Tecla

Tecla — CS2 Stats

76561197962048762[U:1:1783034]Steam profile ↗✓ No bans

5,786Tracked matches31%Win rate2020Tracked since
CSDB Rating5.3 DevelopingSupport
Premier CS Rating16,623Purple band · top ~21.9% of ranked players (population est.)
FaceitLevel 6 · 1,471 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

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

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 35 days played since 8 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,623 -5,945 8 Aug17 Sept · 34 days played
15,81123,111peak 23,1118 Aug17 Sept
Faceit ELO: 1,471 +0 1 Sept7 Sept · 4 observations
1,4711,471peak 1,4711 Sept7 Sept
23,452Peak Premier in tracked matches
1,471Highest Faceit ELO seen on CSDB
35Days played since 2026-08-08

Faceit ELO

  • At peak — 1,471
  • Next: Level 8 at 1,531 60 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-01
  • Level 6 first seen 2026-09-01

Premier CS Rating

  • 6,488 below peak (23,111)
  • -4,913 over 30 days · declining
  • Next: Pink band at 20,000 3,377 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

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.

Share this profile

CSDB.GGTeclaFACEITLevel 6 · 1,471 ELOSTANDINGTop 54.0% of rankedPREMIER16,623 · Purple bandPEAK ELO1,471csdb.gg/stats

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Performance scores

Aim61
Positioning58
Utility71

0–100 skill scores via Leetify.

Recent form

COLD37612Last 10037%Win rateWLWLLLLTLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −0.3pp headshot accuracy · +9ms 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

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 548ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 582ms

Last 20

  • 5141 · 25% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 578ms

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: SupportUtility contribution stands above the rest of this profile (+1.8 against its own average).

Aim6.1
Utility7.1
Positioning5.8
Opening Duels4.0
Clutch4.4

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 76% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

Reaction time. 578ms 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

Aim6.1
Positioning5.8
Utility7.1
Mechanics5.6
Opening Duels4.4
Win Impact0.0

Composite 5.3/10 (Developing), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time594ms−1ms
first ⅓ avg 595ms → last ⅓ avg 594ms
Headshot accuracy11.4%−0.1%
first ⅓ avg 11.5% → last ⅓ avg 11.4%

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

0.08Best match rating · 13–4 · dust2, 30 Aug
23%Best headshot accuracy · 1–13 · inferno, 8 Sept
391msFastest reaction time · 11–13 · inferno, 18 Aug
13–2Biggest win · inferno, 13 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
66In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 42% over 31mirageWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoC31131842%-0.02
ancientC2291341%-0.01
dust2C2291341%-0.01
anubisD103730%-0.02
nukeD51420%-0.03
mirageD5050%-0.02
cacheC52340%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,389Matches
50%Win rate
0.98Avg K/D
75.8ADR
28%Headshot %

Clutches & streaks

42%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno24460%1.0315.3
Dust223142%0.9614.1
Anubis21443%0.9014.1
Ancient19746%0.8914.2
Mirage11551%1.0415.2
Nuke5558%1.1615.6
Vertigo4452%0.9315.3
Overpass4255%0.9414.7

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.

11.9%Headshot accuracy
39.4%Accuracy (enemy spotted)
38.3%Spray accuracy
75.0%Counter-strafing
11.7°Preaim
578msReaction time
42.1%T opening success
53.2%CT opening success
0.56Enemies flashed / flash
6.6%Flash assists
11.58HE damage / grenade
13.75Flashes / 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 11.8518% — below the 15% mark we flag

    Aim Training
Spend your practice time on Mirage

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

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0612%17 Sept
nuke1–13-0.035%14 Sept
inferno13–7-0.0121%14 Sept
mirage13–160.0215%12 Sept
ancient8–13-0.0311%11 Sept
dust217–19-0.0317%11 Sept
dust29–13-0.0612%11 Sept
ancient15–150.0410%11 Sept
cache7–13-0.017%10 Sept
inferno13–100.0414%10 Sept
inferno13–160.0210%10 Sept
inferno13–160.0110%8 Sept
inferno1–130.0023%8 Sept
nuke2–13-0.087%7 Sept
anubis10–13-0.0412%7 Sept
inferno13–80.038%7 Sept
dust213–70.0219%7 Sept
ancient7–13-0.028%7 Sept
inferno4–13-0.0912%6 Sept
ancient9–130.0420%6 Sept
anubis4–13-0.017%5 Sept
mirage6–13-0.0610%5 Sept
inferno4–13-0.0313%4 Sept
inferno13–11-0.003%3 Sept
inferno11–130.029%3 Sept
ancient13–50.0011%2 Sept
dust24–130.0310%2 Sept
ancient16–140.0116%1 Sept
inferno7–13-0.079%1 Sept
ancient13–9-0.0310%31 Aug
inferno13–10-0.063%31 Aug
dust213–10-0.078%30 Aug
ancient7–13-0.0714%30 Aug
dust213–40.082%30 Aug
inferno9–13-0.0710%28 Aug
inferno13–10-0.069%28 Aug
anubis12–16-0.0411%28 Aug
dust29–13-0.058%28 Aug
ancient1–130.008%27 Aug
ancient7–13-0.0613%27 Aug
ancient13–80.0110%26 Aug
inferno9–130.0013%26 Aug
anubis13–9-0.018%26 Aug
inferno11–13-0.0611%25 Aug
inferno13–16-0.0214%25 Aug
dust210–13-0.029%25 Aug
cache13–11-0.009%25 Aug
dust213–30.058%24 Aug
inferno13–90.035%24 Aug
dust24–13-0.0218%23 Aug
inferno7–13-0.007%23 Aug
dust216–190.0010%23 Aug
ancient8–130.018%22 Aug
dust210–130.0313%21 Aug
dust213–70.078%21 Aug
dust22–13-0.079%21 Aug
anubis13–4-0.033%21 Aug
anubis10–13-0.0217%21 Aug
ancient13–90.0313%21 Aug
anubis4–13-0.087%20 Aug
nuke5–13-0.048%19 Aug
ancient13–5-0.0215%19 Aug
dust24–13-0.046%19 Aug
ancient14–16-0.059%18 Aug
inferno9–13-0.058%18 Aug
inferno11–130.0116%18 Aug
inferno13–9-0.004%18 Aug
nuke13–110.038%17 Aug
dust213–8-0.0718%17 Aug
anubis13–10-0.007%17 Aug
mirage4–13-0.0515%17 Aug
inferno13–8-0.0115%17 Aug
ancient11–13-0.0618%16 Aug
dust213–40.0120%14 Aug
dust26–13-0.029%14 Aug
ancient0–13-0.070%14 Aug
inferno13–11-0.039%14 Aug
ancient13–60.0516%13 Aug
inferno10–13-0.038%13 Aug
ancient6–13-0.007%13 Aug
inferno13–2-0.0111%13 Aug
mirage5–13-0.0314%13 Aug
cache13–6-0.043%12 Aug
inferno5–13-0.0415%12 Aug
inferno9–13-0.016%12 Aug
ancient7–130.0210%12 Aug
ancient13–9-0.0119%12 Aug
anubis4–130.0318%12 Aug
cache10–13-0.048%11 Aug
dust215–15-0.0615%11 Aug
dust213–3-0.0112%11 Aug
inferno5–13-0.029%11 Aug
inferno13–90.0314%10 Aug
nuke9–13-0.036%10 Aug
dust24–13-0.0310%10 Aug
anubis7–13-0.027%9 Aug
dust213–60.0612%9 Aug
cache5–13-0.0415%9 Aug
ancient16–12-0.0119%9 Aug
mirage10–13-0.019%8 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 →