d1p5h1t Dim Mak

d1p5h1t Dim Mak — CS2 Stats

76561197962869635[U:1:2603907]Steam profile ↗✓ No bans

3,100Tracked matches67%Win rate2020Tracked since
6,753Hours in CS11Hrs last 2 wks
CSDB Rating6.4 SolidSupport
Premier CS Rating20,634Top 50% of 208,919 CSDB-tracked playersPink band · top ~7.8% of ranked players (population est.)
CSDB Leaderboard#73239 of 256045 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 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: 20,634 +1,886 22 Jul – 21 Oct · 31 days played
17,58721,067peak 21,06722 Jul21 Oct
21,208Peak Premier in tracked matches
35Days played since 2026-07-17

Premier CS Rating

  • 433 below peak (21,067)
  • +2,706 over 30 days · improving
  • +1,886 over 90 days
  • Next: Red band at 25,000 — 4,366 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue 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 9 among CSDB-tracked players (n=14,654), 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 9 medianLevel 10 medianvs Level 10
Headshot rate43.4%48.2%50.9%7.5% short
Shot accuracy13.3%13.2%13.7%0.4% short
Kill/death ratio1.141.071.09above
Match win rate41.8%46.9%48.4%6.6% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGd1p5h1t Dim MakFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER20,634 · Pink bandcsdb.gg/stats

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Performance scores

Aim64
Positioning53
Utility77

0–100 skill scores via Leetify.

Recent form

STEADY51–44–5Last 10051%Win rateLLWLWWWWLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +4.7pp headshot accuracy · +76ms 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 (+0.02), 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 24%
  • Avg reaction 613ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 25%
  • Avg reaction 604ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 566ms

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 (+2.3 against its own average).

Aim6.4
Utility7.7
Positioning5.3
Opening Duels3.3

Effective flashesHigh utility contribution

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

Twistzz

Plays most like Twistzz 81% 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

Strengths

Flashes. 0.82 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Reaction time. 557ms 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

Aim6.4
Positioning5.3
Utility7.7
Mechanics4.9
Opening Duels4.2
Win Impact10.0

Composite 6.4/10 (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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time555ms+7ms
first ⅓ avg 547ms → last ⅓ avg 555ms
Headshot accuracy21.9%+1.7%
first ⅓ avg 20.2% → last ⅓ avg 21.9%

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

0.17Best match rating · 13–5 · inferno, 22 Sept →
39%Best headshot accuracy · 13–3 · dust2, 17 Aug →
359msFastest reaction time · 9–13 · mirage, 17 Aug →
13–0Biggest win · cache, 5 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 59% over 17ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2212–1055%0.01
infernoA1710–759%0.02
mirageB168–850%0.01
anubisB158–753%0.00
ancientC114–736%-0.01
nukeC104–640%0.01
cacheA95–456%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

135,517Lifetime kills
1.14K/D · Top 50% of Level 9 players
7,113Matches
41.8%Match win rate
43.4%Headshot %
13.3%Shot accuracy · Top 50% of Level 9 players
12,470MVPs
3,114Hours (in match)
11,169Bombs planted
2,079Bombs defused

Most-used weapons

AK-4735,166
AWP12,783
XM10144,380
SG 5534,205
MP93,616

Lifetime map wins

14,774dust2
14,375inferno
6,879nuke
1,407vertigo
1,200train
131office
77italy
61dust

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

Faceit stats

Combat

1,005Matches
51%Win rate
1.12Avg K/D
—ADR
38%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno580%0.9514.2
Mirage540%0.609.2
Anubis425%0.7211.5
Vertigo3100%0.8210.7
Dust22100%0.569.0
Ancient1100%1.5021.0
Nuke10%0.6712.0

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.

