Shaff

Shaff — CS2 Stats

76561198110318254[U:1:150052526]Steam profile ↗✓ No bans

2,272Tracked matches54%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating17,626Purple band · top ~17.9% of ranked players (population est.)
FaceitLevel 7 · 1,497 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 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: 17,626 -813 4 Jun – 30 Sept · 30 days played
15,39419,070peak 19,0704 Jun30 Sept
19,070Peak Premier in tracked matches
1,497Highest Faceit ELO seen on CSDB
37Days played since 2026-06-02

Faceit ELO

  • At peak — 1,497
  • Next: Level 8 at 1,531 — 34 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-08-29
  • Level 6 first seen 2026-08-29

Premier CS Rating

  • 1,444 below peak (19,070)
  • +309 over 30 days · steady
  • -527 over 90 days
  • Next: Pink band at 20,000 — 2,374 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-29
  • Blue band first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.GGShaffFACEITLevel 7 · 1,497 ELOSTANDINGTop 42.3% of rankedPREMIER17,626 · Purple bandPEAK ELO1,497csdb.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

Aim58
Positioning52
Utility74

0–100 skill scores via Leetify.

Recent form

COLD46–46–8Last 10046%Win rateLWLWLWLLLT

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +0.6pp headshot accuracy · +84ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 11%
  • Avg reaction 628ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 616ms

Last 20

  • 7–9–4 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 12%
  • Avg reaction 575ms

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 (+2.9 against its own average).

Aim5.8
Utility7.4
Positioning5.2
Opening Duels1.1
Clutch4.2

Effective 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

Twistzz

Plays most like Twistzz 69% 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. 573ms 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

Aim5.8
Positioning5.2
Utility7.4
Mechanics7.1
Opening Duels1.9
Win Impact6.3

Composite 5.8/10 (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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time588ms−27ms
first ⅓ avg 614ms → last ⅓ avg 588ms
Headshot accuracy12.0%−1.0%
first ⅓ avg 13.0% → last ⅓ avg 12.0%

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

0.18Best match rating · 9–1 · inferno, 30 Jul →
34%Best headshot accuracy · 5–13 · cache, 23 Jul →
391msFastest reaction time · 13–5 · nuke, 6 Sept →
13–1Biggest win · dust2, 24 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–5In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 67% over 18ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB3015–1550%-0.03
nukeS1812–667%-0.03
dust2B168–850%-0.05
cacheC146–843%-0.03
mirageD72–529%-0.06
ancientD61–517%-0.03
anubis—42–250%-0.03
overpass—30–30%-0.08
vertigo—20–20%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

406Matches
52%Win rate
0.80Avg K/D
68.5ADR
35%Headshot %

Clutches & streaks

41%1v1 clutch win
9%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno3057%0.8311.9
Vertigo2259%0.8613.4
Anubis1242%0.8112.7
Nuke967%0.659.7
Ancient933%0.8211.1
Mirage838%0.5610.9
Dust2560%0.689.6
Train333%0.839.3

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.

