tere lapio

tere lapio — CS2 Stats

76561199121755746[U:1:1161490018]Steam profile ↗✓ No bans

411Tracked matches45%Win rate2021Tracked since
525Hours in CS7Hrs last 2 wks
CSDB Rating4.1 DevelopingSupport
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (29 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 874 → 874
+3Tracked matches · now 411
−3.5ppWin rate · 48.3% → 44.8%

Rating over time

Premier CS Rating: 11,590 +509 11 Apr – 28 Jun · 26 days played
10,01811,590peak 11,59011 Apr28 Jun
Faceit ELO: 874 +0 29 Aug – 13 Sept · 5 observations
874874peak 87429 Aug13 Sept
11,639Peak Premier in tracked matches
874Highest Faceit ELO seen on CSDB
39Days played since 2026-04-11

Faceit ELO

  • At peak — 874
  • Next: Level 4 at 901 — 27 to go
  • Reached: Level 3 · Level 2
  • Level 3 first seen 2026-08-29
  • Level 2 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches10——
Win rate30%——
K/D0.58——
Headshot %34%——

Measured 13 Sep 2026 → 12 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGtere lapioPEAK ELO874csdb.gg/stats

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Performance scores

Aim58
Positioning32
Utility47

0–100 skill scores via Leetify.

Recent form

COLD48–45–7Last 10048%Win rateLLLLLLWLWL

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +1.6pp headshot accuracy · +82ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 11%
  • Avg reaction 694ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 645ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 604ms

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 (+1.9 against its own average).

Aim5.8
Utility4.7
Positioning3.2
Opening Duels0.0
Clutch3.2

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 92% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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

T-side openings. Opening success drops from 38% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 626ms 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
Positioning3.2
Utility4.7
Mechanics7.2
Opening Duels1.0
Win Impact3.3

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time633ms−53ms
first ⅓ avg 686ms → last ⅓ avg 633ms
Headshot accuracy13.5%−2.0%
first ⅓ avg 15.6% → last ⅓ avg 13.5%

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

0.24Best match rating · 9–4 · overpass, 28 Jun →
30%Best headshot accuracy · 13–4 · cache, 31 Aug →
438msFastest reaction time · 13–4 · inferno, 17 Aug →
13–0Biggest win · mirage, 19 May →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L6Current streak
10–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 67% over 9ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageC3113–1842%-0.02
nukeC198–1142%-0.02
cacheA1610–663%-0.03
infernoB157–847%-0.04
overpassS96–367%0.01
ancientD72–529%-0.02
dust2—11–0100%-0.06
poseidon—10–10%-0.01
anubis—11–0100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,075Lifetime kills
0.71K/D
843Matches
42.9%Match win rate
41.5%Headshot %
7.1%Shot accuracy
3,475MVPs
326Hours (in match)
864Bombs planted
645Bombs defused

Most-used weapons

Lifetime map wins

1,161nuke
913inferno
480dust2
465train
90vertigo
22office
3ar_shoots
1cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

55Matches
58%Win rate
0.73Avg K/D
60.4ADR
34%Headshot %

Clutches & streaks

36%1v1 clutch win
13%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2060%0.8311.8
Nuke1242%0.7411.2
Overpass1182%0.6410.9
Train560%0.6310.6
Anubis250%0.8013.5
Inferno20%0.325.0
Ancient250%0.9314.5
Cache1100%0.408.0

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.

12.9%Headshot accuracy
31.8%Accuracy (enemy spotted)
39.4%Spray accuracy
82.3%Counter-strafing
10.1°Preaim
626msReaction time
19.6%T opening success
38.0%CT opening success
0.51Enemies flashed / flash
1.8%Flash assists
7.65HE damage / grenade
5.53Flashes / 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 12.9004% — below the 15% mark we flag

