TRACY

TRACY — CS2 Stats

IS76561199529374260[U:1:1569108532]Steam profile ↗✓ No bans

1,173Tracked matches61%Win rate2023Tracked since
968Hours in CS14Hrs last 2 wks
CSDB Rating6.2 SolidClutch Specialist
Premier CS Rating22,537Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.7% of ranked players (population est.)
CSDB Leaderboard#50240 of 261537 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−344Premier CS Rating · 22,881 → 22,537

Rating over time

Premier CS Rating: 22,537 +3,651 6 Jul – 14 Nov · 35 days played
18,88623,674peak 23,6746 Jul14 Nov
24,040Peak Premier in tracked matches
41Days played since 2026-07-06

Premier CS Rating

  • 1,137 below peak (23,674)
  • +658 over 30 days · improving
  • +2,434 over 90 days
  • Next: Red band at 25,000 — 2,463 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-09
  • Purple band first seen 2026-09-09

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate55.2%46.9%49.3%above
Shot accuracy2.2%13.0%13.4%11.2% short
Kill/death ratio1.031.081.120.09 short
Match win rate43.8%46.7%48.5%4.7% short

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

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

Share this profile

CSDB.GGTRACYPREMIER22,537 · Pink bandcsdb.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

Aim70
Positioning51
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateLWLWLWLLLW

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −4.9pp headshot accuracy · −68ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 25%
  • Avg reaction 476ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 504ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 28%
  • Avg reaction 538ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.3 against its own average).

Aim7.0
Utility4.4
Positioning5.1
Opening Duels1.5
Clutch8.0

Reliable in 1v1s

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

iM

Plays most like iM 95% 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

Areas to improve

CT openings. Opening success drops from 58% on T to 37% on CT — first contacts on the defending side are being lost.

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

Aim7.0
Positioning5.1
Utility4.4
Mechanics6.8
Opening Duels4.4
Win Impact8.6

Composite 6.2/10 (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 rating-0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg -0.00
Reaction time536ms−3ms
first ⅓ avg 538ms → last ⅓ avg 536ms
Headshot accuracy24.7%+3.2%
first ⅓ avg 21.6% → last ⅓ avg 24.7%

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

0.25Best match rating · 13–1 · dust2, 21 Aug →
100%Best headshot accuracy · 3–0 · cache, 9 Nov →
391msFastest reaction time · 3–8 · inferno, 12 Nov →
13–1Biggest win · dust2, 21 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 80% over 5infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageA2918–1162%0.01
dust2A1911–858%0.01
ancientC177–1041%-0.01
infernoD124–833%-0.02
cacheS118–373%0.01
nukeS54–180%0.01
vertigo—40–40%-0.05
anubis—22–0100%-0.02
overpass—11–0100%0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,971Lifetime kills
1.03K/D
1,480Matches
43.8%Match win rate
55.2%Headshot % · Top 25% of Pink band
2.2%Shot accuracy
3,406MVPs
502Hours (in match)
601Bombs planted
299Bombs defused

Most-used weapons

Lifetime map wins

1,872dust2
1,767inferno
1,350vertigo
1,111nuke
158train
68office
9lake
2ar_shoots

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

Faceit stats

Combat

22Matches
59%Win rate
1.17Avg K/D
92.3ADR
51%Headshot %

Clutches & streaks

60%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1258%1.1118.1
Nuke450%1.4616.8
Dust23100%1.2420.7
Vertigo10%1.0018.0
Anubis1100%1.2018.0
Cache10%0.7110.0

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.

22.6%Headshot accuracy
30.6%Accuracy (enemy spotted)
26.3%Spray accuracy
80.4%Counter-strafing
8.5°Preaim
542msReaction time
57.8%T opening success
37.2%CT opening success
0.59Enemies flashed / flash
4.5%Flash assists
7.03HE damage / grenade
7.45Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 37.1898% — below the 40% mark we flag

