LabTec

LabTec — CS2 Stats

SI76561198044760223[U:1:84494495]Steam profile ↗✓ No bans

630Tracked matches57%Win rate2023Tracked since
1,724Hours in CS
CSDB Rating6.1 SolidSupport
Premier CS Rating21,795Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#59699 of 261595 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Sep 2026 (50 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 630 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,795 +1,233 26 Jul – 25 Sept · 13 days played
20,56222,546peak 22,54626 Jul25 Sept
22,546Peak Premier in tracked matches
46Days played since 2026-05-17

Premier CS Rating

  • 751 below peak (22,546)
  • -751 over 30 days · declining
  • Next: Red band at 25,000 — 3,205 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,595), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate51.5%45.7%46.8%above
Shot accuracy20.4%12.7%13.0%above
Kill/death ratio0.991.051.060.07 short
Match win rate46.9%45.7%46.3%meets

This profile matches the typical Level 8 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLabTecFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER21,795 · Pink bandcsdb.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

Aim76
Positioning48
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY59–39–2Last 10059%Win rateLWWWLWTLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · +2.2pp headshot accuracy · −65ms reaction

Win rate down 20pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 496ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 508ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 540ms

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 (+2.1 against its own average).

Aim7.6
Utility5.9
Positioning4.8
Opening Duels1.8
Clutch2.6

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

NiKo

Plays most like NiKo 88% 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 →

CSDB Rating breakdown

Aim7.6
Positioning4.8
Utility5.9
Mechanics6.7
Opening Duels1.4
Win Impact7.4

Composite 6.1/10 (Solid), 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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time551ms−76ms
first ⅓ avg 627ms → last ⅓ avg 551ms
Headshot accuracy12.8%−1.6%
first ⅓ avg 14.4% → last ⅓ avg 12.8%

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

0.27Best match rating · 9–0 · inferno, 26 Aug →
33%Best headshot accuracy · 13–11 · dust2, 24 May →
391msFastest reaction time · 6–13 · ancient, 5 Jul →
13–1Biggest win · dust2, 5 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
11–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 80% over 5ancientWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB2613–1350%-0.01
infernoS1813–572%-0.01
dust2S1812–667%-0.00
ancientC125–742%-0.02
anubisA127–558%-0.01
nukeS75–271%0.00
cacheS54–180%0.03
overpass—20–20%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

113,855Lifetime kills
0.99K/D
3,156Matches
46.9%Match win rate · Top 50% of Level 7 players
51.5%Headshot % · Top 25% of Level 7 players
20.4%Shot accuracy · Top 5% of Level 7 players
7,490MVPs
1,724Hours (in match)
2,926Bombs planted
763Bombs defused

Most-used weapons

Lifetime map wins

7,558dust2
7,264inferno
2,414nuke
1,037cbble
811train
683vertigo
97aztec
67dust

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

Faceit stats

Combat

316Matches
51%Win rate
0.98Avg K/D
80.6ADR
39%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5342%0.9714.3
Dust25159%1.0615.3
Ancient4844%1.0016.1
Inferno4562%0.9814.2
Anubis2560%0.9214.9
Cache1450%1.1016.1
Nuke1338%1.0616.1
Overpass944%0.9215.0

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.

