tepo

tepo — CS2 Stats

76561199183724666[U:1:1223458938]Steam profile ↗✓ No bans

1,537Tracked matches44%Win rate2024Tracked since
2,057Hours in CS7Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating21,047Top 50% of 215,386 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#70103 of 261550 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

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

Rating over time

Premier CS Rating: 21,047 +1,793 5 Jul – 1 Nov · 25 days played
19,25425,163peak 25,1635 Jul1 Nov
25,163Peak Premier in tracked matches
49Days played since 2026-07-05

Premier CS Rating

  • 4,116 below peak (25,163)
  • -1,054 over 30 days · declining
  • -4,059 over 90 days
  • Next: Red band at 25,000 — 3,953 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-10
  • Purple band first seen 2026-09-10

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate36.2%42.7%43.8%7.6% short
Shot accuracy0.0%11.2%12.0%12.0% short
Kill/death ratio1.030.991.02meets
Match win rate45.6%43.9%44.7%above

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGtepoFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER21,047 · 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
Positioning56
Utility49

0–100 skill scores via Leetify.

Recent form

COLD49–44–7Last 10049%Win rateWLLLLWLLLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −2.5pp headshot accuracy · +45ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 531ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 560ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 537ms

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 (+1.5 against its own average).

Aim7.6
Utility4.9
Positioning5.6
Opening Duels2.0
Clutch4.0

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

iM

Plays most like iM 96% 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 →

CSDB Rating breakdown

Aim7.6
Positioning5.6
Utility4.9
Mechanics6.1
Opening Duels3.7
Win Impact3.1

Composite 5.8/10 (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 rating0.02+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time542ms+28ms
first ⅓ avg 515ms → last ⅓ avg 542ms
Headshot accuracy16.2%+0.4%
first ⅓ avg 15.8% → last ⅓ avg 16.2%

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 · 13–3 · dust2, 12 Oct →
35%Best headshot accuracy · 8–13 · nuke, 26 Jul →
289msFastest reaction time · 8–13 · nuke, 26 Jul →
13–1Biggest win · mirage, 25 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–4In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 64% over 14cacheWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB2814–1450%0.01
dust2C2310–1343%-0.01
infernoA149–564%0.04
ancientB126–650%-0.01
cacheC104–640%-0.01
anubisA95–456%0.02
nuke—30–30%0.07
train—11–0100%0.08

Across the last 100 tracked matches.

Lifetime stats

34,041Lifetime kills
1.03K/D · Top 50% of Level 4 players
2,078Matches
45.6%Match win rate · Top 50% of Level 4 players
36.2%Headshot %
0.0%Shot accuracy
4,569MVPs
761Hours (in match)
1,409Bombs planted
434Bombs defused

Most-used weapons

Lifetime map wins

4,741dust2
2,919inferno
1,692nuke
263vertigo
244train
42office
29italy
2ar_shoots

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

Faceit stats

Combat

141Matches
48%Win rate
1.15Avg K/D
80.8ADR
36%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4951%1.1415.7
Dust22450%1.0816.7
Anubis2241%1.1115.4
Inferno1953%1.4617.7
Ancient1656%1.0915.8
Nuke617%0.9616.5
Cache30%0.8513.0
Vertigo2100%1.4219.0

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.

16.2%Headshot accuracy
37.5%Accuracy (enemy spotted)
40.7%Spray accuracy
77.4%Counter-strafing
9.8°Preaim
539msReaction time
50.6%T opening success
39.4%CT opening success
0.50Enemies flashed / flash
2.7%Flash assists
8.11HE damage / grenade
15.08Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.4193% — below the 40% mark we flag

