Save_D4ve — CS2 Stats

76561199009515565[U:1:1049249837]

1,630Tracked matches41%Win rate2020Tracked since
CSDB Rating3.7 Learning
FaceitLevel 4 · 927 ELOTop 81.0% of ranked FACEIT players
WingmanSilver I
Ladder ranks via Leetify

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CSDB.GGSave_D4veFACEITLevel 4 · 927 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning43
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY47476Last 10047%Win rateWLLWLLWLWT

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim4.4
Aggression3.5
Utility4.4
Positioning4.3
Opening Duels0.0
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

NiKo

Plays most like NiKo 76% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower opening-duel success; 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. 691ms 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

Aim4.4
Positioning4.3
Utility4.4
Mechanics6.6
Opening Duels0.4
Win Impact1.9

Composite 3.7/10 (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-0.02−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time684ms+14ms
first ⅓ avg 671ms → last ⅓ avg 684ms
Headshot accuracy8.6%−0.2%
first ⅓ avg 8.9% → last ⅓ avg 8.6%

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

0.13Best rating — nuke 13–4
131Biggest win — office
5Longest win streak
65In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 57% over 14anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB178947%-0.02
cacheD1651131%-0.02
dust2B157847%-0.02
nukeA148657%0.01
ancientB105550%-0.02
anubisD72529%-0.02
mirageC52340%-0.01
vertigo32167%-0.03
overpass32167%-0.00
office32167%-0.02
train21150%-0.02
shelter21150%-0.01
fachwerk110100%-0.05
boulder1010%-0.04
stronghold110100%0.03

Across the last 100 tracked matches.

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

Faceit stats

Combat

52Matches
42%Win rate
1.11Avg K/D
78.8ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.569.0
Nuke10%0.508.0
Inferno1100%1.3121.0
Ancient1100%1.5819.0

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.

8.8%Headshot accuracy
34.0%Accuracy (enemy spotted)
35.6%Spray accuracy
79.9%Counter-strafing
10.2°Preaim
691msReaction time
23.5%T opening success
32.8%CT opening success
0.50Enemies flashed / flash
2.5%Flash assists
10.67HE damage / grenade
5.44Flashes / 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 8.7722% — 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 23.5111% — 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.

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

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo12–10.007%26 Aug
cache8–13-0.044%26 Aug
nuke6–13-0.096%21 Aug
cache13–50.034%21 Aug
anubis2–13-0.037%21 Aug
nuke4–130.006%19 Aug
overpass13–70.029%19 Aug
cache10–13-0.0114%17 Aug
vertigo13–6-0.0314%17 Aug
train12–12-0.058%17 Aug
cache9–13-0.0312%12 Aug
dust29–13-0.0411%9 Aug
fachwerk13–7-0.053%25 Jul
mirage10–13-0.059%25 Jul
dust213–10-0.0519%25 Jul
inferno13–90.035%25 Jul
cache13–5-0.023%25 Jul
shelter13–40.042%14 Jul
inferno12–12-0.018%14 Jul
mirage7–130.0115%14 Jul
shelter1–8-0.0613%9 Jul
boulder5–13-0.0410%9 Jul
dust210–13-0.019%6 Jul
inferno13–11-0.008%2 Jul
train13–40.0010%2 Jul
dust211–13-0.0211%27 Jun
nuke2–13-0.0712%27 Jun
inferno10–13-0.094%13 Jun
cache12–12-0.036%13 Jun
nuke10–13-0.0113%27 May
inferno8–13-0.086%27 May
office5–130.016%23 May
nuke13–50.0612%13 May
dust25–13-0.1111%13 May
cache2–13-0.0923%13 May
inferno13–70.0110%13 May
office13–1-0.0810%13 May
dust22–8-0.038%13 May
overpass4–130.0113%8 May
cache9–130.0210%8 May
cache13–40.0115%8 May
cache7–13-0.085%8 May
ancient2–13-0.108%8 May
anubis9–13-0.084%8 May
ancient3–13-0.0710%7 May
cache13–11-0.027%7 May
inferno12–12-0.0513%7 May
cache6–13-0.027%3 May
cache12–120.024%2 May
inferno6–130.0116%2 May
office13–1-0.0016%2 May
cache13–11-0.045%1 May
cache10–13-0.0520%1 May
ancient12–160.0011%1 May
cache12–120.069%1 May
ancient6–13-0.049%26 Apr
nuke13–110.025%26 Apr
inferno7–130.0213%21 Apr
dust213–6-0.0312%21 Apr
anubis7–13-0.049%21 Apr
inferno13–8-0.015%17 Apr
dust213–80.087%13 Apr
nuke13–2-0.054%4 Apr
inferno11–130.036%4 Apr
nuke13–30.0912%4 Apr
inferno13–2-0.0117%3 Apr
inferno13–9-0.025%3 Apr
ancient13–90.0316%3 Apr
overpass13–11-0.046%3 Apr
anubis11–130.028%3 Apr
ancient13–6-0.0110%3 Apr
mirage10–130.0517%3 Apr
dust213–6-0.084%3 Apr
dust27–13-0.048%2 Apr
inferno13–60.0111%2 Apr
ancient13–90.018%31 Mar
anubis8–130.015%30 Mar
dust213–90.1112%29 Mar
ancient13–50.088%29 Mar
mirage13–6-0.077%29 Mar
nuke13–40.129%28 Mar
ancient7–13-0.044%27 Mar
dust213–80.059%27 Mar
nuke16–14-0.038%26 Mar
dust29–13-0.028%21 Mar
nuke13–80.069%21 Mar
stronghold13–90.0310%21 Mar
ancient13–9-0.0213%16 Mar
inferno13–90.028%16 Mar
mirage13–90.034%15 Mar
nuke11–13-0.0117%14 Mar
anubis13–9-0.017%14 Mar
vertigo4–13-0.057%14 Mar
anubis13–9-0.0012%13 Mar
inferno1–13-0.070%13 Mar
dust213–7-0.059%13 Mar
dust214–16-0.0216%13 Mar
nuke13–40.1311%13 Mar
inferno8–13-0.0510%12 Mar
nuke4–13-0.034%12 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 →