Chelsea_Terry

Chelsea_Terry — CS2 Stats

76561198817723925[U:1:857458197]Steam profile ↗

1,983Tracked matches67%Win rate2021Tracked since
3,740Hours in CS5Hrs last 2 wks
CSDB Rating8.0 StrongPositional Player
Premier CS Rating25,969Top 10% of 204,150 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#12931 of 251243 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (3 days ago). 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: 25,969 -1,363 8 Apr – 8 Oct · 13 days played
24,58327,540peak 27,5408 Apr8 Oct
27,540Peak Premier in tracked matches
1,870Highest Faceit ELO seen on CSDB
41Days played since 2026-04-06

Faceit ELO

  • At peak — 1,870
  • Next: Level 10 at 2,001 — 131 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6

Premier CS Rating

  • 1,571 below peak (27,540)
  • +388 over 30 days · steady
  • +130 over 90 days
  • Next: Gold band at 30,000 — 4,031 to go
  • Reached: Red band · Pink band · Purple band · 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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate48.7%49.2%50.7%2.0% short
Shot accuracy13.9%13.4%11.8%above
Kill/death ratio1.111.121.180.07 short
Match win rate40.7%48.5%51.9%11.2% short

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

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

Share this profile

CSDB.GGChelsea_TerryPREMIER25,969 · Red bandPEAK ELO1,870csdb.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

Aim84
Positioning71
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY57–33–10Last 10057%Win rateLWWLWWWWLT

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +1.0pp headshot accuracy · +25ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 534ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 542ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 530ms

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).

Aim8.4
Utility5.2
Positioning7.1
Opening Duels6.3
Clutch3.4

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

donk

Plays most like donk 94% playstyle similarity

Most alike: opening-duel success, 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

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

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

Aim8.4
Positioning7.1
Utility5.2
Mechanics8.1
Opening Duels6.6
Win Impact10.0

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time537ms−65ms
first ⅓ avg 603ms → last ⅓ avg 537ms
Headshot accuracy20.2%+1.7%
first ⅓ avg 18.6% → last ⅓ avg 20.2%

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

0.33Best match rating · 9–1 · inferno, 14 Apr →
53%Best headshot accuracy · 1–5 · vertigo, 8 Apr →
391msFastest reaction time · 1–3 · dust2, 17 Apr →
13–0Biggest win · mirage, 13 Apr →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

poseidonBest map · 80% over 5nukeWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB1910–953%0.02
dust2A1811–761%0.03
mirageA159–660%0.02
ancientS118–373%0.02
nukeC83–538%0.02
cacheC73–443%0.04
vertigoS64–267%0.07
poseidonS54–180%0.08
anubisC52–340%0.04
train—42–250%0.00
alpine—11–0100%0.15
warden—10–10%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

147,638Lifetime kills
1.11K/D
6,774Matches
40.7%Match win rate
48.7%Headshot %
13.9%Shot accuracy · Top 50% of Red band
13,992MVPs
2,793Hours (in match)
6,833Bombs planted
1,342Bombs defused

Most-used weapons

AK-4761,315
AWP17,228
MP95,549
SSG 083,209
Tec-92,160
MAC-102,126

Lifetime map wins

22,660dust2
6,764inferno
1,943nuke
1,566vertigo
1,117train
136office
102safehouse
93cbble

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

Faceit stats

Combat

62Matches
66%Win rate
1.28Avg K/D
90.8ADR
51%Headshot %

Clutches & streaks

37%1v1 clutch win
31%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust22080%1.3819.4
Mirage1650%1.2219.3
Ancient1486%1.4519.4
Inferno743%1.0817.4
Nuke20%0.9917.5
Anubis250%1.0015.0
Train1100%0.7613.0

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.