22.2%Headshot accuracy
32.5%Accuracy (enemy spotted)
37.7%Spray accuracy
72.1%Counter-strafing
11.6°Preaim
557msReaction time
46.4%T opening success
47.2%CT opening success
0.82Enemies flashed / flash
14.0%Flash assists
10.63HE damage / grenade
12.00Flashes / match

Recommended for you

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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0220%21 Oct →
nuke13–160.0130%21 Oct →
mirage13–80.1022%21 Oct →
nuke11–130.0723%16 Oct →
cache13–7-0.0326%16 Oct →
anubis13–7-0.0014%16 Oct →
inferno13–7-0.0019%14 Oct →
dust213–6-0.0230%14 Oct →
mirage3–13-0.0738%14 Oct →
mirage11–130.0226%11 Oct →
anubis4–13-0.0823%11 Oct →
nuke13–6-0.078%11 Oct →
anubis13–40.0415%10 Oct →
anubis16–140.0512%10 Oct →
inferno4–13-0.0122%6 Oct →
dust213–8-0.0229%6 Oct →
inferno13–70.0216%6 Oct →
anubis13–110.0237%5 Oct →
nuke13–90.0518%5 Oct →
cache7–13-0.0820%5 Oct →
mirage8–130.0516%4 Oct →
dust213–9-0.0023%4 Oct →
ancient13–50.0523%4 Oct →
anubis13–70.0015%1 Oct →
mirage13–70.0227%1 Oct →
inferno13–40.0319%1 Oct →
mirage13–4-0.0129%1 Oct →
anubis13–11-0.0126%1 Oct →
mirage5–130.0322%1 Oct →
mirage13–110.0318%1 Oct →
nuke10–13-0.0218%23 Sept →
ancient8–13-0.0320%23 Sept →
inferno13–16-0.0418%22 Sept →
mirage13–40.0534%22 Sept →
inferno13–50.1718%22 Sept →
mirage15–150.0116%21 Sept →
ancient9–130.0114%21 Sept →
anubis10–130.0011%21 Sept →
mirage11–13-0.0412%21 Sept →
dust211–13-0.0312%21 Sept →
inferno9–130.0312%21 Sept →
dust29–130.0222%21 Sept →
ancient12–16-0.0116%21 Sept →
nuke9–13-0.0218%16 Sept →
ancient7–13-0.0511%16 Sept →
dust213–9-0.0319%10 Sept →
inferno9–130.0729%9 Sept →
anubis9–130.0118%9 Sept →
inferno13–100.0117%9 Sept →
mirage13–60.0623%9 Sept →
dust213–100.0318%8 Sept →
dust213–100.0325%8 Sept →
cache13–00.0717%5 Sept →
ancient16–12-0.0217%5 Sept →
inferno13–6-0.0017%5 Sept →
ancient13–9-0.0326%4 Sept →
dust28–130.1124%4 Sept →
mirage13–110.0211%3 Sept →
dust24–13-0.0721%31 Aug →
dust213–100.1112%31 Aug →
nuke11–13-0.0418%30 Aug →
inferno13–50.1126%29 Aug →
inferno12–120.0226%29 Aug →
dust213–16-0.0322%27 Aug →
anubis8–130.0022%27 Aug →
cache8–13-0.0527%23 Aug →
inferno6–13-0.0614%23 Aug →
cache13–3-0.029%23 Aug →
anubis13–80.0520%23 Aug →
ancient7–13-0.0519%22 Aug →
anubis13–50.0312%22 Aug →
ancient10–130.0314%22 Aug →
nuke13–8-0.016%18 Aug →
dust211–130.0128%18 Aug →
dust213–30.0739%17 Aug →
cache4–13-0.0113%17 Aug →
mirage9–13-0.0719%17 Aug →
cache15–15-0.0421%16 Aug →
dust215–150.0616%15 Aug →
dust213–40.0012%15 Aug →
inferno13–11-0.0119%13 Aug →
anubis13–16-0.0412%13 Aug →
inferno13–7-0.0526%12 Aug →
ancient13–1-0.0113%12 Aug →
inferno13–8-0.0026%12 Aug →
cache13–70.0724%22 Jul →
dust216–140.0223%22 Jul →
anubis11–130.0318%22 Jul →
nuke13–20.0929%22 Jul →
dust28–130.0026%22 Jul →
anubis7–13-0.0227%21 Jul →
nuke7–130.0119%21 Jul →
dust213–60.0327%19 Jul →
ancient3–13-0.0417%19 Jul →
mirage14–16-0.0526%19 Jul →
cache16–140.0319%19 Jul →
inferno5–130.0231%19 Jul →
dust215–150.0024%19 Jul →
mirage13–50.0014%17 Jul →
dust213–6-0.0320%17 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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