Tilt

Tilt — CS2 Stats

CA76561197980276374[U:1:20010646]Steam profile ↗✓ No bans

3,221Tracked matches46%Win rate2020Tracked since
CSDB Rating6.4 SolidSupport
Premier CS Rating27,490Top 5% of 201,122 CSDB-tracked playersRed band · top ~1.8% of ranked players (population est.)
CSDB Leaderboard#3883 of 247982 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGTiltPREMIER27,490 · Red bandcsdb.gg/stats

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Performance scores

Aim83
Positioning51
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY46–42–12Last 10046%Win rateLLWWTTLWWL

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.2pp headshot accuracy · −102ms 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 469ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 467ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 518ms

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 (+3.1 against its own average).

Aim8.3
Utility6.7
Positioning5.1
Opening Duels1.7
Clutch1.0

Strong CT-side opener

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 94% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 45% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.3
Positioning5.1
Utility6.7
Mechanics6.5
Opening Duels1.9
Win Impact3.7

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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time508ms−50ms
first ⅓ avg 558ms → last ⅓ avg 508ms
Headshot accuracy19.9%−1.9%
first ⅓ avg 21.9% → last ⅓ avg 19.9%

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

0.20Best match rating · 13–2 · inferno, 3 Sept →
43%Best headshot accuracy · 9–13 · train, 16 Sept →
328msFastest reaction time · 1–13 · inferno, 15 Sept →
13–1Biggest win · inferno, 16 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
4–5In matches decided by ≤2 rounds

Map breakdown

trainBest map · 67% over 6dust2Weakest map · 38% over 24
MapGradePlayedRecordWin rateAvg rating
dust2C249–1538%-0.00
infernoB137–654%0.03
mirageB126–650%0.01
cacheC104–640%-0.02
ancientB105–550%-0.01
anubisA95–456%0.01
nukeC73–443%-0.01
trainS64–267%0.01
overpass—41–325%-0.01
office—42–250%0.03
vertigo—10–10%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 24). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

463Matches
54%Win rate
1.19Avg K/D
58.0ADR
46%Headshot %

Clutches & streaks

25%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno475%1.3816.5
Dust2475%0.8215.0
Nuke367%0.6912.0
Mirage367%0.336.7
Overpass2100%0.507.0
Ancient2100%1.1822.0
Anubis1100%1.3316.0
Cache1100%0.808.0

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.

20.0%Headshot accuracy
38.4%Accuracy (enemy spotted)
40.4%Spray accuracy
79.1%Counter-strafing
9.7°Preaim
516msReaction time
20.5%T opening success
45.1%CT opening success
0.56Enemies flashed / flash
4.6%Flash assists
11.41HE damage / grenade
17.55Flashes / 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 20.5085% — below the 40% mark we flag

Spend your practice time on Dust 2

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

38% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache3–13-0.089%17 Sept →
ancient3–13-0.0211%17 Sept →
inferno13–70.0322%17 Sept →
anubis13–40.0523%17 Sept →
dust212–12-0.0615%17 Sept →
dust212–120.0919%16 Sept →
train9–130.0743%16 Sept →
inferno13–10.0722%16 Sept →
ancient13–90.0123%16 Sept →
overpass11–13-0.0318%16 Sept →
nuke13–90.0322%16 Sept →
office10–130.0315%16 Sept →
mirage13–9-0.0120%15 Sept →
dust213–100.0822%15 Sept →
anubis0–8-0.0220%15 Sept →
nuke2–13-0.0121%15 Sept →
inferno1–130.0219%15 Sept →
train10–130.0126%15 Sept →
mirage6–130.0623%14 Sept →
mirage5–13-0.0017%14 Sept →
inferno13–10.0223%14 Sept →
mirage13–30.0912%14 Sept →
ancient2–90.0133%14 Sept →
overpass7–13-0.059%14 Sept →
dust212–12-0.0419%14 Sept →
nuke12–12-0.0630%6 Sept →
ancient9–13-0.0613%6 Sept →
inferno13–8-0.0114%6 Sept →
mirage13–5-0.0115%6 Sept →
dust213–80.0623%6 Sept →
dust211–13-0.0817%5 Sept →
cache6–5-0.0421%5 Sept →
mirage5–13-0.0420%5 Sept →
nuke13–90.0332%5 Sept →
anubis13–9-0.0220%5 Sept →
inferno8–130.0417%5 Sept →
dust29–13-0.0131%5 Sept →
cache7–13-0.0826%5 Sept →
ancient13–40.0516%5 Sept →
cache7–13-0.0718%5 Sept →
mirage13–11-0.0228%5 Sept →
dust212–12-0.0522%5 Sept →
dust21–100.0718%4 Sept →
dust213–50.0224%4 Sept →
inferno11–130.0127%4 Sept →
train13–90.0525%4 Sept →
anubis13–30.0536%4 Sept →
inferno3–13-0.1329%4 Sept →
office13–70.1737%4 Sept →
ancient8–13-0.0422%4 Sept →
vertigo12–120.0619%4 Sept →
nuke4–13-0.0117%4 Sept →
dust213–6-0.049%4 Sept →
dust213–7-0.0219%3 Sept →
dust212–12-0.0422%3 Sept →
inferno13–20.2026%3 Sept →
cache13–90.0325%3 Sept →
dust28–130.0128%3 Sept →
anubis6–13-0.0127%3 Sept →
overpass10–130.0224%3 Sept →
ancient13–80.0123%3 Sept →
train13–5-0.0333%3 Sept →
dust211–130.0220%3 Sept →
inferno10–130.0118%3 Sept →
mirage12–120.0422%3 Sept →
cache13–100.0320%3 Sept →
dust211–20.0313%3 Sept →
nuke13–5-0.0238%3 Sept →
inferno13–2-0.0121%2 Sept →
office13–11-0.0520%2 Sept →
cache8–13-0.0313%2 Sept →
dust22–130.0023%2 Sept →
inferno13–70.0416%2 Sept →
anubis2–13-0.0619%2 Sept →
mirage13–100.0723%2 Sept →
nuke10–13-0.0434%2 Sept →
dust28–13-0.0729%2 Sept →
cache13–70.0324%23 Aug →
ancient4–13-0.0924%23 Aug →
inferno12–120.0629%23 Aug →
train13–1-0.0214%23 Aug →
dust213–8-0.0425%23 Aug →
anubis12–12-0.0219%23 Aug →
office11–13-0.0230%22 Aug →
anubis13–80.0414%22 Aug →
overpass13–110.0231%22 Aug →
train13–9-0.0419%22 Aug →
dust213–50.0725%22 Aug →
cache7–13-0.0228%22 Aug →
mirage12–120.0323%22 Aug →
mirage13–9-0.0412%22 Aug →
dust213–30.1014%20 Aug →
dust26–13-0.0823%20 Aug →
ancient13–9-0.0315%20 Aug →
cache12–120.0117%19 Aug →
anubis13–80.0927%18 Aug →
dust27–13-0.0327%18 Aug →
ancient13–60.0619%18 Aug →
dust29–13-0.0219%18 Aug →
mirage4–13-0.019%18 Aug →

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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