XSaber9298

XSaber9298 — CS2 Stats

76561198019392900[U:1:59127172]Steam profile ↗✓ No bans

3,844Tracked matches65%Win rate2020Tracked since
CSDB Rating5.2 DevelopingSupport
FaceitLevel 8 · 1,627 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 1 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,627 → 1,627
+130Tracked matches · now 3,844
+8.2ppWin rate · 57.1% → 65.4%

Rating over time

1,627Highest Faceit ELO seen on CSDB
12Days played since 2026-09-01

Faceit ELO

  • At peak — 1,627
  • Next: Level 9 at 1,751 — 124 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-01
  • Level 7 first seen 2026-09-01

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.GGXSaber9298FACEITLevel 8 · 1,627 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,627csdb.gg/stats

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Performance scores

Aim62
Positioning49
Utility52

0–100 skill scores via Leetify.

Recent form

HOT46–43–11Last 10046%Win rateWWWWLWWLWL

Last 10 vs previous 10: +40pp win rate · +0.05 avg rating · +1.9pp headshot accuracy · +37ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 694ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 643ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 625ms

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 (+1.8 against its own average).

Aim6.2
Utility5.2
Positioning4.9
Opening Duels1.8
Clutch1.8

Limited utility dependence

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

ZywOo

Plays most like ZywOo 90% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 601ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim6.2
Positioning4.9
Utility5.2
Mechanics3.6
Opening Duels3.5
Win Impact10.0

Composite 5.2/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time602ms−21ms
first ⅓ avg 623ms → last ⅓ avg 602ms
Headshot accuracy14.8%−2.7%
first ⅓ avg 17.6% → last ⅓ avg 14.8%

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

0.18Best match rating · 9–4 · nuke, 19 Sept →
37%Best headshot accuracy · 7–3 · nuke, 1 Oct →
398msFastest reaction time · 7–0 · nuke, 2 Oct →
13–1Biggest win · vertigo, 16 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
2–6In matches decided by ≤2 rounds

Map breakdown

infernoBest map · 86% over 7cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C4117–2441%0.00
nukeS1410–471%0.03
infernoS76–186%0.02
cacheD71–614%-0.02
ancientC73–443%0.01
mirageD71–614%-0.01
trainB63–350%0.02
vertigoC52–340%0.03
officeA53–260%-0.00
anubis—10–10%-0.05

Across the last 100 tracked matches.

Faceit stats

Combat

198Matches
56%Win rate
0.99Avg K/D
83.7ADR
45%Headshot %

Clutches & streaks

29%1v1 clutch win
33%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient5654%0.9916.0
Nuke4676%1.0215.3
Anubis3148%0.9514.1
Inferno2544%0.9916.2
Mirage2148%1.0614.6
Overpass933%0.7512.7
Dust2650%0.9213.3
Vertigo367%1.0717.7

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.

14.7%Headshot accuracy
34.4%Accuracy (enemy spotted)
38.2%Spray accuracy
66.2%Counter-strafing
7.5°Preaim
601msReaction time
47.3%T opening success
40.6%CT opening success
0.57Enemies flashed / flash
15.5%Flash assists
8.17HE damage / grenade
4.12Flashes / 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 14.7266% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Cache

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–8-0.1212%16 Oct →
dust213–100.0424%16 Oct →
dust29–20.0616%16 Oct →
inferno9–2-0.0513%16 Oct →
cache4–13-0.0212%16 Oct →
inferno13–70.1623%16 Oct →
vertigo13–10.0621%16 Oct →
dust26–130.016%12 Oct →
dust213–70.0314%12 Oct →
dust29–130.0615%12 Oct →
dust212–12-0.0220%12 Oct →
ancient4–13-0.0414%12 Oct →
nuke3–13-0.0713%12 Oct →
train13–9-0.0011%12 Oct →
cache13–11-0.026%12 Oct →
dust211–13-0.0413%10 Oct →
dust27–13-0.0513%10 Oct →
dust212–12-0.0314%10 Oct →
train10–13-0.0115%10 Oct →
nuke13–80.0019%10 Oct →
mirage12–12-0.0114%10 Oct →
inferno13–10-0.095%10 Oct →
dust213–40.0918%4 Oct →
dust212–12-0.0017%4 Oct →
nuke13–9-0.0117%4 Oct →
ancient13–30.1210%4 Oct →
inferno13–7-0.0223%4 Oct →
cache7–13-0.0610%4 Oct →
nuke13–30.0915%4 Oct →
train13–70.0121%4 Oct →
vertigo11–13-0.0112%4 Oct →
nuke11–10.0911%4 Oct →
dust22–13-0.0224%4 Oct →
dust212–12-0.0311%2 Oct →
dust28–13-0.0322%2 Oct →
dust29–13-0.0419%2 Oct →
dust25–13-0.0519%2 Oct →
vertigo5–130.0015%2 Oct →
vertigo10–40.0817%2 Oct →
mirage4–13-0.0214%2 Oct →
dust213–40.0618%2 Oct →
dust213–90.0425%2 Oct →
nuke7–0-0.0220%2 Oct →
office4–13-0.0516%2 Oct →
dust213–100.0722%2 Oct →
mirage9–13-0.0116%2 Oct →
inferno13–110.0711%1 Oct →
cache11–13-0.066%1 Oct →
dust26–130.0923%1 Oct →
dust25–130.035%1 Oct →
nuke11–130.0115%1 Oct →
mirage13–40.0325%1 Oct →
mirage8–13-0.037%1 Oct →
ancient8–130.019%1 Oct →
nuke12–120.0013%1 Oct →
nuke7–30.0237%1 Oct →
mirage12–120.0213%1 Oct →
train12–120.0115%27 Sept →
inferno12–120.0113%27 Sept →
vertigo4–130.0121%27 Sept →
dust213–3-0.0114%27 Sept →
cache7–130.0215%27 Sept →
ancient13–20.0216%27 Sept →
nuke10–13-0.0221%27 Sept →
dust28–13-0.097%26 Sept →
train7–130.1018%26 Sept →
dust22–130.0115%26 Sept →
dust27–130.0032%26 Sept →
ancient11–130.0214%26 Sept →
office6–130.0136%26 Sept →
ancient13–30.0312%26 Sept →
dust213–70.0213%26 Sept →
dust213–70.0619%26 Sept →
dust213–10-0.0113%26 Sept →
inferno13–60.0310%26 Sept →
dust26–13-0.0914%19 Sept →
dust212–12-0.0615%19 Sept →
dust21–7-0.098%19 Sept →
mirage9–13-0.0416%19 Sept →
nuke13–30.066%19 Sept →
cache2–130.0221%19 Sept →
nuke9–40.1813%19 Sept →
office13–90.0619%18 Sept →
office13–10-0.0216%18 Sept →
office13–8-0.0116%18 Sept →
dust28–130.0516%18 Sept →
dust25–130.0612%18 Sept →
dust211–13-0.0520%13 Sept →
dust213–30.1030%13 Sept →
nuke13–60.0413%13 Sept →
dust211–20.0624%13 Sept →
dust213–40.0619%13 Sept →
train13–5-0.0010%13 Sept →
nuke13–60.0612%13 Sept →
ancient8–13-0.0615%13 Sept →
cache1–110.0132%13 Sept →
anubis12–12-0.0515%13 Sept →
dust213–3-0.0218%11 Sept →
dust213–8-0.0632%11 Sept →
dust210–130.0220%11 Sept →

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 →

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