Deppi

Deppi — CS2 Stats

NO76561199072739738[U:1:1112474010]Steam profile ↗✓ No bans

492Tracked matches63%Win rate2022Tracked since
680Hours in CS3Hrs last 2 wks
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating15,110Purple band · top ~28% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 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.

Rating over time

Premier CS Rating: 15,110 +7,015 27 Feb – 27 Sept · 22 days played
6,58015,443peak 15,44327 Feb27 Sept
15,443Peak Premier in tracked matches
53Days played since 2025-02-23

Premier CS Rating

  • 333 below peak (15,443)
  • +3,785 over 30 days · improving
  • Next: Pink band at 20,000 — 4,890 to go
  • Reached: Purple band · Blue band · Light Blue band

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 3 among CSDB-tracked players (n=10,019), 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 3 medianLevel 4 medianvs Level 4
Headshot rate40.9%41.8%42.7%1.8% short
Shot accuracy11.8%12.2%11.3%above
Kill/death ratio0.790.980.990.20 short
Match win rate40.5%43.3%43.9%3.4% short

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

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDeppiFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,110 · Purple 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

Aim55
Positioning56
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateWWLLLLWTWT

Last 10 vs previous 10: −20pp win rate · +0.04 avg rating · −2.9pp headshot accuracy · −78ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 10%
  • Avg reaction 547ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 563ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 601ms

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 (+1.8 against its own average).

Aim5.5
Utility3.7
Positioning5.6
Opening Duels3.3
Clutch2.6

Strong CT-side openerLimited utility dependence

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 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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

T-side openings. Opening success drops from 53% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 594ms 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

Aim5.5
Positioning5.6
Utility3.7
Mechanics5.0
Opening Duels3.0
Win Impact9.3

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-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time599ms−118ms
first ⅓ avg 717ms → last ⅓ avg 599ms
Headshot accuracy14.3%−0.4%
first ⅓ avg 14.7% → last ⅓ avg 14.3%

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

0.16Best match rating · 13–1 · train, 7 Mar →
100%Best headshot accuracy · 2–8 · dust2, 29 Jul →
383msFastest reaction time · 2–8 · dust2, 29 Jul →
13–0Biggest win · dust2, 7 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
8–10In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 63% over 24anubisWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2415–963%-0.01
dust2B179–853%-0.02
nukeC156–940%-0.02
anubisD113–827%0.01
infernoA116–555%-0.02
ancientA74–357%0.01
overpass—42–250%-0.05
cache—32–167%0.04
train—32–167%0.04
office—22–0100%0.00
agency—10–10%-0.04
basalt—10–10%-0.02
vertigo—11–0100%0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,822Lifetime kills
0.79K/D
906Matches
40.5%Match win rate
40.9%Headshot %
11.8%Shot accuracy
1,480MVPs
283Hours (in match)
727Bombs planted
198Bombs defused

Most-used weapons

Lifetime map wins

1,440nuke
756inferno
640dust2
566vertigo
182lake
110train
45office
9safehouse

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

Faceit stats

Combat

25Matches
40%Win rate
0.67Avg K/D
57.5ADR
32%Headshot %

Clutches & streaks

33%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis838%0.6312.0
Mirage667%0.8311.8
Dust2450%0.588.3
Nuke30%0.6312.0
Vertigo10%0.7014.0
Inferno1100%1.1813.0

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.

13.5%Headshot accuracy
34.6%Accuracy (enemy spotted)
37.7%Spray accuracy
72.4%Counter-strafing
10.8°Preaim
594msReaction time
30.4%T opening success
53.3%CT opening success
0.51Enemies flashed / flash
1.0%Flash assists
9.39HE damage / grenade
3.64Flashes / 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 13.4518% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6439 — below the 4 mark we flag

    Grenade Lineups →
  3. 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 30.3787% — below the 40% mark we flag

