Sabre — CS2 Stats

76561199095221952[U:1:1134956224]Steam profile ↗✓ No bans

409Tracked matches57%Win rate2025Tracked since

CSDB Rating3.6 Learning

Premier CS Rating1,147Grey band · top ~95.1% of ranked players (population est.)

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

Aim33

Positioning51

Utility27

0–100 skill scores via Leetify.

Recent form

HOT46–47–7Last 10046%Win rateWWWWWWWWLW

Last 10 vs previous 10: +50pp win rate · -0.06 avg rating

Player DNA

Aim3.3

Aggression5.5

Utility2.7

Positioning5.1

Opening Duels0.8

Clutch0.0

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 NiKo 76% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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. 669ms 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

Aim3.3

Positioning5.1

Utility2.7

Mechanics5.2

Opening Duels1.2

Win Impact7.2

Composite 3.6/10 (Learning), 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-0.00+0.02

first ⅓ avg -0.02 → last ⅓ avg -0.00

Reaction time674ms−88ms

first ⅓ avg 763ms → last ⅓ avg 674ms

Headshot accuracy9.6%−2.4%

first ⅓ avg 12.0% → last ⅓ avg 9.6%

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 — ancient 13–4

13–0Biggest win — inferno

8Longest win streak

W8Current streak

1–9In matches decided by ≤2 rounds

8Overtime games

Map breakdown

anubisBest map · 63% over 8nukeWeakest map · 29% over 7

Map	Grade	Played	Record	Win rate	Avg rating
inferno	B	22	10–12	45%	-0.01
ancient	B	17	8–9	47%	0.00
dust2	B	16	8–8	50%	-0.03
mirage	C	15	6–9	40%	-0.02
cache	C	9	4–5	44%	-0.03
anubis	A	8	5–3	63%	0.01
nuke	D	7	2–5	29%	-0.04
overpass	—	4	1–3	25%	-0.03
vertigo	—	1	1–0	100%	0.05
train	—	1	1–0	100%	-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches

0%Win rate

0.48Avg K/D

44.4ADR

50%Headshot %

Clutches & streaks

0%1v1 clutch win

0%1v2 clutch win

0Longest win streak

Recent Faceit resultsLLLLL

Map	Matches	Win rate	Avg K/D	Avg kills
Mirage	1	0%	0.75	12.0
Dust2	1	0%	0.22	4.0

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.

10.2%Headshot accuracy

30.2%Accuracy (enemy spotted)

27.3%Spray accuracy

73.6%Counter-strafing

9.7°Preaim

669msReaction time

39.5%T opening success

27.3%CT opening success

0.42Enemies flashed / flash

3.8%Flash assists

8.73HE damage / grenade

1.82Flashes / 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.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 10.246% — below the 15% mark we flag
Aim Training →
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 0.4216 — 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 39.4801% — below the 40% mark we flag