12.2%Headshot accuracy
31.6%Accuracy (enemy spotted)
30.9%Spray accuracy
81.9%Counter-strafing
9.3°Preaim
573msReaction time
42.3%T opening success
33.3%CT opening success
0.72Enemies flashed / flash
5.0%Flash assists
15.63HE damage / grenade
14.56Flashes / 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 12.1646% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.2972% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0111%30 Sept →
nuke13–90.0021%30 Sept →
mirage8–13-0.107%28 Sept →
dust213–8-0.0512%27 Sept →
anubis10–13-0.037%25 Sept →
nuke13–60.026%25 Sept →
ancient6–13-0.0313%25 Sept →
inferno10–13-0.0512%22 Sept →
dust23–13-0.1017%20 Sept →
vertigo12–12-0.0324%20 Sept →
cache13–60.0314%19 Sept →
dust213–3-0.065%19 Sept →
inferno7–13-0.0119%19 Sept →
mirage15–15-0.0516%18 Sept →
inferno15–15-0.028%18 Sept →
dust215–15-0.0412%18 Sept →
dust210–13-0.0714%17 Sept →
inferno13–6-0.047%17 Sept →
nuke13–11-0.0411%17 Sept →
mirage5–13-0.0816%15 Sept →
cache0–13-0.0620%15 Sept →
dust24–13-0.075%15 Sept →
nuke10–13-0.0216%14 Sept →
nuke13–9-0.0116%13 Sept →
inferno13–90.019%13 Sept →
dust213–7-0.0427%13 Sept →
cache13–10-0.0411%7 Sept →
nuke13–5-0.047%6 Sept →
cache13–9-0.006%6 Sept →
inferno13–11-0.073%5 Sept →
ancient9–13-0.006%5 Sept →
nuke13–30.065%5 Sept →
nuke13–16-0.0318%2 Sept →
inferno13–10-0.028%2 Sept →
cache6–13-0.0312%2 Sept →
ancient9–13-0.0624%2 Sept →
inferno13–10-0.039%2 Aug →
dust22–13-0.095%2 Aug →
inferno12–12-0.0316%31 Jul →
overpass1–9-0.228%30 Jul →
inferno9–10.1812%30 Jul →
nuke9–13-0.0218%27 Jul →
inferno13–7-0.026%25 Jul →
cache6–13-0.080%25 Jul →
nuke13–7-0.0612%25 Jul →
mirage2–13-0.1025%25 Jul →
inferno13–11-0.0320%25 Jul →
inferno13–3-0.037%25 Jul →
anubis7–13-0.0718%25 Jul →
mirage7–13-0.0713%25 Jul →
nuke13–3-0.0622%25 Jul →
cache9–130.0224%25 Jul →
mirage13–11-0.0711%24 Jul →
dust213–1-0.0012%24 Jul →
cache13–90.0328%24 Jul →
nuke8–13-0.0613%24 Jul →
dust211–13-0.0615%24 Jul →
dust213–11-0.0212%24 Jul →
mirage13–40.017%23 Jul →
cache5–13-0.0234%23 Jul →
inferno13–80.0116%23 Jul →
nuke16–12-0.0317%21 Jul →
cache11–13-0.0612%21 Jul →
inferno8–13-0.077%21 Jul →
anubis13–110.0115%21 Jul →
cache13–6-0.008%21 Jul →
inferno13–6-0.028%13 Jul →
dust213–70.0114%13 Jul →
nuke13–9-0.079%13 Jul →
inferno13–4-0.0613%13 Jul →
dust213–2-0.0416%13 Jul →
dust28–13-0.088%13 Jul →
inferno3–13-0.0223%12 Jul →
nuke16–14-0.0510%12 Jul →
inferno6–13-0.1010%11 Jul →
nuke11–13-0.0811%11 Jul →
inferno7–13-0.0523%11 Jul →
inferno9–20.053%5 Jul →
inferno7–130.009%5 Jul →
overpass11–13-0.0318%5 Jul →
overpass8–130.0014%3 Jul →
inferno5–13-0.0417%3 Jul →
anubis13–9-0.046%23 Jun →
ancient13–8-0.0219%23 Jun →
inferno13–10-0.004%23 Jun →
inferno13–6-0.0517%19 Jun →
vertigo12–12-0.0221%19 Jun →
inferno8–13-0.0722%18 Jun →
cache2–13-0.088%18 Jun →
ancient6–13-0.0525%10 Jun →
dust211–13-0.1021%10 Jun →
inferno8–13-0.0714%10 Jun →
nuke8–13-0.0513%7 Jun →
inferno4–13-0.0819%7 Jun →
nuke13–100.044%6 Jun →
ancient15–15-0.0411%6 Jun →
dust213–11-0.0411%6 Jun →
inferno15–150.0110%4 Jun →
inferno5–13-0.047%4 Jun →
cache13–9-0.093%2 Jun →

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.