savage

savage — CS2 Stats

76561199417841799[U:1:1457576071]Steam profile ↗✓ No bans

1,644Tracked matches45%Win rate2024Tracked since
CSDB Rating2.8 LearningSupport
Premier CS Rating15,168Purple band · top ~27.7% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+168Premier CS Rating · 15,000 → 15,168
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 38 days played since 26 Apr 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,168 +3,454 26 Apr20 Sept · 29 days played
11,58717,356peak 17,35626 Apr20 Sept
17,356Peak Premier in tracked matches
725Highest Faceit ELO seen on CSDB
38Days played since 2026-04-26

Faceit ELO

  • At peak — 725
  • Next: Level 3 at 751 26 to go
  • Reached: Level 2

Premier CS Rating

  • 2,188 below peak (17,356)
  • -563 over 30 days · declining
  • +2,198 over 90 days
  • Next: Pink band at 20,000 4,832 to go
  • Reached: Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGsavagePREMIER15,168 · Purple bandPEAK ELO725csdb.gg/stats

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Performance scores

Aim20
Positioning34
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY45487Last 10045%Win rateWLWLLLWWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −0.4pp headshot accuracy · −19ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 13%
  • Avg reaction 777ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 12%
  • Avg reaction 653ms

Last 20

  • 812 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 12%
  • Avg reaction 663ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: SupportUtility contribution stands above the rest of this profile (+2.3 against its own average).

Aim2.0
Utility4.6
Positioning3.4
Opening Duels0.0
Clutch1.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 58% playstyle similarity

Most alike: utility contribution, 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. 684ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.0
Positioning3.4
Utility4.6
Mechanics3.3
Opening Duels0.5
Win Impact3.3

Composite 2.8/10 (Learning), 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 rating-0.06−0.00
first ⅓ avg -0.06 → last ⅓ avg -0.06
Reaction time659ms−53ms
first ⅓ avg 712ms → last ⅓ avg 659ms
Headshot accuracy12.3%−3.2%
first ⅓ avg 15.5% → last ⅓ avg 12.3%

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.

Personal bests

0.02Best match rating · 13–10 · mirage, 16 May
50%Best headshot accuracy · 0–3 · cache, 7 May
422msFastest reaction time · 1–13 · dust2, 19 Sept
13–0Biggest win · nuke, 17 Sept

Across the last 100 tracked matches.

Highlights

5Longest win streak
85In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 75% over 16dust2Weakest map · 20% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC2081240%-0.05
cacheC2081240%-0.06
nukeS1612475%-0.05
ancientB157847%-0.06
dust2D1531220%-0.07
infernoB105550%-0.05
shelter110100%-0.03
boulder1010%-0.05
office1010%-0.08
anubis110100%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (20% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

351Matches
50%Win rate
0.50Avg K/D
49.3ADR
40%Headshot %

Clutches & streaks

25%1v1 clutch win
13%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage9144%0.498.4
Ancient6549%0.488.4
Inferno5556%0.527.5
Nuke5562%0.588.8
Dust25443%0.467.5
Anubis956%0.447.0
Train850%0.468.0
Overpass650%0.457.8

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.

12.0%Headshot accuracy
29.5%Accuracy (enemy spotted)
31.5%Spray accuracy
65.0%Counter-strafing
13.2°Preaim
684msReaction time
34.3%T opening success
29.2%CT opening success
0.51Enemies flashed / flash
1.6%Flash assists
6.21HE damage / grenade
5.10Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1926° — above the 12° mark we flag

    Aim Training
  2. 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 12.0079% — below the 15% mark we flag

