Tjepper

Tjepper — CS2 Stats

DK76561198120097020[U:1:159831292]Steam profile ↗✓ No bans

1,704Tracked matches47%Win rate2020Tracked since
5,272Hours in CS27Hrs last 2 wks
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating7,960Light Blue band · top ~64.6% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Oct 2026 (5 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: 7,960 -11 16 Jul – 30 Oct · 30 days played
7,33211,247peak 11,24716 Jul30 Oct
11,522Peak Premier in tracked matches
37Days played since 2026-07-16

Premier CS Rating

  • 3,287 below peak (11,247)
  • +200 over 30 days · steady
  • -2,648 over 90 days
  • Next: Blue band at 10,000 — 2,040 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-08-29

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate30.8%43.8%44.8%14.0% short
Shot accuracy17.5%12.0%12.4%above
Kill/death ratio0.991.021.030.05 short
Match win rate37.9%44.7%45.2%7.3% short

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTjepperFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER7,960 · Light Blue 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

Aim57
Positioning59
Utility58

0–100 skill scores via Leetify.

Recent form

HOT44–53–3Last 10044%Win rateWWWLWLWWWW

Last 10 vs previous 10: +70pp win rate · +0.04 avg rating · −2.3pp headshot accuracy · +34ms reaction

Win rate up 70pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 13%
  • Avg reaction 603ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 626ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 609ms

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 against its own average).

Aim5.7
Utility5.8
Positioning5.9
Opening Duels4.9
Clutch3.2

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

m0NESY

Plays most like m0NESY 77% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 641ms 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

Aim5.7
Positioning5.9
Utility5.8
Mechanics4.7
Opening Duels4.8
Win Impact3.9

Composite 4.8/10 (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 rating0.02+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time629ms−46ms
first ⅓ avg 674ms → last ⅓ avg 629ms
Headshot accuracy14.7%−1.2%
first ⅓ avg 15.9% → last ⅓ avg 14.7%

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 · 13–6 · anubis, 24 Jul →
31%Best headshot accuracy · 5–13 · nuke, 20 Jul →
453msFastest reaction time · 13–5 · nuke, 3 Aug →
13–0Biggest win · ancient, 30 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
6–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 61% over 28cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2817–1161%0.02
nukeB2311–1248%-0.00
ancientC177–1041%0.02
anubisC156–940%-0.00
cacheD71–614%-0.03
mirageD62–433%0.00
dust2—40–40%0.03

Across the last 100 tracked matches.

Lifetime stats

141,098Lifetime kills
0.99K/D
8,450Matches
37.9%Match win rate
30.8%Headshot %
17.5%Shot accuracy · Top 25% of Level 5 players
14,196MVPs
2,670Hours (in match)
8,971Bombs planted
1,158Bombs defused

Most-used weapons

AK-4721,912
AWP19,284
MAC-105,785
P905,153
SG 5535,092
P2503,452

Lifetime map wins

13,015inferno
9,627dust2
9,065nuke
1,580train
1,440vertigo
780cbble
261safehouse
214lake

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

Faceit stats

Combat

91Matches
54%Win rate
1.00Avg K/D
77.3ADR
32%Headshot %

Clutches & streaks

36%1v1 clutch win
28%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Nuke1250%1.1017.5
Inferno1173%1.1414.8
Ancient956%1.1417.0
Cache475%0.8616.5
Anubis2100%1.0514.5
Mirage250%1.2716.5
Dust210%0.6312.0

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.

15.3%Headshot accuracy
37.5%Accuracy (enemy spotted)
40.3%Spray accuracy
71.2%Counter-strafing
11.3°Preaim
641msReaction time
47.2%T opening success
51.5%CT opening success
0.46Enemies flashed / flash
7.9%Flash assists
13.97HE damage / grenade
7.53Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4576 — below the 0.5 mark we flag

