S4ber — CS2 Stats

PL76561199090372133[U:1:1130106405]Steam profile ↗✓ No bans

1,183Tracked matches53%Win rate2023Tracked since

CSDB Rating6.2 SolidAggressive Rifler

Premier CS Rating19,894Purple band · top ~8.9% of ranked players (population est.)

CSDB Leaderboard#10223 of 23306 tracked

FaceitLevel 9 · 1,809 ELOTop 20.7% of ranked FACEIT players

WingmanMaster Guardian Elite

Ladder ranks via Leetify

Share this profile

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim71

Positioning58

Utility73

0–100 skill scores via Leetify.

Recent form

STEADY56–40–4Last 10056%Win rateLWWLWLWLLL

Last 10 vs previous 10: -10pp win rate · +0.05 avg rating

Player DNA

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

Aim7.1

Aggression7.7

Utility7.3

Positioning5.8

Opening Duels2.8

Clutch3.2

Effective flashes

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 Twistzz 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher opening-fight frequency; 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

Reaction time. 629ms 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

Aim7.1

Positioning5.8

Utility7.3

Mechanics6.0

Opening Duels2.8

Win Impact6.1

Composite 6.2/10 (Solid), 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 rating0.01−0.01

first ⅓ avg 0.02 → last ⅓ avg 0.01

Reaction time654ms+32ms

first ⅓ avg 622ms → last ⅓ avg 654ms

Headshot accuracy23.4%+3.4%

first ⅓ avg 20.0% → last ⅓ avg 23.4%

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

0.48Best rating — inferno 9–1

13–0Biggest win — cache

6Longest win streak

9–7In matches decided by ≤2 rounds

7Overtime games

Map breakdown

dust2Best map · 83% over 6ancientWeakest map · 47% over 19

Map	Grade	Played	Record	Win rate	Avg rating
mirage	A	23	13–10	57%	0.01
inferno	B	21	11–10	52%	0.04
ancient	B	19	9–10	47%	0.01
nuke	A	12	7–5	58%	0.01
anubis	A	9	5–4	56%	0.01
dust2	S	6	5–1	83%	0.00
cache	A	5	3–2	60%	0.04
overpass	—	2	2–0	100%	0.08
office	—	1	0–1	0%	0.07
vertigo	—	1	0–1	0%	-0.15
train	—	1	1–0	100%	0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (47% over 19). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

882Matches

51%Win rate

0.98Avg K/D

77.5ADR

50%Headshot %

Clutches & streaks

36%1v1 clutch win

21%1v2 clutch win

7Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	247	55%	1.04	15.6
Ancient	203	55%	0.97	15.3
Anubis	137	48%	0.97	15.0
Dust2	100	45%	0.89	14.0
Nuke	89	52%	1.10	16.0
Inferno	39	41%	0.82	13.9
Train	28	64%	0.83	14.8
Overpass	19	42%	0.94	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.

23.8%Headshot accuracy

34.9%Accuracy (enemy spotted)

37.4%Spray accuracy

77.1%Counter-strafing

10.1°Preaim

629msReaction time

36.8%T opening success

45.8%CT opening success

0.71Enemies flashed / flash

18.1%Flash assists

9.47HE damage / grenade

9.47Flashes / 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 36.7545% — 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.

