Dolphington

Dolphington — CS2 Stats

76561198102479022[U:1:142213294]Steam profile ↗✓ No bans

1,105Tracked matches70%Win rate2020Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating19,575Top 50% of 205,416 CSDB-tracked playersPurple band · top ~10.2% of ranked players (population est.)
CSDB Leaderboard#89062 of 252658 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+302Premier CS Rating · 19,273 → 19,575

Rating over time

Premier CS Rating: 19,575 +4,575 4 Nov – 17 Oct · 25 days played
11,45319,575peak 19,5754 Nov17 Oct
19,634Peak Premier in tracked matches
47Days played since 2025-11-04

Premier CS Rating

  • At peak — 19,575
  • Next: Pink band at 20,000 — 425 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.

Share this profile

CSDB.GGDolphingtonFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,575 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning56
Utility58

0–100 skill scores via Leetify.

Recent form

HOT55–38–7Last 10055%Win rateTWWWLWWWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +5.3pp headshot accuracy · +23ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 570ms

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 (+2.1 against its own average).

Aim6.7
Utility5.8
Positioning5.6
Opening Duels2.2
Clutch1.4

Effective flashes

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

ZywOo

Plays most like ZywOo 88% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

T openings. 64% T opening-duel success — entries that actually open the round.

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

Areas to improve

CT openings. Opening success drops from 64% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 588ms 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

Aim6.7
Positioning5.6
Utility5.8
Mechanics7.5
Opening Duels5.6
Win Impact10.0

Composite 6.7/10 (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 rating-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time587ms−75ms
first ⅓ avg 662ms → last ⅓ avg 587ms
Headshot accuracy15.3%−3.4%
first ⅓ avg 18.7% → last ⅓ avg 15.3%

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

0.11Best match rating · 12–16 · anubis, 1 Oct →
33%Best headshot accuracy · 2–13 · ancient, 19 Mar →
438msFastest reaction time · 13–8 · office, 11 Oct →
13–2Biggest win · dust2, 15 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–3In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 83% over 12dust2Weakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
mirageA2414–1058%-0.01
dust2D155–1033%-0.03
infernoB137–654%-0.04
nukeS1210–283%-0.02
ancientC104–640%-0.03
cacheS86–275%0.01
anubisC83–538%-0.01
overpass—30–30%-0.01
train—33–0100%-0.03
office—21–150%-0.05
vertigo—11–0100%-0.05
poseidon—11–0100%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

905Matches
47%Win rate
0.86Avg K/D
71.5ADR
40%Headshot %

Clutches & streaks

27%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1867%1.0314.6
Anubis1547%0.8912.9
Dust21040%0.7011.6
Inferno862%0.7811.5
Ancient520%1.1411.4
Cache540%0.6811.4
Nuke333%0.8916.0
Vertigo20%0.5410.0

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.

15.5%Headshot accuracy
33.2%Accuracy (enemy spotted)
33.8%Spray accuracy
83.5%Counter-strafing
9.2°Preaim
588msReaction time
64.2%T opening success
40.6%CT opening success
0.82Enemies flashed / flash
11.5%Flash assists
8.46HE damage / grenade
6.76Flashes / 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.

33% win rate across 15 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
inferno15–15-0.0119%17 Oct →
mirage13–8-0.0715%17 Oct →
inferno13–100.0010%16 Oct →
dust213–100.0216%16 Oct →
mirage13–16-0.0113%12 Oct →
office13–8-0.0622%11 Oct →
vertigo13–5-0.0521%11 Oct →
mirage13–3-0.0319%11 Oct →
nuke13–7-0.0825%11 Oct →
inferno13–7-0.0525%11 Oct →
mirage6–130.0215%10 Oct →
cache13–9-0.038%10 Oct →
dust28–13-0.0314%9 Oct →
ancient8–13-0.0413%9 Oct →
anubis13–10-0.0511%8 Oct →
cache13–90.0221%8 Oct →
nuke13–11-0.0317%7 Oct →
cache13–8-0.049%7 Oct →
cache5–13-0.0012%6 Oct →
anubis13–10-0.0411%6 Oct →
mirage13–60.0112%6 Oct →
nuke13–9-0.0414%5 Oct →
dust215–15-0.0515%5 Oct →
mirage7–13-0.0212%4 Oct →
dust29–13-0.0517%4 Oct →
mirage13–11-0.0217%3 Oct →
ancient13–10-0.0412%3 Oct →
ancient13–80.0618%3 Oct →
dust211–13-0.0422%2 Oct →
cache15–150.0215%2 Oct →
cache16–140.0315%1 Oct →
anubis12–160.1111%1 Oct →
inferno13–11-0.0411%1 Oct →
mirage13–60.1013%30 Sept →
nuke9–13-0.0413%30 Sept →
cache13–60.0424%30 Sept →
dust213–50.0314%29 Sept →
nuke13–90.0218%29 Sept →
dust210–13-0.059%29 Sept →
mirage11–130.0118%28 Sept →
nuke13–60.0126%28 Sept →
inferno13–80.0220%25 Sept →
mirage2–12-0.130%25 Jul →
nuke0–13-0.0920%25 Jul →
dust216–140.0120%23 Jul →
mirage13–3-0.0122%23 Jul →
mirage15–150.0229%22 Jul →
inferno15–15-0.027%20 Jul →
inferno2–13-0.0814%19 Jul →
cache13–30.0120%18 Jul →
dust23–13-0.0522%26 May →
mirage10–20.0117%26 May →
ancient7–13-0.0925%4 Apr →
ancient2–7-0.070%1 Apr →
overpass9–13-0.0210%31 Mar →
overpass4–13-0.0213%31 Mar →
dust215–150.0222%31 Mar →
inferno13–10-0.0113%30 Mar →
nuke13–100.0210%30 Mar →
mirage13–30.0625%30 Mar →
ancient13–40.0521%30 Mar →
mirage13–9-0.0613%29 Mar →
mirage5–13-0.0117%28 Mar →
inferno10–13-0.0712%28 Mar →
mirage6–13-0.087%27 Mar →
anubis5–13-0.0710%27 Mar →
nuke16–140.0011%26 Mar →
dust24–13-0.1823%26 Mar →
nuke13–80.0111%26 Mar →
ancient13–80.0323%25 Mar →
mirage13–90.0520%25 Mar →
anubis6–13-0.0412%24 Mar →
mirage9–130.1130%24 Mar →
inferno13–4-0.0219%23 Mar →
dust210–130.0315%23 Mar →
mirage13–80.0421%22 Mar →
inferno10–13-0.0726%22 Mar →
anubis13–110.0716%21 Mar →
dust216–140.0218%21 Mar →
nuke13–80.0520%21 Mar →
inferno11–13-0.0628%20 Mar →
train13–9-0.045%20 Mar →
anubis12–12-0.0719%20 Mar →
anubis3–100.0026%19 Mar →
ancient2–13-0.0733%19 Mar →
overpass10–130.0216%19 Mar →
poseidon9–7-0.0530%14 Mar →
mirage13–10-0.0517%28 Feb →
office8–13-0.037%28 Feb →
nuke13–3-0.0530%28 Feb →
train11–8-0.073%28 Feb →
mirage13–10-0.0516%28 Feb →
ancient4–13-0.0414%17 Nov →
dust26–13-0.0918%16 Nov →
mirage16–14-0.0319%15 Nov →
dust213–2-0.0328%15 Nov →
train13–100.0125%15 Nov →
inferno16–13-0.067%5 Nov →
ancient1–13-0.0912%5 Nov →
mirage4–13-0.1311%4 Nov →

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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