savage

savage — CS2 Stats

AU76561198325724240[U:1:365458512]Steam profile ↗✓ No bans

5,728Tracked matches52%Win rate2021Tracked since
CSDB Rating5.7 SolidSupport
FaceitLevel 8 · 2,279 ELOTop 31.2% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,279 → 2,279
+1Tracked matches · now 5,728
−3.4ppWin rate · 55.2% → 51.7%

Rating over time

2,279Highest Faceit ELO seen on CSDB
43Days played since 2026-03-19

Faceit ELO

  • At peak — 2,279
  • Next: 2,500 ELO at 2,500 — 221 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-06
  • Level 9 first seen 2026-09-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGsavageFACEITLevel 8 · 2,279 ELOSTANDINGTop 31.2% of rankedPEAK ELO2,279csdb.gg/stats

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Performance scores

Aim73
Positioning39
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLLWLTWWLWW

Last 10 vs previous 10: −20pp win rate · +0.03 avg rating · +7.2pp headshot accuracy · −55ms reaction

Win rate down 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 34%
  • Avg reaction 544ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 588ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 24%
  • Avg reaction 616ms

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: Support — Utility contribution stands above the rest of this profile (+2.9 against its own average).

Aim7.3
Utility6.7
Positioning3.9
Opening Duels1.4
Clutch3.2

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

iM

Plays most like iM 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower 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

Areas to improve

Positioning. Positioning trails aim by 34 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 41% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 634ms 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

Aim7.3
Positioning3.9
Utility6.7
Mechanics7.2
Opening Duels1.3
Win Impact5.6

Composite 5.7/10 (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 rating-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time631ms−17ms
first ⅓ avg 648ms → last ⅓ avg 631ms
Headshot accuracy21.0%+4.0%
first ⅓ avg 16.9% → last ⅓ avg 21.0%

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

0.08Best match rating · 6–13 · nuke, 1 Apr →
67%Best headshot accuracy · 12–12 · office, 22 Aug →
438msFastest reaction time · 12–12 · office, 22 Aug →
13–2Biggest win · mirage, 1 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
9–12In matches decided by ≤2 rounds
15Overtime games

Map breakdown

infernoBest map · 75% over 8nukeWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
ancientB3014–1647%-0.02
mirageA2112–957%-0.01
dust2B136–746%-0.01
nukeC135–838%0.00
anubisS96–367%-0.01
infernoS86–275%-0.02
overpass—31–233%-0.04
office—20–20%0.04
cache—10–10%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

3,025Matches
49%Win rate
1.04Avg K/D
70.0ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage38845%0.9913.8
Ancient31946%0.9714.1
Anubis21152%0.9914.3
Nuke13551%1.0515.4
Dust212746%0.9113.5
Vertigo12553%1.0114.8
Overpass7450%1.0414.3
Inferno5250%0.9313.3

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.

20.6%Headshot accuracy
36.5%Accuracy (enemy spotted)
39.1%Spray accuracy
82.2%Counter-strafing
10.4°Preaim
634msReaction time
20.8%T opening success
40.8%CT opening success
0.61Enemies flashed / flash
5.9%Flash assists
10.77HE damage / grenade
16.10Flashes / 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

    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 20.7514% — 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 & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–130.0022%19 Oct →
office11–130.0431%22 Aug →
nuke13–40.0619%22 Aug →
mirage4–13-0.0430%22 Aug →
office12–120.0367%22 Aug →
dust213–7-0.0213%2 Aug →
inferno13–4-0.0710%2 Aug →
ancient11–130.0439%2 Aug →
mirage13–40.0712%2 Aug →
inferno13–30.0633%2 Aug →
dust213–110.0325%1 Aug →
inferno13–40.0221%31 Jul →
anubis3–13-0.038%31 Jul →
ancient16–13-0.0121%31 Jul →
anubis13–4-0.0121%25 Jul →
ancient11–13-0.0126%25 Jul →
ancient13–6-0.0220%25 Jul →
ancient9–13-0.0126%21 Jul →
dust213–10-0.055%21 Jul →
dust213–7-0.0331%18 Jul →
anubis7–13-0.0632%18 Jul →
ancient13–16-0.0416%12 Jul →
mirage13–100.0118%12 Jul →
dust213–100.0219%12 Jul →
ancient11–130.039%10 Jul →
mirage9–130.0118%10 Jul →
dust29–13-0.0524%10 Jul →
mirage10–13-0.043%10 Jul →
nuke17–19-0.0218%7 Jul →
ancient13–40.0416%7 Jul →
ancient13–11-0.0315%4 Jul →
ancient11–130.0012%4 Jul →
ancient13–3-0.0115%4 Jul →
dust26–13-0.0419%2 Jul →
nuke6–13-0.0526%2 Jul →
ancient22–20-0.0419%27 Jun →
anubis13–8-0.0027%27 Jun →
ancient16–12-0.0014%27 Jun →
ancient7–13-0.0515%27 Jun →
mirage6–13-0.053%19 Jun →
dust213–90.0222%19 Jun →
nuke8–13-0.0250%13 Jun →
ancient13–100.0223%13 Jun →
overpass11–13-0.0317%12 Jun →
ancient3–13-0.0018%12 Jun →
mirage2–13-0.160%12 Jun →
overpass13–8-0.039%12 Jun →
ancient11–13-0.0022%10 Jun →
inferno13–4-0.0511%10 Jun →
nuke13–11-0.0334%10 Jun →
dust25–13-0.0310%21 May →
ancient13–3-0.0331%18 May →
ancient13–30.0514%18 May →
mirage16–120.0718%15 May →
mirage16–14-0.0215%15 May →
inferno4–13-0.0513%10 May →
anubis16–130.0413%10 May →
mirage19–150.0018%9 May →
nuke20–22-0.0314%1 May →
anubis10–13-0.0416%1 May →
cache8–13-0.0210%1 May →
ancient20–22-0.0122%26 Apr →
dust29–13-0.0128%26 Apr →
ancient13–11-0.0410%25 Apr →
inferno13–6-0.054%24 Apr →
inferno16–19-0.0121%24 Apr →
dust28–13-0.0119%24 Apr →
mirage13–110.0112%23 Apr →
ancient13–9-0.0218%23 Apr →
nuke10–13-0.0017%21 Apr →
ancient19–15-0.0215%20 Apr →
nuke6–13-0.0713%17 Apr →
anubis13–100.0118%17 Apr →
ancient2–13-0.0516%17 Apr →
nuke9–13-0.0426%16 Apr →
ancient11–13-0.0619%16 Apr →
nuke13–80.0418%16 Apr →
ancient1–130.0116%16 Apr →
anubis13–110.0034%13 Apr →
mirage11–13-0.049%12 Apr →
nuke13–100.0315%12 Apr →
mirage10–13-0.0611%11 Apr →
mirage12–16-0.0523%11 Apr →
mirage13–60.0412%9 Apr →
mirage13–10-0.0313%8 Apr →
ancient8–13-0.0617%8 Apr →
ancient13–9-0.0415%2 Apr →
ancient6–13-0.0714%2 Apr →
mirage13–9-0.0121%2 Apr →
mirage13–20.0213%1 Apr →
anubis13–100.026%1 Apr →
nuke6–130.0816%1 Apr →
dust27–13-0.0115%31 Mar →
mirage16–140.0521%31 Mar →
overpass8–13-0.0815%26 Mar →
nuke13–100.0628%26 Mar →
mirage9–130.0024%20 Mar →
inferno13–70.0011%20 Mar →
ancient5–13-0.0117%20 Mar →
mirage13–70.0621%19 Mar →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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