47% win rate across 19 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
inferno	8–13	0.03	33%	27 Aug →
mirage	6–0	0.21	32%	25 Aug →
inferno	16–13	0.04	25%	20 Aug →
mirage	11–13	-0.03	20%	20 Aug →
ancient	16–14	0.00	19%	5 Aug →
anubis	3–9	-0.04	0%	31 Jul →
dust2	13–7	0.05	23%	31 Jul →
mirage	2–2	0.05	9%	31 Jul →
ancient	4–13	-0.03	28%	31 Jul →
anubis	7–13	0.00	15%	31 Jul →
inferno	2–13	-0.09	33%	31 Jul →
dust2	13–4	0.02	24%	31 Jul →
nuke	13–10	-0.04	17%	31 Jul →
nuke	8–13	-0.02	19%	27 Jul →
inferno	9–4	0.07	21%	26 Jul →
inferno	3–9	-0.06	45%	26 Jul →
inferno	13–11	0.05	32%	25 Jul →
cache	13–0	-0.05	16%	25 Jul →
mirage	0–13	-0.09	0%	25 Jul →
anubis	5–13	0.01	31%	25 Jul →
inferno	11–13	0.02	24%	24 Jul →
ancient	10–13	-0.02	26%	24 Jul →
ancient	13–4	0.03	15%	24 Jul →
anubis	13–10	0.05	38%	24 Jul →
overpass	9–6	0.16	26%	24 Jul →
mirage	13–10	-0.01	15%	23 Jul →
dust2	9–13	-0.04	34%	23 Jul →
anubis	13–8	0.06	28%	23 Jul →
inferno	13–6	0.03	20%	23 Jul →
ancient	13–10	0.00	28%	23 Jul →
ancient	5–13	-0.09	14%	23 Jul →
inferno	13–9	-0.04	38%	23 Jul →
cache	13–2	0.05	24%	23 Jul →
ancient	9–13	0.06	39%	23 Jul →
mirage	12–12	-0.04	23%	22 Jul →
cache	10–13	-0.02	19%	22 Jul →
mirage	5–13	0.00	27%	22 Jul →
inferno	3–9	-0.06	27%	20 Jul →
inferno	9–6	0.05	38%	19 Jul →
nuke	9–7	0.01	23%	19 Jul →
nuke	9–2	0.05	33%	19 Jul →
inferno	3–9	-0.14	47%	19 Jul →
inferno	9–5	0.24	31%	19 Jul →
nuke	1–13	-0.08	48%	17 Jul →
dust2	13–3	0.01	20%	17 Jul →
ancient	13–16	0.01	20%	17 Jul →
nuke	13–4	0.09	26%	17 Jul →
mirage	13–6	-0.07	18%	16 Jul →
anubis	4–13	-0.06	25%	14 Jul →
mirage	10–13	-0.08	11%	14 Jul →
ancient	13–10	-0.00	30%	14 Jul →
mirage	13–3	0.12	29%	14 Jul →
inferno	9–1	0.48	50%	12 Jul →
cache	4–10	0.13	28%	12 Jul →
office	3–13	0.07	29%	12 Jul →
cache	13–0	0.09	25%	12 Jul →
ancient	15–15	-0.04	30%	12 Jul →
nuke	5–3	0.00	22%	12 Jul →
nuke	7–9	0.01	22%	10 Jul →
vertigo	3–9	-0.15	42%	10 Jul →
nuke	12–12	0.03	13%	10 Jul →
nuke	8–8	0.07	25%	3 Jul →
ancient	13–6	0.20	27%	3 Jul →
inferno	11–13	0.04	32%	3 Jul →
nuke	13–5	-0.04	19%	2 Jul →
inferno	9–6	0.10	24%	2 Jul →
inferno	7–9	-0.02	27%	2 Jul →
mirage	13–9	0.02	20%	27 Jun →
anubis	13–11	-0.02	25%	26 Jun →
mirage	11–13	-0.01	20%	26 Jun →
mirage	13–7	-0.06	15%	26 Jun →
mirage	10–13	-0.01	29%	25 Jun →
mirage	13–11	0.03	20%	24 Jun →
inferno	13–4	0.01	27%	24 Jun →
anubis	13–8	0.07	17%	22 Jun →
ancient	5–13	-0.05	13%	22 Jun →
mirage	7–13	-0.03	15%	22 Jun →
nuke	13–8	0.03	21%	22 Jun →
ancient	10–13	-0.00	6%	17 Jun →
mirage	16–13	0.05	20%	13 Jun →
mirage	13–8	0.05	19%	11 Jun →
ancient	8–13	0.03	18%	11 Jun →
ancient	13–5	-0.01	15%	31 May →
train	13–3	0.08	37%	29 May →
ancient	13–4	0.05	11%	29 May →
dust2	13–9	-0.01	40%	24 May →
ancient	13–8	0.04	16%	23 May →
mirage	13–10	0.05	26%	22 May →
inferno	8–13	0.16	25%	21 May →
ancient	13–11	0.09	26%	21 May →
ancient	8–13	-0.00	11%	20 May →
mirage	13–4	0.05	11%	20 May →
dust2	13–10	-0.00	20%	20 May →
inferno	13–2	0.10	23%	17 May →
mirage	7–13	-0.03	18%	17 May →
overpass	13–11	0.00	19%	17 May →
mirage	13–11	-0.01	20%	17 May →
anubis	16–13	-0.03	24%	6 May →
inferno	4–13	-0.07	10%	6 May →
mirage	16–12	-0.03	20%	3 May →