dolphin004

dolphin004 — CS2 Stats

76561199196899034[U:1:1236633306]Steam profile ↗✓ No bans

1,086Tracked matches57%Win rate2022Tracked since
1,242Hours in CS11Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
CSDB Leaderboard#73252 of 252627 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 20,562 +834 7 Sept – 19 Nov · 4 days played
19,72820,562peak 20,5627 Sept19 Nov
20,562Peak Premier in tracked matches
72Days played since 2025-07-22

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 rate47.0%48.2%50.9%3.9% short
Shot accuracy2.1%13.2%13.7%11.6% short
Kill/death ratio1.301.071.09above
Match win rate50.6%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGdolphin004FACEITLevel 9STANDINGTop 20.7% of rankedcsdb.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

Aim92
Positioning75
Utility45

0–100 skill scores via Leetify.

Recent form

HOT58–39–3Last 10058%Win rateLWWLWWWLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −1.7pp headshot accuracy · −44ms reaction

Win rate up 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 20%
  • Avg reaction 503ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 482ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 504ms

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 (+1.6 against its own average).

Aim9.2
Utility4.5
Positioning7.5
Opening Duels6.6
Clutch4.8

Sharp aimer

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

s1mple

Plays most like s1mple 91% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower utility contribution.

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

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 68% T opening-duel success — entries that actually open the round.

Areas to improve

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

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

Aim9.2
Positioning7.5
Utility4.5
Mechanics6.7
Opening Duels8.5
Win Impact7.4

Composite 7.5/10 (Strong), 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 rating0.03−0.00
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time510ms−69ms
first ⅓ avg 579ms → last ⅓ avg 510ms
Headshot accuracy22.5%+1.3%
first ⅓ avg 21.3% → last ⅓ avg 22.5%

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

0.13Best match rating · 13–2 · inferno, 13 Sept →
40%Best headshot accuracy · 13–11 · mirage, 14 Sept →
359msFastest reaction time · 6–13 · inferno, 29 Sept →
13–1Biggest win · nuke, 3 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
11–10In matches decided by ≤2 rounds
20Overtime games

Map breakdown

dust2Best map · 71% over 7anubisWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
mirageS2013–765%0.03
ancientS1812–667%0.04
anubisC167–944%0.02
nukeA148–657%0.05
infernoB147–750%0.05
dust2S75–271%0.03
overpass—41–325%0.02
cache—31–233%0.01
vertigo—22–0100%0.06
train—22–0100%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

30,625Lifetime kills
1.30K/D · Top 25% of Level 9 players
1,507Matches
50.6%Match win rate · Top 25% of Level 9 players
47.0%Headshot %
2.1%Shot accuracy
4,316MVPs
616Hours (in match)
933Bombs planted
362Bombs defused

Most-used weapons

AK-4711,944
AWP2,007
MP91,003
Knife702

Lifetime map wins

2,524inferno
1,952vertigo
1,079dust2
1,035nuke
159train
140italy
108office
99assault

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

Faceit stats

Combat

785Matches
53%Win rate
1.44Avg K/D
104.9ADR
50%Headshot %

Clutches & streaks

44%1v1 clutch win
28%1v2 clutch win
15Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Anubis14958%1.4921.2
Mirage14548%1.3920.7
Inferno13449%1.3621.0
Ancient12859%1.5021.7
Vertigo8660%1.4321.5
Nuke7253%1.5221.7
Dust24045%1.4419.7
Overpass1735%1.3519.9

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.

22.6%Headshot accuracy
41.4%Accuracy (enemy spotted)
41.7%Spray accuracy
80.1%Counter-strafing
7.8°Preaim
509msReaction time
67.8%T opening success
60.4%CT opening success
0.46Enemies flashed / flash
6.0%Flash assists
7.89HE damage / grenade
9.35Flashes / 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 0.457 — below the 0.5 mark we flag

    Grenade Lineups →
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.

