delphiki

delphiki — CS2 Stats

US76561198010933397[U:1:50667669]Steam profile ↗✓ No bans

616Tracked matches50%Win rate2020Tracked since
CSDB Rating6.9 SolidPositional Player
CSDB Leaderboard#27553 of 260360 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,566 -3,488 5 Dec – 11 Jun · 15 days played
22,52428,717peak 28,7175 Dec11 Jun
28,717Peak Premier in tracked matches
57Days played since 2025-12-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim85
Positioning62
Utility53

0–100 skill scores via Leetify.

Recent form

COLD40–55–5Last 10040%Win rateTWLLLLLWLW

Last 10 vs previous 10: −30pp win rate · +0.03 avg rating · −10.8pp headshot accuracy · −32ms reaction

Win rate down 30pp 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 (+0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 21%
  • Avg reaction 596ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 621ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 28%
  • Avg reaction 637ms

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 (+1.3 against its own average).

Aim8.5
Utility5.3
Positioning6.2
Opening Duels5.3
Clutch3.0

Sharp aimerExcellent counter-strafing

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 96% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower utility contribution; lower positioning 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

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 614ms 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

Aim8.5
Positioning6.2
Utility5.3
Mechanics8.9
Opening Duels4.4
Win Impact5.0

Composite 6.9/10 (Solid), 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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time622ms−45ms
first ⅓ avg 666ms → last ⅓ avg 622ms
Headshot accuracy27.6%−0.5%
first ⅓ avg 28.1% → last ⅓ avg 27.6%

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

0.14Best match rating · 13–7 · nuke, 21 Jan →
60%Best headshot accuracy · 3–13 · mirage, 30 Dec →
477msFastest reaction time · 1–13 · train, 19 Jan →
13–1Biggest win · nuke, 20 May →

Across the last 100 tracked matches.

Highlights

3Longest win streak
8–4In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 67% over 9dust2Weakest map · 19% over 21
MapGradePlayedRecordWin rateAvg rating
dust2D214–1719%0.01
nukeA1710–759%0.02
infernoD124–833%0.02
ancientC114–736%-0.00
mirageB105–550%0.03
overpassS96–367%0.01
anubisD72–529%0.03
train—41–325%0.05
cache—32–167%-0.02
vertigo—21–150%0.04
warden—20–20%0.03
office—10–10%0.05
golden—11–0100%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (19% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

430Matches
55%Win rate
1.24Avg K/D
80.9ADR
49%Headshot %

Clutches & streaks

35%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust22934%1.1615.7
Nuke2654%1.1915.5
Mirage2638%1.1315.7
Inferno1669%1.2415.4
Overpass1362%1.0716.9
Ancient1258%1.1617.0
Anubis743%0.9716.4
Train757%1.4022.6

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.

27.6%Headshot accuracy
34.6%Accuracy (enemy spotted)
35.8%Spray accuracy
90.2%Counter-strafing
8.9°Preaim
614msReaction time
43.8%T opening success
51.6%CT opening success
0.61Enemies flashed / flash
2.8%Flash assists
6.58HE damage / grenade
8.08Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

19% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo12–120.0112%5 Sept →
vertigo13–80.0819%5 Sept →
train5–130.1022%25 Aug →
anubis4–130.0217%25 Aug →
inferno7–130.0338%5 Aug →
cache10–13-0.0215%5 Aug →
nuke0–8-0.0527%26 Jul →
dust213–40.0232%24 Jul →
nuke2–13-0.0417%24 Jul →
nuke13–60.0031%22 Jul →
cache13–5-0.0533%22 Jul →
nuke13–110.0324%15 Jul →
ancient2–13-0.0439%18 Jun →
inferno13–40.0429%11 Jun →
ancient16–140.0925%30 May →
overpass13–50.0027%26 May →
inferno9–13-0.0329%26 May →
dust27–13-0.0756%24 May →
mirage7–8-0.0743%24 May →
nuke6–1-0.0833%24 May →
inferno13–60.0518%22 May →
nuke9–130.0324%22 May →
dust211–13-0.0034%21 May →
dust213–70.0428%21 May →
anubis6–130.0326%20 May →
nuke13–10.0819%20 May →
dust213–110.0531%20 May →
dust210–130.0242%14 May →
ancient15–15-0.0311%8 May →
cache13–100.0141%29 Apr →
dust24–13-0.0237%24 Apr →
overpass13–10-0.0316%17 Apr →
anubis16–140.0317%10 Apr →
dust27–13-0.0322%8 Apr →
nuke13–80.0023%5 Apr →
overpass13–50.0928%27 Mar →
warden5–130.1316%24 Mar →
ancient8–13-0.0017%22 Mar →
inferno13–40.1038%22 Mar →
inferno13–30.0631%20 Mar →
overpass13–5-0.0621%20 Mar →
dust215–150.0235%18 Mar →
inferno7–130.0623%18 Mar →
dust26–13-0.0339%16 Mar →
ancient4–13-0.1021%16 Mar →
overpass13–110.0818%16 Mar →
dust26–130.0236%16 Mar →
mirage13–160.0526%14 Mar →
dust213–100.1320%14 Mar →
ancient13–20.0115%12 Mar →
overpass13–50.0923%12 Mar →
dust27–130.0123%7 Mar →
inferno4–130.0124%5 Mar →
anubis5–130.0225%5 Mar →
overpass7–13-0.0719%2 Mar →
anubis10–130.0724%2 Mar →
inferno0–130.0523%28 Feb →
anubis10–13-0.0618%18 Feb →
mirage13–50.1031%18 Feb →
dust22–13-0.0520%15 Feb →
anubis13–100.0820%7 Feb →
nuke13–9-0.0123%4 Feb →
ancient13–40.0124%4 Feb →
dust29–130.0119%4 Feb →
dust211–13-0.0825%3 Feb →
dust27–13-0.0236%3 Feb →
mirage4–130.0427%29 Jan →
warden9–13-0.0635%22 Jan →
nuke13–70.1425%21 Jan →
office4–130.0525%21 Jan →
nuke3–13-0.0236%20 Jan →
inferno6–13-0.1024%20 Jan →
dust212–120.0025%20 Jan →
ancient8–130.0230%20 Jan →
golden13–30.0324%20 Jan →
nuke12–120.0826%19 Jan →
ancient6–130.0642%19 Jan →
nuke7–130.0121%19 Jan →
train1–130.0130%19 Jan →
dust24–130.0841%19 Jan →
train13–90.0916%18 Jan →
mirage6–13-0.0118%16 Jan →
overpass1–130.0241%15 Jan →
nuke13–5-0.0336%14 Jan →
overpass11–13-0.0113%9 Jan →
mirage13–110.0725%5 Jan →
mirage3–130.0260%30 Dec →
dust26–130.1222%30 Dec →
nuke13–60.0620%27 Dec →
inferno3–13-0.0337%27 Dec →
mirage13–90.0119%27 Dec →
nuke16–140.0727%27 Dec →
nuke7–130.0951%27 Dec →
ancient13–80.0625%20 Dec →
dust27–130.0425%19 Dec →
inferno10–130.0135%19 Dec →
mirage13–50.0217%19 Dec →
ancient3–13-0.0922%9 Dec →
train6–13-0.0015%5 Dec →
mirage13–110.0420%5 Dec →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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