tilpi

tilpi — CS2 Stats

FI76561199120617239[U:1:1160351511]Steam profile ↗✓ No bans

1,967Tracked matches60%Win rate2021Tracked since
CSDB Rating7.4 StrongPositional Player
Premier CS Rating21,492Top 50% of 205,709 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#61655 of 253160 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+1059Premier CS Rating · 20,433 → 21,492

Rating over time

Premier CS Rating: 21,492 +1,594 26 Jul – 18 Oct · 49 days played
18,35921,492peak 21,49226 Jul18 Oct
21,492Peak Premier in tracked matches
48Days played since 2026-07-26

Premier CS Rating

  • At peak — 21,492
  • +1,774 over 30 days · improving
  • +1,594 over 90 days
  • Next: Red band at 25,000 — 3,508 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-11
  • Blue band first seen 2026-09-11

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

Share this profile

CSDB.GGtilpiFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER21,492 · Pink bandcsdb.gg/stats

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Performance scores

Aim78
Positioning72
Utility62

0–100 skill scores via Leetify.

Recent form

HOT52–45–3Last 10052%Win rateWWWWLWLWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −5.4pp headshot accuracy · +40ms reaction

Win rate up 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 586ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 14%
  • Avg reaction 574ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 554ms

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 (+0.9 against its own average).

Aim7.8
Utility6.2
Positioning7.2
Opening Duels5.4

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: utility contribution, positioning profile.

Where you differ: 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 565ms 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

Aim7.8
Positioning7.2
Utility6.2
Mechanics6.7
Opening Duels7.2
Win Impact8.3

Composite 7.4/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time578ms−77ms
first ⅓ avg 655ms → last ⅓ avg 578ms
Headshot accuracy17.7%−0.2%
first ⅓ avg 17.9% → last ⅓ avg 17.7%

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

0.19Best match rating · 13–4 · dust2, 13 Aug →
35%Best headshot accuracy · 5–13 · dust2, 26 Jul →
422msFastest reaction time · 13–10 · cache, 22 Sept →
13–2Biggest win · inferno, 8 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W4Current streak
6–9In matches decided by ≤2 rounds
10Overtime games

Map breakdown

dust2Best map · 68% over 22cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageA2514–1156%0.00
dust2S2215–768%0.02
nukeA148–657%-0.01
infernoD124–833%-0.00
ancientB115–645%-0.03
anubisB105–550%-0.03
cacheD61–517%-0.01

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.7%Headshot accuracy
34.4%Accuracy (enemy spotted)
34.6%Spray accuracy
80.3%Counter-strafing
6.8°Preaim
565msReaction time
62.2%T opening success
55.5%CT opening success
0.62Enemies flashed / flash
7.0%Flash assists
8.96HE damage / grenade
12.40Flashes / match

Recommended for you

Spend your practice time on Cache

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.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–8-0.0020%18 Oct →
mirage13–60.0517%18 Oct →
dust213–6-0.017%18 Oct →
mirage13–30.0116%17 Oct →
dust26–130.0217%16 Oct →
mirage13–50.0216%15 Oct →
inferno6–13-0.0214%14 Oct →
nuke13–8-0.0214%14 Oct →
dust211–13-0.0110%14 Oct →
ancient13–6-0.0014%13 Oct →
anubis13–90.0328%13 Oct →
inferno10–130.0112%12 Oct →
ancient13–110.0420%11 Oct →
inferno11–130.0129%11 Oct →
anubis13–9-0.0118%11 Oct →
dust27–130.0514%11 Oct →
ancient2–13-0.0418%11 Oct →
ancient2–13-0.0426%10 Oct →
mirage16–120.0516%10 Oct →
ancient16–13-0.0117%10 Oct →
ancient0–13-0.0626%9 Oct →
inferno13–11-0.0325%24 Sept →
mirage16–14-0.0512%23 Sept →
cache13–10-0.0019%22 Sept →
mirage5–13-0.0520%22 Sept →
dust213–70.0717%19 Sept →
nuke11–13-0.0019%18 Sept →
mirage13–100.0212%18 Sept →
cache8–13-0.0223%17 Sept →
dust216–140.0920%16 Sept →
anubis11–13-0.0311%15 Sept →
mirage13–100.0221%14 Sept →
inferno9–130.0018%12 Sept →
ancient13–90.0417%11 Sept →
mirage8–130.0127%11 Sept →
dust213–100.0417%11 Sept →
ancient13–8-0.0123%11 Sept →
inferno8–130.0117%11 Sept →
mirage15–150.0013%10 Sept →
anubis13–60.0320%10 Sept →
mirage13–40.0013%10 Sept →
mirage8–13-0.0517%10 Sept →
ancient6–13-0.0816%10 Sept →
dust25–13-0.0525%9 Sept →
nuke13–60.0417%9 Sept →
anubis8–13-0.0613%8 Sept →
mirage9–13-0.0720%8 Sept →
inferno13–20.0525%8 Sept →
dust210–30.078%8 Sept →
nuke15–15-0.0413%7 Sept →
cache11–130.0113%5 Sept →
inferno9–13-0.0415%31 Aug →
mirage13–70.0119%27 Aug →
mirage10–20.1429%25 Aug →
dust211–13-0.0510%23 Aug →
anubis13–5-0.0219%23 Aug →
cache6–13-0.0323%23 Aug →
mirage3–13-0.0314%23 Aug →
inferno5–90.0120%23 Aug →
nuke11–13-0.0815%20 Aug →
nuke13–4-0.0320%19 Aug →
nuke14–160.0120%18 Aug →
dust213–30.0418%18 Aug →
dust213–40.1914%13 Aug →
inferno13–40.0118%13 Aug →
ancient3–13-0.0823%12 Aug →
nuke13–70.0220%11 Aug →
nuke10–130.0226%11 Aug →
mirage11–130.0128%11 Aug →
mirage13–70.0519%10 Aug →
nuke13–9-0.0021%9 Aug →
dust216–130.0026%9 Aug →
dust213–60.0920%9 Aug →
dust213–90.0215%9 Aug →
mirage1–13-0.0622%8 Aug →
mirage13–50.0312%8 Aug →
mirage13–100.0716%7 Aug →
anubis2–13-0.0218%7 Aug →
ancient10–13-0.0216%6 Aug →
dust213–9-0.0317%6 Aug →
mirage6–130.0317%6 Aug →
mirage13–30.0021%5 Aug →
inferno13–7-0.0414%5 Aug →
nuke13–100.0413%4 Aug →
mirage6–13-0.0416%4 Aug →
dust213–10-0.0721%4 Aug →
inferno4–13-0.0115%2 Aug →
dust213–70.035%31 Jul →
dust213–100.0526%31 Jul →
nuke8–13-0.0610%31 Jul →
mirage12–12-0.080%31 Jul →
dust22–9-0.0313%31 Jul →
anubis13–4-0.1120%31 Jul →
cache6–13-0.0216%31 Jul →
anubis13–16-0.0514%29 Jul →
nuke13–11-0.0216%29 Jul →
anubis7–13-0.0312%29 Jul →
dust216–140.0324%29 Jul →
cache10–13-0.0126%27 Jul →
dust25–13-0.0435%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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