saber

saber — CS2 Stats

NE76561198322269048[U:1:362003320]Steam profile ↗✓ No bans

1,908Tracked matches62%Win rate2024Tracked since
1,661Hours in CS35Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating28,173Top 5% of 215,558 CSDB-tracked playersRed band · top ~1.5% of ranked players (population est.)
CSDB Leaderboard#2794 of 261701 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 28,173 +2,422 23 Jul – 10 Nov · 26 days played
25,12628,665peak 28,66523 Jul10 Nov
28,665Peak Premier in tracked matches
45Days played since 2026-07-18

Premier CS Rating

  • 492 below peak (28,665)
  • +1,255 over 30 days · improving
  • +1,436 over 90 days
  • Next: Gold band at 30,000 — 1,827 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-21
  • Pink band first seen 2026-09-21

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,948), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate49.2%45.7%46.8%above
Shot accuracy0.4%12.7%13.0%12.6% short
Kill/death ratio0.851.051.060.21 short
Match win rate43.6%45.7%46.3%2.7% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsaberFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER28,173 · Red bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim82
Positioning71
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY56–38–6Last 10056%Win rateLWLWTWLLWW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −3.0pp headshot accuracy · −49ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 516ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 502ms

Last 20

  • 10–6–4 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 526ms

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: Positional Player — Positioning stands above the rest of this profile (+1.9 against its own average).

Aim8.2
Utility4.9
Positioning7.1
Opening Duels4.8
Clutch3.8

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

donk

Plays most like donk 91% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

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

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

Aim8.2
Positioning7.1
Utility4.9
Mechanics6.7
Opening Duels6.5
Win Impact8.8

Composite 7.5/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time536ms−60ms
first ⅓ avg 597ms → last ⅓ avg 536ms
Headshot accuracy19.0%−1.6%
first ⅓ avg 20.6% → last ⅓ avg 19.0%

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

0.24Best match rating · 13–8 · dust2, 28 Oct →
45%Best headshot accuracy · 13–2 · anubis, 16 Aug →
391msFastest reaction time · 13–6 · dust2, 22 Aug →
13–1Biggest win · mirage, 10 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
12–5In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 75% over 8mirageWeakest map · 46% over 28
MapGradePlayedRecordWin rateAvg rating
dust2B2914–1548%0.01
mirageB2813–1546%0.01
ancientS107–370%0.02
anubisS107–370%0.05
infernoS86–275%0.02
nukeA53–260%-0.02
cache—31–233%0.00
office—32–167%0.05
vertigo—21–150%0.05
overpass—22–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 28). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,794Lifetime kills
0.85K/D
2,677Matches
43.6%Match win rate
49.2%Headshot % · Top 50% of Level 7 players
0.4%Shot accuracy
4,481MVPs
1,373Hours (in match)
1,631Bombs planted
379Bombs defused

Most-used weapons

Lifetime map wins

6,371dust2
3,071inferno
1,552vertigo
1,013nuke
206train
171office
9italy

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

Faceit stats

Combat

132Matches
61%Win rate
1.13Avg K/D
84.5ADR
43%Headshot %

Clutches & streaks

39%1v1 clutch win
19%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4365%1.2116.9
Dust22767%1.2417.7
Ancient2060%0.9013.3
Inferno1753%0.9316.1
Anubis1362%1.4721.0
Nuke729%0.7011.1
Train2100%0.729.5
Vertigo250%1.5013.0

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.

19.6%Headshot accuracy
36.2%Accuracy (enemy spotted)
39.0%Spray accuracy
80.0%Counter-strafing
8.7°Preaim
537msReaction time
61.5%T opening success
50.4%CT opening success
0.46Enemies flashed / flash
5.2%Flash assists
8.88HE damage / grenade
8.50Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4618 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

46% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.038%15 Nov →
dust213–100.0319%14 Nov →
dust25–13-0.0623%14 Nov →
dust213–70.0115%13 Nov →
vertigo12–12-0.0024%13 Nov →
mirage13–10.1217%10 Nov →
dust27–13-0.0418%10 Nov →
ancient6–13-0.0027%10 Nov →
mirage13–50.0416%10 Nov →
anubis13–10.2120%10 Nov →
cache5–13-0.0225%10 Nov →
anubis15–15-0.0123%9 Nov →
dust213–90.0614%9 Nov →
mirage13–110.0818%9 Nov →
mirage13–100.0026%9 Nov →
ancient13–80.0723%9 Nov →
nuke13–20.0329%9 Nov →
dust215–150.0229%8 Nov →
nuke15–15-0.0019%8 Nov →
ancient3–13-0.0311%8 Nov →
dust213–5-0.0211%8 Nov →
mirage6–13-0.0519%7 Nov →
mirage4–13-0.0712%7 Nov →
mirage13–100.0317%7 Nov →
dust210–130.0634%7 Nov →
ancient13–8-0.0414%6 Nov →
dust25–13-0.0513%6 Nov →
ancient13–100.0216%6 Nov →
mirage13–60.0823%6 Nov →
nuke13–11-0.0122%6 Nov →
dust213–110.0729%3 Nov →
inferno13–60.0513%3 Nov →
overpass13–5-0.025%3 Nov →
mirage11–13-0.028%3 Nov →
anubis8–130.0223%3 Nov →
office13–100.0521%3 Nov →
mirage2–13-0.028%30 Oct →
dust213–80.2422%28 Oct →
dust212–120.0314%27 Oct →
mirage13–3-0.0132%26 Oct →
nuke13–5-0.047%25 Oct →
ancient13–30.0412%25 Oct →
mirage8–13-0.0416%25 Oct →
dust25–13-0.049%25 Oct →
vertigo13–30.1033%24 Oct →
ancient8–130.1430%24 Oct →
ancient13–100.0223%23 Oct →
mirage13–11-0.0317%23 Oct →
dust211–130.1335%23 Oct →
inferno6–130.0713%23 Oct →
mirage13–10.144%23 Oct →
inferno16–12-0.0324%21 Oct →
mirage13–50.098%20 Oct →
overpass13–20.1520%18 Oct →
anubis13–6-0.0314%18 Oct →
dust213–80.0415%18 Oct →
mirage13–4-0.0220%13 Oct →
mirage13–11-0.0232%11 Oct →
nuke8–13-0.0726%11 Oct →
mirage8–13-0.058%5 Oct →
inferno13–110.0116%26 Sept →
dust213–5-0.069%21 Sept →
dust216–140.0916%17 Sept →
ancient13–80.0016%17 Sept →
dust28–13-0.077%17 Sept →
dust29–130.0714%17 Sept →
mirage3–130.0031%15 Sept →
dust28–13-0.0121%10 Sept →
office9–13-0.0020%6 Sept →
office13–90.1042%6 Sept →
mirage10–130.1028%31 Aug →
cache9–130.0826%23 Aug →
dust213–60.0020%22 Aug →
dust213–11-0.0428%18 Aug →
dust23–13-0.019%18 Aug →
mirage4–13-0.0513%17 Aug →
mirage4–13-0.0821%17 Aug →
anubis13–60.0232%16 Aug →
anubis13–20.0645%16 Aug →
dust213–6-0.0119%16 Aug →
dust213–10.0619%16 Aug →
inferno13–4-0.0115%11 Aug →
mirage13–20.029%11 Aug →
dust29–13-0.0018%8 Aug →
inferno13–4-0.098%7 Aug →
mirage14–160.0215%6 Aug →
ancient13–50.0124%4 Aug →
anubis13–70.0115%28 Jul →
anubis13–110.0319%28 Jul →
inferno9–130.1029%28 Jul →
dust27–13-0.0314%27 Jul →
mirage6–13-0.0924%27 Jul →
mirage10–130.0114%26 Jul →
anubis11–130.0316%26 Jul →
dust29–13-0.1013%26 Jul →
inferno13–110.0326%26 Jul →
dust213–110.0220%23 Jul →
cache13–11-0.052%19 Jul →
anubis13–10.1231%18 Jul →
mirage12–12-0.0025%18 Jul →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.