    Aim Training →
  2. 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 19.6269% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.039%8 Oct →
nuke8–13-0.015%30 Sept →
cache10–13-0.0813%30 Sept →
mirage5–13-0.0718%4 Sept →
mirage11–13-0.0710%2 Sept →
inferno1–13-0.1122%31 Aug →
nuke13–11-0.0413%31 Aug →
ancient14–16-0.0115%31 Aug →
cache13–40.0230%31 Aug →
cache0–9-0.0613%28 Aug →
cache13–30.0630%28 Aug →
ancient6–13-0.0619%17 Aug →
inferno13–4-0.040%17 Aug →
mirage5–13-0.0315%15 Aug →
nuke13–8-0.0115%15 Aug →
inferno10–13-0.052%15 Aug →
mirage13–8-0.0110%15 Aug →
nuke4–13-0.0818%15 Aug →
cache13–10-0.0514%14 Aug →
ancient13–50.007%14 Aug →
mirage5–13-0.0222%29 Jun →
overpass13–10-0.087%29 Jun →
nuke6–13-0.0113%29 Jun →
overpass9–40.2421%28 Jun →
mirage16–12-0.0418%28 Jun →
mirage10–13-0.045%28 Jun →
overpass15–15-0.058%25 Jun →
mirage7–13-0.0526%25 Jun →
mirage13–11-0.029%23 Jun →
nuke13–50.0310%23 Jun →
mirage13–40.015%23 Jun →
mirage9–13-0.038%15 Jun →
nuke13–8-0.0417%15 Jun →
nuke5–11-0.0122%14 Jun →
mirage13–100.065%14 Jun →
ancient8–13-0.038%9 Jun →
inferno7–13-0.0810%9 Jun →
mirage7–13-0.0310%6 Jun →
nuke13–4-0.0118%6 Jun →
overpass4–13-0.070%6 Jun →
mirage13–8-0.0026%6 Jun →
mirage13–11-0.0818%5 Jun →
mirage13–11-0.0212%5 Jun →
nuke6–13-0.0022%5 Jun →
inferno7–13-0.0610%3 Jun →
dust213–3-0.0618%3 Jun →
cache13–5-0.0119%31 May →
mirage7–13-0.0418%26 May →
cache13–11-0.0410%26 May →
mirage9–13-0.0511%19 May →
inferno13–8-0.0415%19 May →
overpass13–100.0011%19 May →
mirage13–00.1413%19 May →
nuke11–13-0.0213%19 May →
nuke11–13-0.0710%18 May →
mirage9–13-0.0411%18 May →
inferno13–5-0.0612%18 May →
inferno9–20.1121%18 May →
poseidon8–8-0.0118%18 May →
nuke8–80.0117%18 May →
inferno4–13-0.0913%11 May →
cache9–13-0.0411%11 May →
mirage13–8-0.0412%9 May →
cache13–11-0.0726%9 May →
mirage8–13-0.0816%7 May →
inferno8–8-0.0417%7 May →
nuke13–9-0.0410%7 May →
inferno13–100.0212%7 May →
inferno13–80.0411%7 May →
nuke4–13-0.0919%7 May →
cache13–4-0.0314%7 May →
inferno11–13-0.0529%4 May →
nuke10–13-0.0516%4 May →
cache8–13-0.084%4 May →
mirage7–130.015%3 May →
cache13–9-0.0518%1 May →
cache13–11-0.0127%29 Apr →
cache12–12-0.0324%29 Apr →
cache13–3-0.0416%29 Apr →
cache12–120.0310%29 Apr →
mirage7–13-0.0127%27 Apr →
overpass13–8-0.0113%27 Apr →
mirage16–14-0.0111%26 Apr →
ancient7–13-0.048%25 Apr →
mirage10–13-0.0614%25 Apr →
ancient13–9-0.029%25 Apr →
mirage13–9-0.0130%25 Apr →
nuke13–6-0.0014%24 Apr →
nuke8–8-0.0124%24 Apr →
inferno9–5-0.0516%24 Apr →
overpass9–50.0827%24 Apr →
nuke9–5-0.0318%24 Apr →
ancient11–130.0521%23 Apr →
mirage13–5-0.106%22 Apr →
mirage14–16-0.0516%19 Apr →
overpass14–16-0.049%19 Apr →
anubis13–11-0.0412%18 Apr →
mirage11–130.0813%18 Apr →
overpass13–11-0.0310%11 Apr →
mirage8–13-0.0210%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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