impi

impi — CS2 Stats

76561197979458587[U:1:19192859]Steam profile ↗✓ No bans

1,087Tracked matches47%Win rate2020Tracked since
CSDB Rating6.6 SolidSupport
Premier CS Rating15,807Purple band · top ~25.2% of ranked players (population est.)
FaceitLevel 10 · 2,147 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (27 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 15,807 → 15,807
0Faceit ELO · 2,147 → 2,147
+12Tracked matches · now 1,087
+10.0ppWin rate · 36.7% → 46.7%

Rating over time

15,807Peak Premier on CSDB
2,147Highest Faceit ELO seen on CSDB
67Days played since 2025-05-15

Faceit ELO

  • At peak — 2,147
  • Next: 2,500 ELO at 2,500 — 353 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-04
  • Level 9 first seen 2026-09-04

Premier CS Rating

  • At peak — 15,807
  • Next: Pink band at 20,000 — 4,193 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-04
  • Blue band first seen 2026-09-04

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.GGimpiFACEITLevel 10 · 2,147 ELOSTANDINGTop 12.4% of rankedPREMIER15,807 · Purple bandPEAK ELO2,147csdb.gg/stats

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Performance scores

Aim79
Positioning63
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWWWWLLLLLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −2.9pp headshot accuracy · +49ms reaction

Win rate 0pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 573ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 617ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 593ms

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 (+1.5 against its own average).

Aim7.9
Utility7.1
Positioning6.3
Opening Duels5.0
Clutch4.0

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

jL

Plays most like jL 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

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

CT openings. 66% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 66% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 598ms 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

Aim7.9
Positioning6.3
Utility7.1
Mechanics7.0
Opening Duels4.5
Win Impact3.9

Composite 6.6/10 (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-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time601ms−5ms
first ⅓ avg 605ms → last ⅓ avg 601ms
Headshot accuracy21.8%−1.7%
first ⅓ avg 23.6% → last ⅓ avg 21.8%

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

0.17Best match rating · 9–3 · nuke, 6 Jul →
41%Best headshot accuracy · 13–10 · dust2, 5 Jun →
391msFastest reaction time · 13–5 · inferno, 6 Jul →
13–0Biggest win · train, 5 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W4Current streak
7–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 71% over 7ancientWeakest map · 35% over 20
MapGradePlayedRecordWin rateAvg rating
dust2C3013–1743%0.00
ancientC207–1335%-0.01
anubisB137–654%-0.00
infernoA116–555%-0.01
trainS75–271%0.03
mirageS64–267%0.02
cache—42–250%-0.00
overpass—43–175%-0.00
nuke—32–167%0.09
poseidon—20–20%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,163Matches
54%Win rate
1.06Avg K/D
77.3ADR
50%Headshot %

Clutches & streaks

40%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust228856%1.1015.3
Ancient20159%1.0214.7
Inferno10850%1.0415.6
Anubis10054%0.9915.6
Train6464%1.2217.7
Mirage4452%1.0114.8
Overpass3751%0.9714.6
Vertigo1540%0.8615.7

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.

20.8%Headshot accuracy
34.6%Accuracy (enemy spotted)
41.7%Spray accuracy
81.7%Counter-strafing
8.9°Preaim
598msReaction time
29.9%T opening success
66.0%CT opening success
0.60Enemies flashed / flash
14.3%Flash assists
9.94HE damage / grenade
15.20Flashes / 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 29.9498% — 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.

