ling

ling — CS2 Stats

76561198055336947[U:1:95071219]Steam profile ↗✓ No bans

897Tracked matches63%Win rate2020Tracked since
CSDB Rating6.3 SolidPositional Player
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 4 Oct 2026 (17 days ago). Ranks are recorded once per day this page is viewed.

+2Tracked matches · now 897
0.0ppWin rate · 63.0% → 63.0%

Rating over time

Premier CS Rating: 27,435 +4,942 27 Mar – 4 Jul · 7 days played
22,39027,435peak 27,43527 Mar4 Jul
27,435Peak Premier in tracked matches
50Days played since 2026-02-25

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

Share this profile

CSDB.GGlingFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.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
Positioning54
Utility45

0–100 skill scores via Leetify.

Recent form

COLD56–32–12Last 10056%Win rateWLLLTWLLWL

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −1.0pp headshot accuracy · +11ms reaction

Win rate down 50pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 487ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 538ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 533ms

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 (+1.2 against its own average).

Aim8.2
Utility4.5
Positioning5.4
Opening Duels2.7

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

sh1ro

Plays most like sh1ro 97% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

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

Reaction time. 557ms 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

Aim8.2
Positioning5.4
Utility4.5
Mechanics6.8
Opening Duels1.6
Win Impact9.3

Composite 6.3/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time554ms−34ms
first ⅓ avg 588ms → last ⅓ avg 554ms
Headshot accuracy21.2%+2.2%
first ⅓ avg 19.0% → last ⅓ avg 21.2%

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

0.16Best match rating · 13–6 · train, 28 Mar →
42%Best headshot accuracy · 6–0 · mirage, 7 Jul →
414msFastest reaction time · 13–10 · anubis, 1 Apr →
13–1Biggest win · anubis, 16 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–3In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 67% over 9anubisWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
cacheA2716–1159%0.00
mirageA1710–759%0.01
anubisB105–550%0.00
dust2S96–367%0.01
ancientA85–363%-0.00
trainB84–450%0.04
nuke—43–175%0.02
vertigo—41–325%0.01
inferno—41–325%-0.00
overpass—42–250%0.02
office—31–233%0.02
shelter—11–0100%0.05
fachwerk—11–0100%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (50% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

285Matches
57%Win rate
1.07Avg K/D
—ADR
44%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage333%1.0016.0
Overpass10%0.8218.0
Vertigo1100%1.2211.0
Ancient10%0.8214.0
Inferno10%1.2918.0

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.

20.5%Headshot accuracy
36.9%Accuracy (enemy spotted)
41.5%Spray accuracy
80.4%Counter-strafing
9.4°Preaim
557msReaction time
33.3%T opening success
39.6%CT opening success
0.51Enemies flashed / flash
7.0%Flash assists
4.30HE damage / grenade
11.04Flashes / 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 33.2867% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
nuke13–50.0320%5 Oct →
ancient2–13-0.0816%5 Oct →
ancient4–13-0.0416%3 Oct →
mirage6–130.0125%3 Oct →
cache12–12-0.0123%3 Oct →
anubis13–10.1213%16 Sept →
cache11–130.0324%14 Sept →
mirage14–16-0.0017%14 Sept →
train13–50.0623%2 Sept →
office5–80.0218%2 Sept →
cache13–70.1022%1 Sept →
mirage13–70.0515%25 Aug →
dust213–80.0331%19 Aug →
dust212–120.0223%17 Aug →
mirage10–2-0.0111%17 Aug →
ancient13–30.0620%17 Aug →
nuke9–30.0221%15 Aug →
train13–90.0122%12 Aug →
dust213–9-0.0119%8 Aug →
vertigo5–13-0.0323%1 Aug →
vertigo2–13-0.0611%1 Aug →
anubis13–8-0.0421%22 Jul →
shelter13–110.0521%15 Jul →
fachwerk13–9-0.0120%15 Jul →
mirage13–7-0.0129%7 Jul →
mirage6–00.0942%7 Jul →
ancient13–10-0.0224%7 Jul →
cache7–13-0.0120%7 Jul →
anubis4–13-0.0016%4 Jul →
mirage12–12-0.0714%4 Jul →
inferno11–13-0.0027%4 Jul →
cache13–70.0129%4 Jul →
mirage9–130.0024%4 Jul →
anubis13–3-0.0329%4 Jul →
ancient13–9-0.019%4 Jul →
dust213–8-0.0225%4 Jul →
nuke13–60.0241%3 Jul →
mirage13–90.0215%3 Jul →
anubis12–12-0.0742%3 Jul →
mirage8–13-0.0716%3 Jul →
cache13–90.0125%3 Jul →
cache13–30.0618%27 Jun →
cache13–40.0314%27 Jun →
mirage13–11-0.0026%27 Jun →
cache13–9-0.029%24 Jun →
cache13–9-0.025%24 Jun →
cache8–13-0.0225%24 Jun →
cache13–11-0.0816%18 Jun →
mirage13–7-0.0619%18 Jun →
mirage1–13-0.0333%18 Jun →
ancient13–90.0412%18 Jun →
cache13–70.0725%31 May →
anubis10–13-0.0217%29 May →
anubis13–50.0315%28 May →
cache13–10-0.0513%26 May →
cache13–50.0421%26 May →
cache12–12-0.0217%18 May →
cache13–40.0118%15 May →
office13–60.0227%15 May →
cache12–12-0.0314%7 May →
cache2–7-0.069%7 May →
cache12–12-0.0213%7 May →
cache13–5-0.0124%3 May →
cache12–12-0.0213%3 May →
cache12–12-0.0237%3 May →
cache13–110.0719%3 May →
cache8–13-0.0221%29 Apr →
cache13–8-0.0031%28 Apr →
cache13–40.0927%28 Apr →
train13–80.0812%22 Apr →
train5–130.0825%22 Apr →
dust213–110.0215%11 Apr →
dust213–110.0225%8 Apr →
vertigo13–30.1118%8 Apr →
vertigo6–130.0319%8 Apr →
anubis7–13-0.0119%1 Apr →
anubis13–100.0416%1 Apr →
anubis8–130.0320%29 Mar →
train13–60.1614%28 Mar →
mirage8–130.1021%27 Mar →
inferno9–13-0.0323%25 Mar →
dust213–110.0523%25 Mar →
inferno7–13-0.0214%25 Mar →
nuke10–13-0.0021%24 Mar →
mirage13–100.0615%24 Mar →
mirage16–120.0114%22 Mar →
office10–130.0214%18 Mar →
dust215–150.0317%14 Mar →
dust210–13-0.048%14 Mar →
ancient10–13-0.0225%13 Mar →
overpass10–130.0210%13 Mar →
overpass10–13-0.0011%12 Mar →
overpass13–7-0.0232%12 Mar →
mirage13–30.0818%9 Mar →
inferno13–110.0321%8 Mar →
train12–120.0117%5 Mar →
ancient13–100.0517%4 Mar →
overpass13–20.0718%4 Mar →
train9–13-0.0427%25 Feb →
train12–12-0.0322%25 Feb →

Match data via Leetify.

Recent teammates

Milestones

500 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.