19.6%Headshot accuracy
39.5%Accuracy (enemy spotted)
38.1%Spray accuracy
86.5%Counter-strafing
10.0°Preaim
548msReaction time
50.8%T opening success
62.4%CT opening success
0.39Enemies flashed / flash
8.3%Flash assists
8.52HE damage / grenade
9.70Flashes / 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 0.3941 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.0317%9 Oct →
dust213–10.0623%8 Oct →
ancient13–100.0420%30 Sept →
ancient2–13-0.0531%30 Sept →
mirage13–110.0422%29 Sept →
inferno13–6-0.0217%25 Sept →
dust213–30.1420%25 Sept →
cache16–140.0430%23 Sept →
dust28–13-0.0520%23 Sept →
nuke12–120.0621%18 Sept →
vertigo13–110.0720%18 Sept →
inferno9–6-0.0226%18 Sept →
inferno11–13-0.018%17 Sept →
train13–30.0127%15 Sept →
nuke12–120.0519%15 Sept →
nuke12–120.0123%15 Sept →
poseidon9–30.0420%15 Sept →
vertigo9–30.2640%14 Sept →
cache10–130.0416%10 Sept →
mirage13–30.0813%10 Sept →
anubis13–90.0822%10 Sept →
dust213–11-0.0113%4 Sept →
mirage7–130.0219%4 Sept →
mirage11–13-0.0322%3 Sept →
inferno13–90.0111%3 Sept →
ancient13–30.0330%2 Sept →
dust213–3-0.0315%2 Sept →
anubis13–30.0618%2 Sept →
mirage13–9-0.0322%2 Sept →
dust213–60.0922%2 Sept →
inferno8–8-0.0215%2 Sept →
inferno16–140.0517%1 Sept →
anubis11–13-0.079%31 Aug →
dust27–130.0824%31 Aug →
dust213–100.0422%31 Aug →
ancient13–20.0214%31 Aug →
dust211–130.0419%2 Jul →
dust213–2-0.0313%25 Jun →
ancient13–10-0.0314%18 Jun →
ancient16–130.0318%18 Jun →
ancient13–40.0616%18 Jun →
nuke13–70.0825%18 Jun →
dust211–130.0825%18 Jun →
ancient19–170.0320%18 Jun →
mirage10–130.0014%18 Jun →
ancient13–110.0118%15 Jun →
mirage5–130.0219%9 Jun →
dust213–70.0719%9 Jun →
inferno13–160.0024%6 Jun →
inferno8–80.0519%6 Jun →
cache13–30.0319%6 Jun →
mirage12–12-0.0520%5 Jun →
nuke8–130.0416%5 Jun →
dust213–40.0632%5 Jun →
inferno9–13-0.0410%21 May →
cache8–13-0.0413%14 May →
mirage13–40.0419%14 May →
anubis6–130.0723%14 May →
inferno9–20.1030%14 May →
cache12–120.0714%13 May →
cache7–130.0619%11 May →
cache13–40.0534%6 May →
dust211–130.0429%1 May →
alpine13–90.1513%23 Apr →
dust213–90.0415%22 Apr →
train13–5-0.0213%22 Apr →
inferno13–70.1017%22 Apr →
ancient4–130.0729%22 Apr →
mirage13–16-0.0421%20 Apr →
inferno5–9-0.0816%19 Apr →
dust212–12-0.0418%17 Apr →
dust21–3-0.0317%17 Apr →
nuke13–8-0.0213%17 Apr →
mirage13–11-0.0012%17 Apr →
inferno9–30.0317%17 Apr →
inferno13–6-0.0317%15 Apr →
mirage13–60.0312%15 Apr →
dust213–10-0.0018%14 Apr →
anubis10–130.0416%14 Apr →
nuke11–130.0611%14 Apr →
inferno9–10.3320%14 Apr →
inferno8–8-0.0211%14 Apr →
poseidon5–90.0413%13 Apr →
train10–130.0215%13 Apr →
inferno13–50.0011%13 Apr →
mirage13–11-0.0015%13 Apr →
mirage13–00.1827%13 Apr →
nuke13–9-0.0728%13 Apr →
poseidon9–50.018%13 Apr →
vertigo13–100.0615%12 Apr →
inferno3–9-0.0718%12 Apr →
vertigo13–60.0530%8 Apr →
warden9–130.0827%8 Apr →
vertigo1–50.0153%8 Apr →
vertigo4–13-0.0112%8 Apr →
mirage13–60.0114%8 Apr →
inferno8–80.0913%8 Apr →
poseidon9–70.0022%7 Apr →
poseidon9–20.2921%7 Apr →
train6–13-0.0128%6 Apr →

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 →

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