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0222%16 Oct →
ancient16–140.0614%14 Oct →
anubis13–40.0621%14 Oct →
cache9–130.0218%14 Oct →
anubis13–80.1023%13 Oct →
ancient16–140.0223%11 Oct →
dust213–80.0333%9 Oct →
inferno6–13-0.0121%29 Sept →
anubis13–60.0622%27 Sept →
cache13–100.0119%26 Sept →
nuke13–110.0221%24 Sept →
anubis15–150.0825%23 Sept →
mirage13–50.0819%23 Sept →
ancient7–130.0321%23 Sept →
dust214–16-0.0315%14 Sept →
mirage13–40.0935%13 Sept →
inferno13–20.1323%13 Sept →
mirage17–190.0519%12 Sept →
dust213–70.0439%11 Sept →
anubis6–130.0117%6 Sept →
anubis13–60.1121%5 Sept →
ancient6–130.0621%1 Sept →
ancient13–50.0117%1 Sept →
anubis4–130.0022%1 Sept →
anubis13–80.0527%30 Aug →
anubis20–22-0.0125%30 Aug →
dust25–13-0.0120%27 Aug →
ancient13–40.0125%27 Aug →
nuke15–150.0627%26 Aug →
mirage10–13-0.0328%17 Aug →
anubis8–13-0.0211%16 Aug →
inferno16–120.0132%15 Aug →
anubis2–13-0.0617%14 Aug →
vertigo22–200.0314%10 Aug →
cache7–130.0022%4 Aug →
mirage5–13-0.0134%1 Aug →
mirage13–50.0223%1 Aug →
ancient13–60.0110%27 Jul →
ancient13–60.0913%24 Jul →
anubis5–13-0.0030%24 Jul →
anubis17–190.0118%18 Jul →
mirage10–130.0421%17 Jul →
anubis13–11-0.0224%15 Jul →
mirage13–80.1121%14 Jul →
ancient13–70.0616%11 Jul →
anubis9–130.0214%8 Jul →
nuke16–140.0930%2 Jul →
inferno14–160.0824%1 Jul →
inferno11–130.0531%22 Jun →
dust213–90.0011%17 Dec →
nuke12–12-0.0429%21 Nov →
nuke13–60.0628%19 Nov →
nuke13–50.0618%5 Oct →
overpass11–13-0.0427%1 Oct →
nuke13–30.0728%1 Oct →
nuke13–50.0628%30 Sept →
mirage13–7-0.0322%30 Sept →
inferno13–90.0714%17 Sept →
mirage13–110.0140%14 Sept →
train13–100.0124%14 Sept →
dust216–140.1323%10 Sept →
mirage13–90.0531%7 Sept →
ancient8–13-0.0025%7 Sept →
ancient13–100.0323%7 Sept →
mirage13–60.1026%4 Sept →
inferno11–130.0120%1 Sept →
nuke13–100.1322%31 Aug →
ancient12–160.0217%30 Aug →
mirage6–13-0.0116%28 Aug →
dust213–20.0233%28 Aug →
overpass10–130.0425%28 Aug →
nuke10–130.0428%28 Aug →
ancient13–9-0.0012%28 Aug →
mirage16–12-0.0422%27 Aug →
mirage13–90.1111%25 Aug →
nuke13–160.0215%24 Aug →
inferno13–50.0628%23 Aug →
anubis13–6-0.0427%23 Aug →
inferno13–110.1013%17 Aug →
vertigo13–70.1025%15 Aug →
ancient13–11-0.0128%15 Aug →
train13–50.0022%15 Aug →
ancient13–60.1316%12 Aug →
mirage13–70.0113%12 Aug →
mirage6–130.0632%11 Aug →
ancient10–130.0522%11 Aug →
inferno13–5-0.0128%10 Aug →
mirage13–20.0126%6 Aug →
overpass4–13-0.0020%6 Aug →
mirage13–70.0433%5 Aug →
nuke13–10.0619%3 Aug →
overpass13–100.0719%1 Aug →
nuke13–160.0221%31 Jul →
ancient19–170.0922%30 Jul →
mirage8–130.0126%30 Jul →
inferno2–6-0.0019%29 Jul →
inferno9–130.0714%25 Jul →
inferno13–40.1026%25 Jul →
ancient12–16-0.0113%23 Jul →
inferno14–160.0812%22 Jul →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
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.