Savi — CS2 Stats

76561197977632682[U:1:17366954]

1,243Tracked matches45%Win rate2020Tracked since

4,529Hours in CS42Hrs last 2 wks

CSDB Rating7.7 StrongAggressive Rifler

Premier CS Rating28,570Top 5% of 17,162 CSDB-tracked playersRed band · top ~1.3% of ranked players (population est.)

CSDB Leaderboard#436 of 36155 tracked

FaceitLevel 9Top 20.7% of ranked FACEIT players

Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

Metric	This player	Level 9 median	Level 10 median	vs Level 10
Headshot rate	47.1%	49.0%	52.0%	4.9% short
Shot accuracy	18.7%	13.1%	13.7%	above
Kill/death ratio	1.12	1.08	1.08	above
Match win rate	43.3%	46.9%	48.8%	5.5% short

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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Performance scores

Aim86

Positioning73

Utility79

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWLWWLTWWL

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

Player DNA

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

Aim8.6

Aggression10.0

Utility7.9

Positioning7.3

Opening Duels5.5

Clutch6.4

Sharp aimerStrong CT-side openerEffective flashesHigh utility contribution

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 ZywOo 94% playstyle similarity

Most alike: opening-fight frequency, positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

CT openings. 65% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Utility. Utility score of 79 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 65% on CT to 40% 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

Aim8.6

Positioning7.3

Utility7.9

Mechanics8.1

Opening Duels5.5

Win Impact3.3

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02

first ⅓ avg 0.05 → last ⅓ avg 0.03

Reaction time526ms−41ms

first ⅓ avg 566ms → last ⅓ avg 526ms

Headshot accuracy20.5%+0.3%

first ⅓ avg 20.3% → last ⅓ avg 20.5%

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

0.21Best rating — ancient 7–0

13–1Biggest win — anubis

5Longest win streak

9–6In matches decided by ≤2 rounds

7Overtime games

Map breakdown

cacheBest map · 72% over 18ancientWeakest map · 28% over 32

Map	Grade	Played	Record	Win rate	Avg rating
ancient	D	32	9–23	28%	0.04
anubis	B	26	14–12	54%	0.03
inferno	A	23	13–10	57%	0.04
cache	S	18	13–5	72%	0.04
dust2	—	1	1–0	100%	-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (28% over 32). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

173,249Lifetime kills

1.12K/D · Top 50% of Level 9 players

6,303Matches

43.3%Match win rate

47.1%Headshot %

18.7%Shot accuracy · Top 10% of Level 9 players

18,527MVPs

2,962Hours (in match)

5,829Bombs planted

1,559Bombs defused

Most-used weapons

AK-4757,216

M4A4 / M4A1-S32,101

AWP23,317

Desert Eagle10,514

P2000 / USP-S9,636

Glock-185,341

P2503,758

MAC-102,799

FAMAS2,462

UMP-452,443

Lifetime map wins

17,042inferno

2,312dust2

1,483train

1,268cbble

737vertigo

403nuke

157lake

145ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

73Matches

63%Win rate

1.51Avg K/D

107.8ADR

47%Headshot %

Clutches & streaks

52%1v1 clutch win

37%1v2 clutch win

9Longest win streak

Recent Faceit resultsWWLWL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	10	80%	2.02	23.6
Anubis	9	67%	2.24	22.6
Ancient	8	62%	1.56	27.0
Vertigo	2	50%	2.66	26.0

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.

20.2%Headshot accuracy

36.8%Accuracy (enemy spotted)

40.1%Spray accuracy

86.7%Counter-strafing

8.9°Preaim

534msReaction time

39.6%T opening success

64.5%CT opening success

0.71Enemies flashed / flash

13.1%Flash assists

8.84HE damage / grenade

13.41Flashes / 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 39.57% — 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.

