	0.02	16%	3 Jan →
mirage	4–13	-0.03	19%	3 Jan →
dust2	13–4	-0.02	12%	2 Jan →
ancient	13–11	-0.02	14%	2 Jan →
dust2	13–10	-0.08	12%	2 Jan →
overpass	5–13	-0.10	33%	2 Jan →
train	13–16	-0.05	23%	2 Jan →