传说哥 Saber

传说哥 Saber — CS2 Stats

CN76561198334470376[U:1:374204648]Steam profile ↗✓ No bans

1,527Tracked matches44%Win rate2020Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating27,761Top 5% of 215,066 CSDB-tracked playersRed band · top ~1.7% of ranked players (population est.)
CSDB Leaderboard#3632 of 261298 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (2 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: 27,761 +2,244 27 Jul – 10 Nov · 26 days played
25,51728,672peak 28,67227 Jul10 Nov
28,696Peak Premier in tracked matches
33Days played since 2026-07-26

Premier CS Rating

  • 911 below peak (28,672)
  • +785 over 90 days
  • Next: Gold band at 30,000 — 2,239 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-08-28
  • Pink band first seen 2026-08-28

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

Share this profile

CSDB.GG传说哥 SaberFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER27,761 · Red bandcsdb.gg/stats

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Performance scores

Aim73
Positioning68
Utility55

0–100 skill scores via Leetify.

Recent form

COLD49–45–6Last 10049%Win rateTWLWWLLTLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · +13ms reaction

Win rate down 30pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 27%
  • Avg reaction 584ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 547ms

Last 20

  • 9–8–3 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 540ms

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).

Aim7.3
Utility5.5
Positioning6.8
Opening Duels4.0
Clutch3.4

Strong CT-side openerEffective flashes

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

jL

Plays most like jL 88% 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 →

CSDB Rating breakdown

Aim7.3
Positioning6.8
Utility5.5
Mechanics5.3
Opening Duels6.2
Win Impact3.1

Composite 6.4/10 (Solid), 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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time549ms−41ms
first ⅓ avg 590ms → last ⅓ avg 549ms
Headshot accuracy20.6%−0.9%
first ⅓ avg 21.5% → last ⅓ avg 20.6%

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.

Personal bests

0.18Best match rating · 9–2 · inferno, 28 Aug →
44%Best headshot accuracy · 13–1 · nuke, 10 Nov →
391msFastest reaction time · 13–10 · anubis, 4 Nov →
13–0Biggest win · ancient, 26 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 73% over 11anubisWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B199–1047%-0.01
infernoC188–1044%0.02
mirageC167–944%-0.02
cacheC146–843%0.01
ancientS118–373%0.04
anubisC104–640%0.02
nukeB84–450%-0.03
office—21–150%0.06
train—22–0100%0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

939Matches
53%Win rate
1.28Avg K/D
83.6ADR
47%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
15Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2556%1.0615.2
Inferno1765%1.2716.8
Ancient1741%1.0216.5
Dust21362%1.3916.9
Cache850%1.3021.8
Nuke40%1.0920.5
Anubis10%0.8917.0

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.

19.8%Headshot accuracy
33.1%Accuracy (enemy spotted)
34.7%Spray accuracy
73.8%Counter-strafing
7.9°Preaim
544msReaction time
56.0%T opening success
53.7%CT opening success
0.70Enemies flashed / flash
9.4%Flash assists
10.25HE damage / grenade
9.63Flashes / match

Recommended for you

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis12–12-0.0130%12 Nov →
anubis13–110.0717%12 Nov →
mirage5–13-0.1022%10 Nov →
nuke13–10.0244%10 Nov →
cache13–100.0324%8 Nov →
mirage8–130.0018%8 Nov →
cache9–130.0929%8 Nov →
inferno12–120.1214%8 Nov →
dust29–130.0120%7 Nov →
dust27–13-0.065%7 Nov →
anubis1–13-0.0727%7 Nov →
mirage15–15-0.0211%5 Nov →
inferno13–20.1736%5 Nov →
nuke10–13-0.0430%4 Nov →
mirage13–9-0.0219%4 Nov →
anubis13–10-0.0212%4 Nov →
mirage13–7-0.0215%4 Nov →
ancient13–6-0.0020%4 Nov →
ancient13–80.0818%3 Nov →
dust214–160.0322%3 Nov →
cache13–20.0213%1 Nov →
mirage13–100.0116%1 Nov →
anubis12–160.0019%1 Nov →
nuke3–13-0.088%1 Nov →
ancient5–13-0.0313%31 Oct →
ancient3–13-0.0139%31 Oct →
mirage10–13-0.0113%31 Oct →
cache2–13-0.0514%31 Oct →
nuke7–13-0.0416%31 Oct →
inferno13–8-0.0125%31 Oct →
ancient13–40.0324%31 Oct →
dust210–13-0.0718%31 Oct →
dust213–7-0.0431%29 Oct →
ancient13–40.0319%29 Oct →
mirage9–13-0.0217%29 Oct →
anubis8–130.0629%29 Oct →
anubis13–30.0221%29 Oct →
ancient13–10-0.0422%28 Oct →
office12–12-0.0317%28 Oct →
dust213–11-0.0114%28 Oct →
office13–100.1419%28 Oct →
anubis3–130.0221%27 Oct →
dust29–13-0.0017%27 Oct →
dust211–13-0.0228%27 Oct →
anubis13–50.1518%26 Oct →
dust213–70.0118%26 Oct →
ancient13–00.1022%26 Oct →
inferno13–160.0320%26 Oct →
mirage11–130.0520%26 Oct →
cache8–13-0.0220%25 Oct →
dust213–20.0613%25 Oct →
train13–11-0.007%25 Oct →
train13–100.0918%7 Sept →
dust21–13-0.0619%7 Sept →
mirage15–15-0.0412%7 Sept →
nuke13–80.1129%7 Sept →
cache13–100.0015%6 Sept →
nuke13–6-0.0827%29 Aug →
dust213–90.0524%29 Aug →
cache3–130.0130%28 Aug →
inferno4–9-0.0922%28 Aug →
inferno9–20.1829%28 Aug →
cache13–100.0918%25 Aug →
cache13–10-0.0216%24 Aug →
inferno12–16-0.044%24 Aug →
cache8–13-0.0229%24 Aug →
cache8–130.0328%23 Aug →
dust27–13-0.0337%15 Aug →
ancient13–160.0714%15 Aug →
ancient13–110.0930%10 Aug →
dust213–50.0027%9 Aug →
dust213–90.0317%9 Aug →
inferno7–130.0727%8 Aug →
mirage13–80.0021%6 Aug →
inferno6–13-0.0725%6 Aug →
inferno9–60.0321%6 Aug →
ancient13–70.0725%3 Aug →
cache1–13-0.0540%3 Aug →
cache13–70.0527%3 Aug →
anubis9–130.0019%3 Aug →
mirage16–140.0216%2 Aug →
dust210–13-0.0310%2 Aug →
mirage16–13-0.0621%2 Aug →
dust24–13-0.0420%2 Aug →
mirage13–6-0.0223%31 Jul →
nuke4–9-0.1315%31 Jul →
inferno6–90.1222%31 Jul →
inferno4–9-0.1731%31 Jul →
inferno7–9-0.0232%29 Jul →
inferno8–8-0.059%29 Jul →
inferno9–5-0.0421%29 Jul →
mirage3–13-0.0124%28 Jul →
inferno13–20.0626%28 Jul →
inferno13–60.0525%27 Jul →
dust213–100.0016%27 Jul →
mirage6–13-0.0725%27 Jul →
inferno13–30.0319%27 Jul →
cache3–13-0.107%26 Jul →
nuke13–60.0411%26 Jul →
dust213–9-0.018%26 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 →

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