Spend your practice time on Anubis

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–20.0918%27 Sept →
anubis13–40.1011%27 Sept →
nuke11–130.018%25 Sept →
mirage8–130.008%19 Sept →
nuke5–13-0.064%13 Sept →
inferno2–10-0.0438%13 Sept →
dust213–11-0.088%10 Sept →
nuke15–15-0.0410%9 Sept →
mirage13–70.014%9 Sept →
nuke15–150.0417%9 Sept →
nuke13–110.0125%8 Sept →
inferno2–13-0.0812%8 Sept →
nuke9–13-0.037%7 Sept →
inferno16–13-0.079%7 Sept →
mirage9–5-0.0624%7 Sept →
ancient13–11-0.0516%6 Sept →
anubis15–150.0012%6 Sept →
inferno13–100.0115%6 Sept →
nuke13–60.0020%6 Sept →
mirage9–13-0.0615%4 Sept →
dust28–13-0.019%4 Sept →
nuke14–16-0.0318%3 Sept →
dust213–60.0917%2 Sept →
inferno13–8-0.0110%2 Sept →
mirage13–10-0.0114%2 Sept →
dust213–60.0514%2 Sept →
inferno13–110.018%1 Sept →
mirage13–40.0325%1 Sept →
anubis11–130.039%31 Aug →
ancient16–13-0.0217%31 Aug →
mirage13–30.0923%31 Aug →
mirage9–13-0.0915%30 Aug →
nuke2–13-0.1115%30 Aug →
nuke13–10-0.008%30 Aug →
inferno0–13-0.050%30 Aug →
dust213–6-0.1014%30 Aug →
mirage13–100.018%30 Aug →
mirage13–9-0.0215%30 Aug →
mirage8–13-0.059%29 Aug →
nuke13–90.0412%29 Aug →
mirage13–80.0317%29 Aug →
cache13–110.0512%29 Aug →
inferno13–50.0517%29 Aug →
mirage9–130.0713%27 Aug →
dust211–13-0.0617%27 Aug →
dust29–13-0.037%26 Aug →
inferno13–100.037%26 Aug →
nuke4–13-0.0250%25 Aug →
dust213–70.0514%24 Aug →
nuke13–70.0220%24 Aug →
cache11–13-0.029%18 Aug →
mirage3–13-0.1025%23 Apr →
overpass13–8-0.0126%7 Apr →
anubis5–13-0.0520%30 Jan →
dust211–13-0.039%4 Dec →
agency11–13-0.0412%11 Aug →
nuke13–6-0.0111%11 Aug →
nuke9–13-0.0621%2 Aug →
dust211–13-0.0615%31 Jul →
overpass13–6-0.0518%31 Jul →
mirage13–60.0624%30 Jul →
mirage5–8-0.0325%29 Jul →
dust22–8-0.08100%29 Jul →
inferno12–12-0.0223%28 Jul →
train1–13-0.0610%18 Jul →
train13–70.0219%16 Jul →
mirage0–6-0.050%15 Jul →
anubis2–13-0.0728%14 Jul →
dust213–10.0530%19 Jun →
ancient13–40.0532%26 May →
mirage13–11-0.0318%26 May →
office13–100.0117%4 May →
overpass3–13-0.0512%3 May →
anubis13–50.0833%3 May →
anubis13–7-0.0119%13 Apr →
office13–11-0.0015%9 Apr →
basalt11–13-0.029%1 Apr →
anubis10–130.0314%17 Mar →
ancient2–130.079%15 Mar →
vertigo13–60.0511%15 Mar →
ancient13–80.0710%11 Mar →
mirage13–110.0210%10 Mar →
dust24–13-0.0919%8 Mar →
anubis3–13-0.0415%8 Mar →
inferno1–13-0.0617%8 Mar →
mirage11–13-0.019%7 Mar →
train13–10.1619%7 Mar →
dust213–00.0217%7 Mar →
ancient9–130.005%5 Mar →
mirage13–80.0310%5 Mar →
dust25–13-0.084%5 Mar →
anubis9–60.035%1 Mar →
overpass12–12-0.086%27 Feb →
mirage13–5-0.0720%27 Feb →
mirage13–2-0.020%27 Feb →
dust213–3-0.0415%27 Feb →
ancient8–13-0.0222%24 Feb →
anubis6–13-0.0413%24 Feb →
mirage13–90.038%23 Feb →
dust213–80.0512%23 Feb →

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 →

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