Spend your practice time on Nuke

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
dust2	13–5	-0.09	0%	23 Aug →
cache	13–10	-0.05	11%	23 Aug →
ancient	13–7	-0.02	11%	22 Aug →
vertigo	13–4	0.05	20%	22 Aug →
train	13–7	-0.09	8%	22 Aug →
inferno	7–4	-0.03	6%	22 Aug →
ancient	13–2	-0.01	12%	22 Aug →
mirage	13–6	-0.01	14%	18 Aug →
anubis	9–13	-0.05	21%	18 Aug →
cache	13–5	-0.03	9%	18 Aug →
inferno	4–13	0.03	11%	18 Aug →
ancient	13–5	-0.05	10%	18 Aug →
mirage	13–7	0.02	6%	17 Aug →
inferno	4–13	0.01	9%	17 Aug →
ancient	7–13	0.03	3%	17 Aug →
mirage	3–13	0.03	11%	14 Aug →
ancient	13–4	0.16	15%	14 Aug →
dust2	8–13	-0.05	4%	14 Aug →
ancient	13–2	0.10	14%	11 Aug →
ancient	8–13	-0.01	4%	10 Aug →
inferno	13–3	0.10	10%	10 Aug →
dust2	13–4	0.02	13%	6 Aug →
anubis	13–8	0.05	17%	23 Jul →
dust2	13–10	0.02	13%	23 Jul →
nuke	2–13	-0.05	8%	23 Jul →
mirage	2–10	-0.06	10%	23 Jul →
inferno	5–13	-0.06	4%	22 Jul →
mirage	11–13	-0.02	16%	22 Jul →
anubis	11–13	-0.03	8%	22 Jul →
ancient	13–16	0.01	7%	22 Jul →
inferno	13–0	0.13	2%	22 Jul →
mirage	8–13	0.02	8%	22 Jul →
dust2	6–13	-0.09	0%	20 Jul →
ancient	11–13	-0.06	6%	20 Jul →
cache	4–13	-0.00	14%	20 Jul →
mirage	13–7	0.04	10%	20 Jul →
overpass	10–13	-0.03	15%	24 Jun →
dust2	14–16	-0.06	14%	23 Jun →
ancient	8–13	-0.11	0%	23 Jun →
inferno	13–8	-0.05	19%	23 Jun →
nuke	10–13	-0.01	11%	23 Jun →
inferno	6–13	-0.07	18%	23 Jun →
mirage	7–13	-0.08	9%	23 Jun →
dust2	11–13	-0.17	4%	23 Jun →
cache	3–13	-0.09	7%	23 Jun →
inferno	11–13	-0.13	7%	22 Jun →
dust2	9–13	0.02	8%	22 Jun →
ancient	11–13	-0.03	11%	22 Jun →
ancient	13–9	0.06	9%	19 Jun →
mirage	13–11	-0.07	10%	19 Jun →
inferno	13–10	0.01	12%	19 Jun →
overpass	8–2	-0.05	11%	19 Jun →
dust2	2–13	-0.03	9%	19 Jun →
anubis	13–10	-0.03	21%	19 Jun →
anubis	13–4	0.15	12%	19 Jun →
cache	12–12	-0.04	23%	16 May →
inferno	11–13	0.01	8%	16 May →
ancient	3–13	-0.11	0%	16 May →
inferno	15–15	0.01	16%	15 May →
mirage	13–6	0.04	15%	15 May →
ancient	13–2	0.06	6%	15 May →
inferno	2–13	-0.10	6%	4 May →
cache	7–13	-0.05	18%	3 May →
cache	13–1	0.09	13%	3 May →
cache	12–5	-0.01	19%	30 Apr →
cache	9–13	-0.07	16%	30 Apr →
nuke	13–10	-0.04	10%	11 Apr →
inferno	13–6	0.00	20%	11 Apr →
overpass	15–15	0.02	14%	11 Apr →
nuke	13–10	0.03	12%	11 Apr →
dust2	2–6	-0.03	0%	11 Apr →
inferno	13–9	-0.01	7%	11 Apr →
ancient	15–15	-0.01	6%	9 Apr →
dust2	13–6	0.06	18%	2 Apr →
nuke	15–15	-0.04	14%	2 Apr →
inferno	3–13	-0.09	14%	29 Mar →
mirage	3–13	-0.08	11%	29 Mar →
ancient	6–13	0.01	12%	29 Mar →
inferno	13–6	-0.02	17%	29 Mar →
anubis	13–2	0.06	14%	27 Mar →
anubis	12–1	-0.04	20%	27 Mar →
dust2	13–8	-0.01	12%	27 Mar →
nuke	10–13	-0.08	9%	27 Mar →
mirage	2–13	-0.06	18%	20 Mar →
dust2	13–6	0.02	11%	20 Mar →
overpass	3–13	-0.06	6%	20 Mar →
dust2	8–13	-0.07	23%	12 Mar →
inferno	15–15	-0.05	12%	8 Mar →
mirage	9–13	-0.09	8%	8 Mar →
nuke	6–13	-0.08	10%	24 Feb →
inferno	13–4	-0.02	10%	24 Feb →
inferno	11–13	0.01	10%	18 Feb →
ancient	13–6	0.03	4%	18 Feb →
mirage	13–10	0.06	11%	16 Feb →
inferno	10–13	-0.03	10%	16 Feb →
anubis	15–15	-0.01	17%	15 Feb →
inferno	13–5	0.08	14%	15 Feb →
dust2	13–6	-0.06	9%	15 Feb →
mirage	8–13	-0.05	11%	14 Feb →
dust2	13–6	0.01	13%	14 Feb →