Spend your practice time on Inferno

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 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno4–13-0.0416%14 Nov →
cache13–50.0247%13 Nov →
inferno3–8-0.0325%12 Nov →
ancient13–40.0128%10 Nov →
cache11–13-0.0511%10 Nov →
inferno13–8-0.0520%10 Nov →
mirage5–13-0.0629%10 Nov →
ancient10–130.0233%9 Nov →
cache8–130.0331%9 Nov →
mirage13–70.0216%9 Nov →
cache3–00.15100%9 Nov →
mirage10–13-0.0228%8 Nov →
dust215–15-0.0426%8 Nov →
mirage13–70.0415%8 Nov →
ancient13–100.0127%4 Nov →
dust215–150.0021%4 Nov →
mirage13–80.0618%1 Nov →
ancient5–13-0.0230%28 Oct →
cache13–4-0.018%22 Oct →
mirage13–40.0430%22 Oct →
dust213–110.0310%22 Oct →
cache13–9-0.0531%22 Oct →
cache13–9-0.0029%22 Oct →
anubis13–10-0.029%18 Oct →
dust213–60.0425%18 Oct →
mirage13–10-0.0513%14 Oct →
cache13–16-0.0217%14 Oct →
inferno2–13-0.1017%14 Oct →
overpass9–60.0623%14 Oct →
ancient6–130.0322%11 Oct →
inferno9–50.0318%11 Oct →
anubis13–8-0.0220%26 Sept →
nuke14–16-0.0023%24 Sept →
ancient0–130.0114%21 Sept →
inferno9–130.0211%21 Sept →
mirage16–120.0420%13 Sept →
inferno10–13-0.0212%8 Sept →
nuke9–7-0.0320%8 Sept →
inferno3–13-0.0422%5 Sept →
vertigo4–13-0.0248%5 Sept →
ancient9–130.0517%3 Sept →
cache13–4-0.0333%3 Sept →
mirage3–130.0129%1 Sept →
dust213–11-0.0425%1 Sept →
mirage13–50.0337%1 Sept →
mirage6–130.0223%1 Sept →
mirage13–40.0717%31 Aug →
nuke13–50.1110%31 Aug →
mirage16–13-0.0116%31 Aug →
mirage13–4-0.0119%27 Aug →
dust214–16-0.0127%26 Aug →
ancient5–2-0.0911%24 Aug →
mirage13–80.1137%24 Aug →
nuke13–9-0.0047%24 Aug →
mirage9–13-0.0433%23 Aug →
vertigo7–9-0.0740%23 Aug →
ancient13–5-0.0517%23 Aug →
mirage9–13-0.029%22 Aug →
inferno13–110.0142%22 Aug →
mirage7–13-0.0536%22 Aug →
ancient8–130.0220%21 Aug →
vertigo7–9-0.0021%21 Aug →
cache13–100.0218%21 Aug →
mirage8–3-0.0219%21 Aug →
dust213–10.2529%21 Aug →
dust211–13-0.0210%21 Aug →
ancient10–13-0.0330%20 Aug →
ancient13–8-0.0719%20 Aug →
ancient9–13-0.0127%20 Aug →
dust213–7-0.0514%20 Aug →
inferno16–12-0.0015%19 Aug →
mirage13–10.0716%19 Aug →
mirage13–80.1039%19 Aug →
ancient7–13-0.0313%12 Aug →
dust213–100.0630%12 Aug →
inferno10–13-0.0130%12 Aug →
dust213–16-0.0227%9 Aug →
dust211–13-0.0519%8 Aug →
dust211–130.0524%6 Aug →
mirage13–60.0826%6 Aug →
dust213–110.0527%6 Aug →
ancient13–7-0.0314%6 Aug →
mirage16–12-0.0327%6 Aug →
mirage9–130.0223%4 Aug →
vertigo3–9-0.1027%4 Aug →
mirage15–15-0.0019%4 Aug →
ancient4–13-0.0534%4 Aug →
cache13–80.0112%4 Aug →
mirage13–10-0.0319%4 Aug →
ancient13–70.0215%4 Aug →
dust213–80.0319%23 Jul →
nuke13–4-0.017%23 Jul →
dust213–7-0.0728%22 Jul →
mirage11–130.0230%15 Jul →
mirage13–80.0224%13 Jul →
dust29–130.0719%13 Jul →
mirage7–13-0.0013%9 Jul →
dust213–4-0.0121%9 Jul →
inferno13–160.0015%9 Jul →
dust213–2-0.0519%6 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 →

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