35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust219–16-0.0120%28 Sept →
anubis13–11-0.0123%27 Sept →
inferno13–90.0828%27 Sept →
mirage13–60.0723%4 Sept →
ancient10–13-0.0221%4 Sept →
dust28–13-0.0418%4 Sept →
cache11–130.0222%6 Aug →
anubis6–130.0411%22 Jul →
dust29–130.0316%22 Jul →
cache13–6-0.0418%15 Jul →
dust211–13-0.0222%15 Jul →
dust211–13-0.0326%11 Jul →
cache13–100.0126%11 Jul →
inferno13–5-0.0122%6 Jul →
nuke9–30.1731%6 Jul →
inferno6–9-0.1122%6 Jul →
cache16–19-0.0221%5 Jul →
ancient13–3-0.0117%3 Jun →
dust26–13-0.0818%3 Jun →
anubis13–100.0123%3 Jun →
anubis7–13-0.0421%26 May →
anubis13–50.0414%5 May →
anubis1–13-0.1031%1 May →
anubis12–16-0.049%26 Apr →
anubis16–140.0216%24 Mar →
dust210–130.0931%15 Mar →
anubis13–8-0.0523%28 Feb →
ancient8–13-0.0520%17 Feb →
poseidon2–9-0.1031%15 Feb →
poseidon5–90.0136%15 Feb →
inferno13–11-0.0121%8 Feb →
overpass2–13-0.0417%29 Jan →
dust22–13-0.0422%28 Jan →
overpass13–8-0.0028%27 Jan →
anubis11–130.0428%27 Jan →
dust27–13-0.0225%16 Jan →
dust29–130.0320%8 Jan →
ancient5–130.0327%28 Dec →
dust216–140.0420%27 Dec →
inferno9–13-0.0324%27 Dec →
inferno7–13-0.0319%15 Dec →
inferno13–70.0312%10 Dec →
dust213–10-0.0617%27 Nov →
ancient13–70.0328%21 Nov →
nuke7–90.0721%19 Nov →
dust27–13-0.0231%15 Nov →
ancient9–13-0.079%14 Nov →
dust213–40.0820%5 Nov →
overpass13–80.0323%5 Nov →
train13–00.0131%5 Nov →
ancient8–13-0.078%29 Oct →
ancient13–11-0.0419%28 Oct →
overpass13–9-0.0016%28 Oct →
train13–70.0328%27 Oct →
ancient8–130.0121%26 Oct →
ancient8–130.0024%24 Oct →
dust211–130.0327%18 Oct →
train10–13-0.0230%10 Oct →
dust24–13-0.0227%7 Oct →
train16–130.1124%5 Oct →
train11–13-0.0130%1 Oct →
nuke13–90.0425%19 Sept →
dust213–90.0128%19 Sept →
ancient14–16-0.0322%19 Sept →
train13–60.0224%23 Aug →
inferno10–13-0.0323%31 Jul →
dust213–90.0836%30 Jul →
ancient8–130.0325%9 Jul →
mirage13–70.0325%9 Jul →
ancient8–130.0216%4 Jul →
mirage13–100.0317%4 Jul →
dust213–80.0136%24 Jun →
dust213–80.1624%23 Jun →
inferno13–20.0414%21 Jun →
dust29–13-0.0330%21 Jun →
dust210–130.0218%18 Jun →
ancient13–8-0.0424%18 Jun →
inferno16–140.0032%11 Jun →
dust210–13-0.0223%11 Jun →
ancient13–70.0113%11 Jun →
mirage6–130.0028%10 Jun →
dust29–13-0.0515%10 Jun →
train13–50.0536%9 Jun →
ancient13–11-0.0528%9 Jun →
mirage13–80.0225%8 Jun →
mirage14–16-0.0124%5 Jun →
dust213–10-0.0341%5 Jun →
ancient13–80.0124%3 Jun →
dust210–130.0029%24 May →
dust213–30.0416%24 May →
anubis13–16-0.0116%22 May →
dust213–8-0.0124%22 May →
dust213–5-0.0124%20 May →
dust213–100.0118%20 May →
anubis13–30.0719%18 May →
ancient9–13-0.0118%16 May →
inferno10–13-0.0616%16 May →
anubis13–8-0.0331%16 May →
ancient8–130.0425%15 May →
ancient13–16-0.0524%15 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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