    Aim Training
Spend your practice time on Dust 2

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

20% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–4-0.0717%20 Sept
dust211–13-0.0316%20 Sept
nuke13–6-0.0511%20 Sept
mirage9–13-0.0719%19 Sept
ancient2–13-0.130%19 Sept
dust21–13-0.116%19 Sept
nuke13–2-0.0410%19 Sept
cache13–7-0.085%19 Sept
ancient1–13-0.0719%19 Sept
ancient13–10-0.0311%18 Sept
dust213–7-0.106%18 Sept
mirage5–13-0.089%18 Sept
dust210–13-0.068%17 Sept
nuke13–0-0.0212%17 Sept
inferno13–16-0.0212%17 Sept
nuke13–9-0.0811%16 Sept
ancient6–13-0.1110%16 Sept
cache11–13-0.0115%13 Sept
dust25–13-0.0722%13 Sept
dust28–13-0.0715%13 Sept
nuke11–13-0.088%10 Sept
ancient4–13-0.0913%10 Sept
inferno13–7-0.009%9 Sept
mirage3–13-0.0517%9 Sept
cache13–11-0.0714%9 Sept
cache16–13-0.0816%30 Aug
nuke11–13-0.0922%30 Aug
ancient13–5-0.0210%30 Aug
cache15–15-0.074%28 Aug
mirage16–14-0.0713%28 Aug
inferno13–1-0.0013%28 Aug
ancient13–10-0.0811%20 Aug
mirage9–130.0124%20 Aug
cache13–16-0.0611%10 Aug
cache10–13-0.105%8 Aug
nuke7–13-0.049%8 Aug
ancient13–9-0.0811%6 Aug
nuke13–6-0.0711%6 Aug
mirage13–11-0.0118%31 Jul
mirage13–8-0.036%31 Jul
inferno13–11-0.1014%31 Jul
inferno15–15-0.113%30 Jul
nuke13–7-0.0118%30 Jul
mirage13–10-0.0012%30 Jul
cache9–13-0.088%24 Jul
ancient5–13-0.0420%24 Jul
nuke13–6-0.049%24 Jul
inferno16–12-0.0616%24 Jul
nuke13–8-0.0215%18 Jul
dust210–13-0.0720%18 Jul
mirage9–13-0.043%18 Jul
mirage6–13-0.1115%11 Jul
shelter13–10-0.038%11 Jul
boulder12–12-0.0515%11 Jul
cache13–6-0.039%11 Jul
ancient13–2-0.0423%4 Jul
mirage13–10-0.0117%4 Jul
cache13–7-0.0217%4 Jul
inferno15–15-0.0412%26 Jun
mirage10–13-0.1021%26 Jun
mirage9–13-0.0714%24 Jun
dust29–13-0.1017%24 Jun
ancient8–13-0.0512%22 Jun
dust24–13-0.0517%22 Jun
nuke16–13-0.0310%22 Jun
office8–13-0.0811%17 Jun
inferno13–11-0.0511%17 Jun
nuke13–9-0.0318%17 Jun
dust24–13-0.1320%13 Jun
mirage16–14-0.0129%13 Jun
inferno9–13-0.0518%13 Jun
cache12–12-0.0820%13 Jun
anubis5–1-0.070%13 Jun
cache12–12-0.0523%12 Jun
mirage12–12-0.1017%12 Jun
inferno10–13-0.1111%6 Jun
dust27–13-0.0410%6 Jun
mirage16–14-0.068%5 Jun
ancient11–13-0.0418%31 May
nuke13–10-0.0220%31 May
mirage5–13-0.1025%31 May
mirage9–13-0.0813%25 May
cache3–13-0.0713%25 May
dust24–13-0.098%22 May
mirage5–13-0.0612%22 May
nuke13–0-0.0612%16 May
mirage13–100.0214%16 May
dust213–11-0.0413%13 May
dust213–3-0.053%13 May
ancient13–8-0.0613%10 May
cache9–13-0.0817%10 May
dust24–13-0.095%7 May
cache2–13-0.078%7 May
cache0–3-0.0750%7 May
cache13–9-0.0212%7 May
cache7–13-0.0417%1 May
nuke9–13-0.0615%29 Apr
cache13–8-0.0523%29 Apr
cache13–2-0.0121%29 Apr
ancient7–13-0.088%26 Apr

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 →