28% win rate across 32 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
ancient	9–13	0.02	35%	29 Aug →
cache	13–2	0.07	23%	29 Aug →
anubis	1–13	-0.04	5%	29 Aug →
anubis	13–6	0.07	16%	29 Aug →
ancient	13–11	0.06	27%	29 Aug →
cache	9–13	0.04	18%	29 Aug →
inferno	15–15	0.01	16%	27 Aug →
anubis	13–5	0.03	26%	27 Aug →
ancient	13–2	0.06	17%	27 Aug →
anubis	7–13	0.08	16%	27 Aug →
anubis	13–10	0.06	14%	26 Aug →
ancient	8–13	0.04	15%	26 Aug →
cache	13–6	0.09	27%	26 Aug →
inferno	6–13	0.06	20%	26 Aug →
ancient	6–13	-0.07	22%	25 Aug →
inferno	13–8	0.06	18%	25 Aug →
ancient	12–16	0.03	22%	25 Aug →
cache	13–4	0.00	20%	25 Aug →
ancient	7–13	0.02	17%	24 Aug →
inferno	7–13	-0.05	20%	24 Aug →
ancient	7–13	0.01	23%	24 Aug →
inferno	1–13	0.00	28%	23 Aug →
inferno	13–9	0.02	20%	23 Aug →
cache	11–13	0.00	18%	23 Aug →
inferno	10–13	0.01	20%	21 Aug →
inferno	11–13	0.05	19%	21 Aug →
ancient	13–7	0.11	23%	21 Aug →
anubis	13–11	0.01	18%	21 Aug →
ancient	11–13	0.01	20%	21 Aug →
anubis	13–6	0.01	22%	20 Aug →
inferno	8–13	0.00	32%	20 Aug →
inferno	13–8	0.07	24%	20 Aug →
anubis	13–11	0.06	18%	20 Aug →
anubis	3–13	-0.01	23%	19 Aug →
cache	13–10	0.02	19%	19 Aug →
anubis	13–7	0.07	30%	19 Aug →
cache	13–4	-0.00	18%	19 Aug →
ancient	7–13	-0.04	13%	19 Aug →
ancient	3–13	-0.02	33%	18 Aug →
cache	7–13	0.04	19%	18 Aug →
cache	8–13	0.02	33%	18 Aug →
ancient	6–13	0.03	21%	18 Aug →
ancient	7–0	0.21	46%	18 Aug →
ancient	8–13	0.04	30%	17 Aug →
cache	13–4	0.09	28%	17 Aug →
inferno	13–6	0.12	29%	17 Aug →
cache	13–10	0.02	23%	17 Aug →
inferno	13–11	0.04	17%	17 Aug →
ancient	10–13	0.07	16%	16 Aug →
anubis	13–3	0.03	11%	16 Aug →
inferno	13–5	0.10	26%	16 Aug →
ancient	11–13	0.05	32%	16 Aug →
ancient	15–15	0.01	31%	16 Aug →
ancient	7–13	0.00	22%	15 Aug →
cache	7–1	-0.01	19%	15 Aug →
anubis	6–13	-0.00	22%	15 Aug →
dust2	13–10	-0.01	19%	15 Aug →
anubis	9–13	-0.01	24%	15 Aug →
anubis	16–13	0.06	13%	14 Aug →
ancient	13–10	0.07	29%	14 Aug →
anubis	13–5	0.06	22%	14 Aug →
ancient	10–13	-0.02	17%	14 Aug →
ancient	4–13	-0.07	22%	14 Aug →
inferno	13–8	0.13	24%	14 Aug →
anubis	13–11	0.07	20%	14 Aug →
ancient	8–13	-0.02	15%	14 Aug →
inferno	13–11	0.07	29%	13 Aug →
anubis	3–13	0.05	14%	13 Aug →
ancient	13–8	-0.02	23%	13 Aug →
inferno	9–13	-0.03	17%	13 Aug →
ancient	4–13	0.08	13%	13 Aug →
inferno	13–8	0.12	28%	12 Aug →
ancient	13–7	0.03	13%	12 Aug →
ancient	14–16	0.08	26%	12 Aug →
cache	13–9	-0.00	26%	12 Aug →
inferno	10–13	0.09	18%	11 Aug →
anubis	15–15	0.04	14%	11 Aug →
ancient	9–13	0.13	19%	11 Aug →
anubis	5–13	0.07	38%	11 Aug →
ancient	7–13	0.03	10%	10 Aug →
cache	13–2	0.18	17%	10 Aug →
inferno	13–11	0.05	22%	10 Aug →
anubis	13–7	0.04	25%	10 Aug →
cache	4–13	-0.01	19%	9 Aug →
anubis	3–13	0.04	22%	9 Aug →
anubis	9–13	0.04	17%	9 Aug →
inferno	6–13	-0.02	22%	9 Aug →
inferno	13–11	0.02	22%	7 Aug →
anubis	13–1	0.00	12%	7 Aug →
anubis	9–13	0.03	12%	7 Aug →
ancient	13–2	0.11	14%	7 Aug →
anubis	10–13	-0.03	10%	7 Aug →
cache	16–14	0.06	27%	5 Aug →
inferno	13–3	0.02	24%	5 Aug →
cache	13–5	0.01	32%	5 Aug →
ancient	13–8	0.14	20%	5 Aug →
anubis	13–9	0.06	17%	5 Aug →
ancient	11–13	0.06	27%	3 Aug →
cache	13–3	0.12	18%	3 Aug →
inferno	13–10	0.02	31%	3 Aug →