    Grenade Lineups →
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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–70.0014%3 Nov →
inferno9–60.0012%1 Nov →
inferno13–90.127%30 Oct →
dust28–130.0316%30 Oct →
inferno13–80.1317%29 Oct →
cache7–130.086%29 Oct →
nuke16–120.0815%29 Oct →
inferno13–110.0119%28 Oct →
mirage13–2-0.0510%28 Oct →
inferno13–110.0217%26 Oct →
nuke3–9-0.1511%26 Oct →
nuke0–9-0.225%26 Oct →
dust210–130.0715%19 Oct →
nuke13–50.138%19 Oct →
dust214–160.0621%19 Oct →
anubis2–13-0.0519%19 Oct →
ancient8–130.0915%12 Oct →
mirage1–13-0.0718%4 Oct →
inferno3–130.0227%21 Sept →
inferno4–130.1117%17 Sept →
anubis7–13-0.0220%13 Sept →
ancient9–130.0212%5 Sept →
anubis13–80.0213%5 Sept →
nuke4–13-0.0813%5 Sept →
nuke13–9-0.0417%5 Sept →
anubis13–50.0118%3 Sept →
nuke9–130.0816%2 Sept →
inferno11–130.0921%2 Sept →
cache13–11-0.0211%31 Aug →
nuke10–13-0.0021%30 Aug →
anubis13–110.029%30 Aug →
nuke13–30.0810%30 Aug →
cache5–13-0.0017%30 Aug →
inferno9–13-0.0127%30 Aug →
ancient13–00.1218%30 Aug →
inferno8–130.0418%29 Aug →
ancient13–8-0.0121%29 Aug →
anubis3–13-0.0523%29 Aug →
ancient11–13-0.0419%29 Aug →
nuke19–16-0.0418%26 Aug →
nuke6–13-0.0323%23 Aug →
inferno13–4-0.0822%23 Aug →
ancient5–13-0.0423%23 Aug →
nuke9–130.0216%20 Aug →
anubis10–130.0223%20 Aug →
inferno4–130.0415%20 Aug →
dust212–12-0.0522%19 Aug →
inferno11–13-0.0216%19 Aug →
mirage12–120.0515%18 Aug →
ancient7–130.0223%18 Aug →
inferno13–5-0.016%17 Aug →
inferno13–90.0717%17 Aug →
inferno13–50.018%5 Aug →
mirage6–130.0218%5 Aug →
inferno5–13-0.0221%5 Aug →
anubis9–13-0.0317%4 Aug →
inferno13–110.0218%4 Aug →
cache10–13-0.0627%4 Aug →
inferno7–13-0.0416%4 Aug →
anubis14–160.0324%3 Aug →
inferno13–20.0125%3 Aug →
nuke13–50.0010%3 Aug →
ancient13–9-0.0116%2 Aug →
inferno6–130.0314%2 Aug →
nuke13–9-0.0127%2 Aug →
anubis10–13-0.0113%29 Jul →
cache7–13-0.0520%29 Jul →
inferno10–13-0.088%27 Jul →
nuke13–6-0.0222%27 Jul →
anubis13–10-0.0520%27 Jul →
nuke8–13-0.0414%27 Jul →
anubis13–3-0.090%26 Jul →
inferno13–11-0.008%26 Jul →
nuke13–10-0.029%26 Jul →
anubis13–60.1918%24 Jul →
ancient13–9-0.0417%24 Jul →
nuke8–13-0.055%24 Jul →
ancient11–13-0.0218%24 Jul →
inferno13–60.0115%24 Jul →
ancient13–9-0.0114%24 Jul →
inferno13–60.0116%24 Jul →
nuke10–130.0615%22 Jul →
mirage4–130.0012%22 Jul →
nuke12–120.0318%22 Jul →
ancient12–160.0323%22 Jul →
anubis7–13-0.0619%22 Jul →
inferno13–60.0716%22 Jul →
anubis3–130.0420%20 Jul →
ancient13–40.0724%20 Jul →
nuke5–13-0.0231%20 Jul →
cache8–13-0.070%19 Jul →
ancient14–160.0815%19 Jul →
ancient7–130.0313%19 Jul →
mirage13–60.0526%19 Jul →
ancient14–160.0511%18 Jul →
nuke13–70.1417%18 Jul →
inferno13–4-0.0016%18 Jul →
ancient16–130.0327%18 Jul →
inferno13–70.1520%16 Jul →
cache2–13-0.0618%16 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.