aSav

aSav — CS2 Stats

76561198314654318[U:1:354388590]Steam profile ↗

1,357Tracked matches54%Win rate2021Tracked since
CSDB Rating5.6 SolidClutch Specialist
Premier CS Rating17,480Purple band · top ~18.5% of ranked players (population est.)
CSDB Leaderboard#16570 of 31127 tracked
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

17,305Peak Premier on CSDB
1Days observed since 2026-08-28

Premier CS Rating

  • At peak — 17,480
  • Next: Pink band at 20,000 2,520 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGaSavFACEITLevel 6STANDINGTop 54.0% of rankedPREMIER17,480 · Purple bandcsdb.gg/stats

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Performance scores

Aim77
Positioning48
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY48448Last 10048%Win rateWWLWLLLWLW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim7.7
Aggression4.1
Utility3.9
Positioning4.8
Opening Duels1.1
Clutch8.4

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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

NiKo

Plays most like NiKo 86% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 42% on CT to 27% 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

Aim7.7
Positioning4.8
Utility3.9
Mechanics6.2
Opening Duels1.5
Win Impact6.2

Composite 5.6/10 (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 rating0.01−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time534ms−41ms
first ⅓ avg 575ms → last ⅓ avg 534ms
Headshot accuracy16.6%−1.6%
first ⅓ avg 18.3% → last ⅓ avg 16.6%

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

0.15Best rating — inferno 13–6
131Biggest win — anubis
6Longest win streak
W2Current streak
37In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 63% over 8anubisWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA2213959%0.03
cacheC2081240%0.01
nukeC1971237%0.01
dust2A106460%-0.01
anubisD93633%0.02
mirageA85363%0.02
overpassA53260%0.00
ancient42250%0.02
train2020%0.04
vertigo110100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
55%Win rate
0.95Avg K/D
61.8ADR
54%Headshot %

Clutches & streaks

62%1v1 clutch win
22%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage580%1.0311.4
Nuke20%0.6010.0
Inferno250%0.8010.0
Ancient10%1.2117.0
Train1100%1.2714.0

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.

17.4%Headshot accuracy
36.7%Accuracy (enemy spotted)
42.5%Spray accuracy
78.0%Counter-strafing
10.4°Preaim
531msReaction time
26.8%T opening success
41.9%CT opening success
0.60Enemies flashed / flash
1.4%Flash assists
8.19HE damage / grenade
3.08Flashes / 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.

  1. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.0831 — below the 4 mark we flag

    Grenade Lineups
  2. 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 26.8389% — 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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–110.043%29 Aug
cache13–70.057%29 Aug
nuke1–10-0.028%29 Aug
inferno13–7-0.0318%29 Aug
inferno0–9-0.188%29 Aug
inferno11–130.0317%28 Aug
dust22–13-0.069%28 Aug
dust216–13-0.0224%28 Aug
nuke2–7-0.039%28 Aug
cache13–40.0348%28 Aug
nuke4–13-0.0413%27 Aug
nuke6–130.0516%27 Aug
anubis15–150.0411%27 Aug
ancient13–50.0513%27 Aug
mirage13–10-0.0215%27 Aug
nuke15–150.0121%26 Aug
inferno13–90.0611%26 Aug
inferno13–60.0121%26 Aug
anubis13–10.0828%26 Aug
cache9–130.0132%26 Aug
anubis11–13-0.0417%25 Aug
cache11–4-0.0324%25 Aug
cache11–130.0620%25 Aug
nuke10–13-0.0011%9 Aug
mirage8–130.0933%9 Aug
anubis3–13-0.0613%9 Aug
cache16–130.0517%9 Aug
anubis10–00.1520%8 Aug
inferno13–50.0515%8 Aug
nuke3–13-0.052%26 Jul
inferno13–100.1123%26 Jul
ancient13–100.0710%26 Jul
mirage16–14-0.0014%26 Jul
cache15–15-0.018%26 Jul
nuke10–130.0517%26 Jul
cache15–15-0.0016%25 Jul
nuke11–20.0414%25 Jul
dust213–4-0.0222%25 Jul
inferno13–90.0413%25 Jul
dust213–100.0615%25 Jul
cache11–13-0.0522%25 Jul
cache2–13-0.0617%25 Jul
cache7–13-0.0420%17 Jul
inferno13–60.1218%17 Jul
mirage13–60.0717%17 Jul
inferno13–110.0627%17 Jul
mirage13–60.0610%16 Jul
dust213–80.0919%16 Jul
nuke16–120.0011%16 Jul
dust21–130.0113%16 Jul
inferno8–13-0.0220%16 Jul
cache8–130.0926%16 Jul
cache13–60.0720%14 Jul
cache11–13-0.0129%14 Jul
nuke13–20.0920%14 Jul
nuke13–30.0116%14 Jul
nuke6–13-0.0117%14 Jul
cache13–70.008%14 Jul
nuke11–13-0.0710%13 Jul
inferno5–13-0.0316%13 Jul
cache5–13-0.0513%13 Jul
anubis6–13-0.0013%13 Jul
nuke13–6-0.0213%13 Jul
dust25–13-0.0218%13 Jul
cache6–130.0026%13 Jul
mirage6–13-0.0427%13 Jul
inferno6–130.0428%13 Jul
nuke13–20.0115%13 Jul
dust213–100.0333%13 Jul
mirage15–150.0023%12 Jul
dust210–13-0.0924%12 Jul
inferno13–60.0524%14 May
overpass13–40.0724%14 May
inferno13–60.1520%14 May
overpass12–16-0.0920%13 May
inferno13–100.0130%13 May
inferno8–130.0624%8 May
cache13–100.0228%8 May
inferno5–13-0.0718%3 May
cache4–13-0.059%3 May
cache13–100.0723%3 May
inferno13–60.0113%3 May
anubis13–40.0215%3 May
anubis11–13-0.0313%25 Apr
overpass13–100.018%25 Apr
ancient13–160.0516%24 Apr
inferno7–130.0217%24 Apr
nuke12–120.0230%24 Apr
inferno6–130.0810%22 Apr
train5–130.0418%20 Apr
nuke13–80.0213%20 Apr
inferno13–50.0715%18 Apr
train12–120.0420%18 Apr
vertigo7–00.0213%18 Apr
nuke9–130.0922%18 Apr
overpass13–100.0116%18 Apr
dust213–8-0.0310%18 Apr
anubis12–12-0.0217%6 Apr
overpass10–130.0315%6 Apr
ancient1–13-0.1010%30 Mar

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →