ShaiL

ShaiL — CS2 Stats

DE76561197973824190[U:1:13558462]Steam profile ↗✓ No bans

494Tracked matches38%Win rate2020Tracked since
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating12,291Blue band · top ~42.8% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Oct 2026 (yesterday). 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: 12,291 -4,579 11 Apr – 31 Oct · 36 days played
12,29116,870peak 16,87011 Apr31 Oct
17,132Peak Premier in tracked matches
52Days played since 2026-04-11

Premier CS Rating

  • 4,579 below peak (16,870)
  • -2,709 over 30 days · declining
  • Next: Purple band at 15,000 — 2,709 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGShaiLFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER12,291 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning65
Utility64

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLLLWLLTLLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +1.5pp headshot accuracy · +52ms 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 (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 636ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 606ms

Last 20

  • 4–15–1 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 580ms

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).

Aim5.9
Utility6.4
Positioning6.5
Opening Duels3.5
Clutch2.2

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

jL

Plays most like jL 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 580ms 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

Aim5.9
Positioning6.5
Utility6.4
Mechanics5.6
Opening Duels4.3
Win Impact1.0

Composite 5.1/10 (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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time585ms−60ms
first ⅓ avg 645ms → last ⅓ avg 585ms
Headshot accuracy14.7%+0.9%
first ⅓ avg 13.8% → last ⅓ avg 14.7%

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

0.09Best match rating · 11–0 · cache, 12 May →
28%Best headshot accuracy · 4–13 · ancient, 5 Jun →
359msFastest reaction time · 11–0 · cache, 12 May →
13–2Biggest win · dust2, 23 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
6–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 54% over 13mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C208–1240%0.01
infernoC188–1044%-0.01
nukeB137–654%-0.01
ancientD134–931%-0.02
mirageD113–827%-0.04
cacheC104–640%0.02
anubisD93–633%-0.00
office—32–167%-0.00
vertigo—22–0100%0.03
train—11–0100%0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

587Matches
51%Win rate
1.19Avg K/D
53.9ADR
43%Headshot %

Clutches & streaks

31%1v1 clutch win
8%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust260%0.488.7
Mirage650%0.6311.5
Anubis30%0.498.3
Ancient250%0.749.0
Train1100%0.738.0
Inferno10%1.3117.0
Nuke10%0.7014.0

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.

15.1%Headshot accuracy
33.3%Accuracy (enemy spotted)
34.1%Spray accuracy
75.3%Counter-strafing
9.7°Preaim
580msReaction time
49.5%T opening success
44.9%CT opening success
0.63Enemies flashed / flash
6.0%Flash assists
9.21HE damage / grenade
9.79Flashes / match

Recommended for you

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–130.0514%31 Oct →
mirage6–130.0215%30 Oct →
dust24–130.028%30 Oct →
anubis13–100.0215%30 Oct →
inferno9–13-0.0113%29 Oct →
cache10–130.0220%28 Oct →
nuke15–150.0114%27 Oct →
anubis8–13-0.0121%24 Oct →
cache2–13-0.0020%24 Oct →
dust27–13-0.039%23 Oct →
mirage4–13-0.0920%23 Oct →
dust213–20.047%23 Oct →
nuke13–100.036%20 Oct →
mirage13–10-0.066%20 Oct →
ancient8–130.0414%16 Oct →
inferno11–13-0.0727%8 Oct →
anubis10–130.0813%8 Oct →
dust211–130.0322%8 Oct →
cache3–130.0311%5 Oct →
inferno9–13-0.048%30 Sept →
dust213–10-0.019%30 Sept →
inferno13–80.0011%30 Sept →
nuke13–60.0121%30 Sept →
inferno13–30.0421%30 Sept →
dust210–130.0718%29 Sept →
ancient11–13-0.0214%27 Sept →
dust213–70.0524%27 Sept →
vertigo8–20.043%23 Sept →
nuke2–13-0.0721%23 Sept →
dust213–70.0223%23 Sept →
office13–11-0.0011%1 Sept →
dust26–130.0413%1 Sept →
mirage13–50.0311%1 Sept →
dust213–30.0316%1 Sept →
mirage7–13-0.1115%28 Aug →
dust25–130.0715%28 Aug →
mirage15–150.0110%26 Aug →
nuke13–110.0321%25 Aug →
inferno13–70.0615%25 Aug →
cache4–130.0221%20 Aug →
ancient16–12-0.0421%17 Aug →
dust27–13-0.0120%12 Aug →
anubis8–13-0.0120%12 Aug →
anubis13–110.0313%9 Aug →
cache13–30.0416%3 Aug →
anubis5–13-0.0912%1 Aug →
dust211–13-0.0011%24 Jul →
nuke16–14-0.0124%16 Jul →
mirage13–4-0.0122%16 Jul →
inferno10–13-0.0110%24 Jun →
dust28–13-0.0620%14 Jun →
mirage3–13-0.0414%12 Jun →
ancient4–13-0.0128%5 Jun →
dust216–13-0.0816%4 Jun →
dust213–80.0718%4 Jun →
nuke6–13-0.0517%4 Jun →
mirage1–13-0.1013%4 Jun →
inferno10–13-0.069%3 Jun →
mirage7–13-0.0211%3 Jun →
ancient13–100.0018%29 May →
inferno1–13-0.0411%29 May →
ancient11–130.0120%28 May →
nuke16–130.0316%28 May →
inferno13–11-0.0017%28 May →
mirage10–13-0.047%19 May →
dust213–11-0.019%19 May →
nuke15–15-0.0011%17 May →
nuke10–13-0.0413%17 May →
nuke16–130.0216%16 May →
anubis13–80.0024%15 May →
ancient16–13-0.0412%15 May →
inferno13–40.0426%13 May →
inferno13–70.0427%13 May →
inferno9–6-0.002%13 May →
inferno5–9-0.1315%13 May →
nuke13–8-0.0621%12 May →
cache13–60.037%12 May →
cache11–00.0913%12 May →
office9–130.0212%7 May →
vertigo6–00.0123%7 May →
cache10–13-0.0016%7 May →
ancient1–13-0.0814%7 May →
ancient11–13-0.019%2 May →
train13–100.0617%2 May →
cache0–13-0.0714%2 May →
cache13–100.0214%29 Apr →
nuke14–16-0.0313%28 Apr →
anubis15–15-0.0013%28 Apr →
ancient11–13-0.042%27 Apr →
dust29–13-0.0614%27 Apr →
inferno6–13-0.0312%27 Apr →
ancient13–160.048%24 Apr →
inferno13–70.049%23 Apr →
anubis6–13-0.0414%18 Apr →
inferno1–13-0.068%17 Apr →
ancient3–13-0.0818%17 Apr →
inferno4–130.0015%14 Apr →
office13–9-0.027%14 Apr →
ancient13–100.0112%14 Apr →
dust27–13-0.0515%11 Apr →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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