12.8%Headshot accuracy
40.9%Accuracy (enemy spotted)
39.4%Spray accuracy
80.3%Counter-strafing
10.1°Preaim
549msReaction time
30.8%T opening success
40.1%CT opening success
0.56Enemies flashed / flash
10.0%Flash assists
10.40HE damage / grenade
5.02Flashes / 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 12.7899% — 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 30.8227% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient11–130.0212%9 Sept →
mirage13–100.0212%1 Sept →
ancient16–13-0.057%1 Sept →
inferno13–11-0.0415%1 Sept →
inferno5–13-0.0415%31 Aug →
nuke13–6-0.0117%31 Aug →
dust215–15-0.0317%30 Aug →
anubis10–130.0222%30 Aug →
dust26–13-0.0520%29 Aug →
mirage6–13-0.0519%29 Aug →
anubis15–15-0.018%28 Aug →
mirage11–13-0.018%28 Aug →
cache16–120.0513%27 Aug →
inferno16–14-0.0112%27 Aug →
mirage16–14-0.0416%26 Aug →
mirage11–13-0.0215%26 Aug →
inferno9–00.2718%26 Aug →
mirage13–9-0.0117%25 Aug →
cache6–130.0014%24 Aug →
mirage13–11-0.0012%24 Aug →
mirage11–13-0.027%24 Aug →
ancient4–13-0.094%24 Aug →
dust213–100.0214%23 Aug →
anubis13–11-0.0313%22 Aug →
anubis13–8-0.017%8 Aug →
dust219–150.039%8 Aug →
anubis13–10-0.0114%8 Aug →
nuke13–11-0.0010%7 Aug →
mirage14–160.0016%6 Aug →
inferno8–13-0.049%6 Aug →
mirage13–40.0512%6 Aug →
mirage9–13-0.057%5 Aug →
anubis13–90.0211%5 Aug →
dust213–10.0814%5 Aug →
mirage13–5-0.026%2 Aug →
anubis5–13-0.076%2 Aug →
mirage10–13-0.0310%1 Aug →
anubis7–13-0.066%31 Jul →
mirage13–9-0.0818%31 Jul →
ancient9–130.0222%31 Jul →
dust27–13-0.0418%29 Jul →
inferno10–13-0.073%29 Jul →
inferno13–11-0.0426%28 Jul →
mirage13–100.029%28 Jul →
mirage10–130.0318%26 Jul →
inferno7–13-0.0120%26 Jul →
anubis13–40.0711%26 Jul →
dust213–60.1028%26 Jul →
mirage13–8-0.0417%26 Jul →
dust29–10.0322%26 Jul →
dust211–13-0.0422%25 Jul →
nuke7–13-0.0228%25 Jul →
cache13–100.0219%20 Jul →
nuke13–6-0.0212%20 Jul →
dust26–13-0.0429%20 Jul →
inferno13–10-0.0121%18 Jul →
ancient13–100.0010%16 Jul →
mirage13–40.0427%16 Jul →
anubis13–5-0.0222%16 Jul →
mirage14–160.0317%15 Jul →
nuke13–50.0226%15 Jul →
dust213–1-0.0429%14 Jul →
inferno13–11-0.0821%14 Jul →
mirage10–13-0.0519%14 Jul →
mirage6–13-0.0914%13 Jul →
dust213–9-0.0218%13 Jul →
inferno13–10-0.0411%11 Jul →
inferno19–160.0211%11 Jul →
dust213–9-0.056%11 Jul →
inferno13–60.0220%10 Jul →
anubis13–9-0.048%10 Jul →
cache13–70.0116%10 Jul →
inferno13–6-0.0519%10 Jul →
mirage11–130.0112%10 Jul →
dust213–11-0.069%10 Jul →
anubis7–130.0012%9 Jul →
inferno13–10-0.0110%7 Jul →
mirage11–130.058%5 Jul →
overpass7–13-0.0119%5 Jul →
ancient6–13-0.0416%5 Jul →
dust213–50.0619%4 Jul →
ancient13–10-0.015%4 Jul →
inferno9–13-0.027%3 Jul →
mirage16–13-0.0118%3 Jul →
ancient4–13-0.0916%1 Jul →
inferno13–20.0220%28 Jun →
inferno13–9-0.0415%28 Jun →
mirage13–20.0111%28 Jun →
ancient13–3-0.0414%26 Jun →
nuke13–110.0514%26 Jun →
ancient10–13-0.0210%25 Jun →
ancient6–13-0.008%30 May →
nuke7–13-0.0128%27 May →
cache13–80.0919%27 May →
overpass9–130.0412%26 May →
dust25–13-0.058%25 May →
dust213–11-0.0433%24 May →
ancient13–60.069%24 May →
dust213–30.0731%24 May →
mirage13–9-0.0810%17 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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