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno13–100.0313%9 Nov →
dust24–13-0.0611%4 Nov →
mirage14–160.0920%1 Nov →
dust25–13-0.0726%1 Nov →
nuke8–130.1131%31 Oct →
mirage13–50.1011%28 Oct →
ancient2–13-0.109%28 Oct →
mirage2–13-0.0319%28 Oct →
dust29–13-0.117%26 Oct →
cache4–13-0.0213%26 Oct →
nuke12–120.0417%22 Oct →
cache13–80.0030%21 Oct →
cache4–13-0.0311%21 Oct →
mirage12–120.0214%20 Oct →
dust213–110.0415%20 Oct →
dust216–12-0.0515%18 Oct →
mirage12–120.1023%12 Oct →
dust213–30.1925%12 Oct →
mirage13–110.0113%11 Oct →
anubis7–130.0124%10 Oct →
inferno12–16-0.0216%9 Oct →
dust213–70.0426%8 Oct →
cache13–9-0.063%8 Oct →
ancient13–40.1718%1 Oct →
dust213–100.1214%26 Sept →
mirage16–12-0.0218%10 Sept →
dust24–130.0212%10 Sept →
dust210–13-0.019%7 Sept →
ancient5–13-0.048%5 Sept →
mirage5–13-0.0418%5 Sept →
anubis13–80.0012%4 Sept →
mirage13–80.1123%28 Aug →
mirage15–150.0210%25 Aug →
mirage13–7-0.0416%25 Aug →
inferno14–160.039%23 Aug →
mirage3–130.035%23 Aug →
mirage13–160.0125%23 Aug →
mirage2–13-0.0130%22 Aug →
dust213–7-0.046%22 Aug →
anubis13–110.0620%21 Aug →
ancient13–50.0422%21 Aug →
inferno3–13-0.0824%21 Aug →
dust213–6-0.0815%17 Aug →
inferno13–100.0310%16 Aug →
inferno13–30.0710%16 Aug →
inferno13–80.1614%16 Aug →
inferno13–30.1316%15 Aug →
train13–100.0811%15 Aug →
cache9–13-0.0217%13 Aug →
dust22–13-0.0115%13 Aug →
anubis13–50.1811%11 Aug →
dust213–80.0514%11 Aug →
mirage13–11-0.0315%10 Aug →
dust23–13-0.065%10 Aug →
dust24–13-0.033%10 Aug →
anubis7–13-0.0615%10 Aug →
dust212–16-0.0217%10 Aug →
ancient13–60.039%10 Aug →
inferno13–100.0529%9 Aug →
mirage5–4-0.008%9 Aug →
ancient13–60.037%9 Aug →
mirage7–13-0.0126%9 Aug →
dust20–4-0.070%9 Aug →
inferno11–130.0128%9 Aug →
inferno13–60.027%9 Aug →
mirage1–13-0.0110%9 Aug →
ancient3–13-0.049%9 Aug →
cache11–130.0713%8 Aug →
mirage4–13-0.0614%8 Aug →
ancient7–13-0.0911%8 Aug →
inferno13–110.0313%7 Aug →
dust20–13-0.0910%7 Aug →
cache8–13-0.0411%7 Aug →
dust27–13-0.0413%7 Aug →
ancient13–16-0.0218%5 Aug →
inferno5–13-0.0120%5 Aug →
cache15–150.0116%4 Aug →
mirage13–8-0.035%3 Aug →
ancient13–8-0.0315%3 Aug →
anubis10–130.0419%31 Jul →
mirage13–90.0113%27 Jul →
nuke8–130.0635%26 Jul →
ancient13–80.0218%26 Jul →
mirage13–100.1414%26 Jul →
dust215–150.0224%26 Jul →
cache13–9-0.0311%25 Jul →
mirage13–10.000%25 Jul →
anubis13–8-0.0214%24 Jul →
cache13–5-0.0117%24 Jul →
dust213–70.0317%23 Jul →
mirage6–13-0.0825%23 Jul →
mirage13–8-0.0213%22 Jul →
ancient9–13-0.0415%17 Jul →
mirage16–140.0029%16 Jul →
anubis9–13-0.0215%6 Jul →
anubis16–14-0.0315%6 Jul →
inferno13–50.0512%6 Jul →
mirage13–80.0421%6 Jul →
dust213–9-0.0411%5 Jul →
mirage15–150.0323%5 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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