SAV

SAV — CS2 Stats

US76561198066787014[U:1:106521286]Steam profile ↗✓ No bans

991Tracked matches38%Win rate2020Tracked since
3,175Hours in CS2Hrs last 2 wks
CSDB Rating4.9 DevelopingHybrid Rifler
Premier CS Rating14,233Blue band · top ~32.5% of ranked players (population est.)
CSDB Leaderboard#15939 of 24221 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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.

MetricThis playerBlue band medianPurple band medianvs Purple band
Headshot rate53.0%41.7%44.1%above
Shot accuracy13.0%8.8%11.4%above
Kill/death ratio1.010.971.03meets
Match win rate31.2%43.8%45.2%14.0% short

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

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

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CSDB.GGSAVPREMIER14,233 · Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning46
Utility56

0–100 skill scores via Leetify.

Recent form

COLD50446Last 10050%Win rateLWLLLTWLLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.8
Aggression5.2
Utility5.6
Positioning4.6
Opening Duels1.2
Clutch3.0

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

NiKo

Plays most like NiKo 88% playstyle similarity

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

Where you differ: lower positioning profile; 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 42% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim6.8
Positioning4.6
Utility5.6
Mechanics7.5
Opening Duels1.5
Win Impact1.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time611ms−39ms
first ⅓ avg 650ms → last ⅓ avg 611ms
Headshot accuracy13.1%−1.9%
first ⅓ avg 15.1% → last ⅓ avg 13.1%

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

0.11Best rating — jura 13–3
132Biggest win — anubis
4Longest win streak
73In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 80% over 5grailWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
cacheA2213959%-0.02
dust2C146843%-0.01
nukeC135838%-0.02
ancientC135838%-0.02
mirageB115645%-0.02
anubisS86275%0.01
grailD61517%-0.00
infernoS54180%-0.00
juraS54180%0.04
vertigo21150%0.00
train1010%-0.08

Across the last 100 tracked matches.

Lifetime stats

123,931Lifetime kills
1.01K/D · Top 50% of Blue band
5,333Matches
31.2%Match win rate
53.0%Headshot % · Top 25% of Blue band
13.0%Shot accuracy · Top 50% of Blue band
6,414MVPs
2,549Hours (in match)
4,998Bombs planted
1,032Bombs defused

Most-used weapons

AK-4758,413
AWP9,249
FAMAS2,435
P2502,341
UMP-452,189

Lifetime map wins

10,626dust2
6,423inferno
2,434nuke
1,069vertigo
776train
547cbble
110lake
34bank

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

Faceit stats

Combat

46Matches
48%Win rate
1.08Avg K/D
76.9ADR
44%Headshot %

Clutches & streaks

35%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Vertigo1471%1.3113.6
Dust2922%1.0315.0
Mirage520%0.8613.0
Anubis520%0.9513.2
Inferno367%0.9513.0
Nuke333%1.4511.3
Ancient3100%1.0016.3
Cache333%0.7112.0

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.

13.1%Headshot accuracy
34.9%Accuracy (enemy spotted)
38.0%Spray accuracy
83.8%Counter-strafing
9.1°Preaim
605msReaction time
27.1%T opening success
42.3%CT opening success
0.56Enemies flashed / flash
10.3%Flash assists
9.25HE damage / grenade
6.69Flashes / 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. 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 13.0778% — below the 15% mark we flag

    Aim Training
  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 27.0733% — 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.

38% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke5–13-0.0120%17 Aug
cache13–9-0.0126%17 Aug
vertigo13–16-0.0511%17 Aug
nuke7–13-0.0215%9 Aug
cache13–16-0.064%8 Aug
ancient12–12-0.0313%7 Aug
inferno13–90.0213%7 Aug
cache4–13-0.0211%7 Aug
cache12–16-0.0215%29 Jul
nuke13–6-0.055%29 Jul
dust213–7-0.0117%29 Jul
nuke7–130.0312%22 Jul
nuke8–130.0016%21 Jul
cache13–10-0.028%21 Jul
ancient11–13-0.0412%21 Jul
mirage3–13-0.0313%21 Jul
cache14–160.0217%21 Jul
ancient9–13-0.028%21 Jul
anubis13–20.0917%20 Jul
nuke5–130.0012%20 Jul
nuke13–8-0.046%20 Jul
cache13–110.0117%20 Jul
dust24–13-0.0310%20 Jul
anubis13–60.0413%19 Jul
mirage13–2-0.0015%19 Jul
nuke11–13-0.0817%19 Jul
dust210–13-0.039%19 Jul
cache4–13-0.0215%18 Jul
ancient13–90.0011%18 Jul
dust27–130.0418%18 Jul
cache13–10-0.0117%16 Jul
mirage13–8-0.0114%16 Jul
inferno5–130.017%4 Jun
dust24–130.019%16 May
mirage8–13-0.017%13 May
anubis7–130.0230%8 May
cache13–10-0.0627%7 May
cache13–6-0.0116%6 May
cache13–9-0.069%5 May
cache6–130.0118%5 May
cache12–12-0.044%5 May
cache13–4-0.0412%5 May
cache5–130.017%4 May
cache13–7-0.0618%4 May
cache7–13-0.0616%2 May
dust28–13-0.0715%1 May
cache13–11-0.078%1 May
cache13–50.0615%30 Apr
cache13–3-0.0116%29 Apr
cache13–40.0722%29 Apr
mirage6–13-0.080%9 Jan
inferno13–11-0.0116%9 Jan
nuke12–120.0116%29 Dec
dust213–40.0115%29 Dec
train1–13-0.0813%29 Dec
vertigo13–40.0614%22 Dec
mirage3–13-0.0415%14 Jul
anubis13–8-0.0426%14 Jul
nuke13–7-0.0419%14 Jul
dust210–13-0.0320%14 Jul
nuke16–13-0.016%14 Jul
ancient13–80.0621%14 Jul
nuke16–14-0.0316%11 Jul
dust213–110.0019%10 Jul
grail9–13-0.0513%20 May
jura13–60.0414%19 May
grail13–50.0412%19 May
jura6–13-0.0218%18 May
grail12–12-0.0212%18 May
jura13–30.1130%12 May
grail4–13-0.0216%12 May
jura13–40.0012%9 May
grail4–130.0318%8 May
grail9–130.0010%8 May
jura13–80.0517%8 May
ancient15–15-0.0311%5 May
ancient13–80.0212%5 May
dust29–130.0024%1 May
mirage5–13-0.0214%1 May
nuke15–15-0.0521%25 Apr
dust213–9-0.0015%25 Apr
dust210–13-0.095%14 Apr
dust216–12-0.0012%13 Apr
dust213–90.0213%7 Apr
anubis13–9-0.0416%6 Apr
inferno13–70.0215%1 Apr
ancient7–13-0.0211%1 Apr
anubis13–3-0.0213%1 Apr
ancient13–8-0.0213%1 Apr
ancient9–13-0.0610%29 Mar
inferno13–11-0.0420%28 Mar
ancient13–6-0.0521%27 Mar
mirage13–110.0811%27 Mar
anubis8–13-0.0215%26 Mar
mirage13–50.0319%25 Mar
mirage13–6-0.0114%25 Mar
ancient6–13-0.0714%22 Mar
mirage5–13-0.1013%20 Mar
anubis13–50.0116%20 Mar
ancient8–130.0214%20 Mar

Match data via Leetify.

Recent teammates

Milestones

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