tennis McQueen

tennis McQueen — CS2 Stats

ES76561198170969763[U:1:210704035]Steam profile ↗✓ No bans

955Tracked matches52%Win rate2020Tracked since
3,258Hours in CS6Hrs last 2 wks
CSDB Rating5.9 SolidPositional Player
Premier CS Rating26,763Top 5% of 175,286 CSDB-tracked playersRed band · top ~2.2% of ranked players (population est.)
CSDB Leaderboard#6623 of 220457 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 52 days played since 6 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 26,763 +2,714 7 May15 Sept · 36 days played
24,04927,598peak 27,5987 May15 Sept
27,710Peak Premier in tracked matches
52Days played since 2026-05-06

Premier CS Rating

  • 835 below peak (27,598)
  • -560 over 30 days · declining
  • +1,759 over 90 days
  • Next: Gold band at 30,000 3,237 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-01
  • Pink band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches330
Win rate33%33%0pp
K/D0.780.73+0.05
Headshot %44%47%−2pp

Measured 10 Sep 202617 Sep 2026; previous 4 Sep 2026 → 10 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=12,738), 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 8 medianLevel 9 medianvs Level 9
Headshot rate34.0%46.8%48.3%14.3% short
Shot accuracy19.1%13.0%13.2%above
Kill/death ratio1.061.061.07meets
Match win rate36.9%46.3%46.9%10.0% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGtennis McQueenFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER26,763 · Red 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

Aim80
Positioning52
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateLLWLLLWWLW

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · +4.0pp headshot accuracy · −40ms 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

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 506ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 454ms

Last 20

  • 1091 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 474ms

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 PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim8.0
Utility4.5
Positioning5.2
Opening Duels1.7
Clutch4.4

Strong CT-side openerLimited utility dependence

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

sh1ro

Plays most like sh1ro 98% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

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

T-side openings. Opening success drops from 46% on CT to 27% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim8.0
Positioning5.2
Utility4.5
Mechanics5.2
Opening Duels2.0
Win Impact5.6

Composite 5.9/10 (Solid), 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 rating-0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg -0.00
Reaction time482ms−62ms
first ⅓ avg 545ms → last ⅓ avg 482ms
Headshot accuracy21.7%−3.1%
first ⅓ avg 24.8% → last ⅓ avg 21.7%

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

0.14Best match rating · 13–5 · dust2, 10 Aug
60%Best headshot accuracy · 10–3 · office, 2 Sept
344msFastest reaction time · 2–13 · office, 2 Sept
13–0Biggest win · mirage, 19 May

Across the last 100 tracked matches.

Highlights

8Longest win streak
L2Current streak
68In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 67% over 6officeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B31151648%0.02
mirageA2112957%-0.01
nukeA127558%0.01
infernoC83538%-0.01
officeD62433%-0.01
cacheS64267%0.02
ancientD62433%-0.02
anubisC52340%-0.01
train31233%-0.00
vertigo1010%-0.01
overpass1010%-0.08

Across the last 100 tracked matches.

Lifetime stats

120,146Lifetime kills
1.06K/D
6,168Matches
36.9%Match win rate
34.0%Headshot %
19.1%Shot accuracy · Top 10% of Level 8 players
10,804MVPs
2,068Hours (in match)
5,814Bombs planted
1,087Bombs defused

Most-used weapons

AWP33,100
AK-4717,273
P906,242
SG 5534,297
AUG3,824
Knife2,421

Lifetime map wins

18,704dust2
3,002inferno
1,491nuke
1,110cbble
1,058train
267office
248vertigo
217safehouse

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

Faceit stats

Combat

277Matches
57%Win rate
1.21Avg K/D
77.2ADR
37%Headshot %

Clutches & streaks

42%1v1 clutch win
28%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust22268%1.4715.2
Ancient1560%1.2216.6
Mirage1464%1.2914.5
Nuke1070%1.2817.8
Anubis333%0.679.7
Train2100%1.4818.5
Inferno250%1.2716.0
Vertigo1100%1.4320.0

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.

21.5%Headshot accuracy
33.2%Accuracy (enemy spotted)
38.9%Spray accuracy
73.6%Counter-strafing
8.7°Preaim
483msReaction time
27.5%T opening success
45.9%CT opening success
0.49Enemies flashed / flash
3.1%Flash assists
14.98HE damage / grenade
2.34Flashes / 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 0.4934 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 27.4795% — below the 40% mark we flag

Spend your practice time on Ancient

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno5–13-0.0415%15 Sept
dust28–130.0221%15 Sept
nuke13–8-0.0118%13 Sept
nuke9–13-0.0831%7 Sept
mirage0–13-0.0133%6 Sept
office2–13-0.1143%2 Sept
office10–30.0260%2 Sept
dust213–10-0.0613%1 Sept
nuke11–13-0.0313%30 Aug
cache13–10-0.0224%30 Aug
dust211–13-0.0213%30 Aug
mirage13–50.0438%28 Aug
anubis15–15-0.0213%25 Aug
dust213–110.0911%25 Aug
mirage13–9-0.0534%23 Aug
mirage13–3-0.0913%20 Aug
dust213–10.0919%20 Aug
inferno9–130.0125%20 Aug
mirage9–13-0.0437%20 Aug
nuke13–110.1329%19 Aug
dust213–30.0624%15 Aug
ancient13–6-0.0210%15 Aug
inferno6–130.0320%12 Aug
inferno13–11-0.0314%12 Aug
mirage9–13-0.0416%12 Aug
dust25–13-0.0515%12 Aug
dust213–50.1425%10 Aug
nuke6–13-0.018%10 Aug
dust216–130.0117%10 Aug
dust29–13-0.0122%8 Aug
mirage13–80.049%8 Aug
mirage5–13-0.0720%6 Aug
inferno7–13-0.0513%6 Aug
dust213–100.0714%5 Aug
ancient11–13-0.0217%5 Aug
ancient5–13-0.0216%4 Aug
mirage2–13-0.0223%4 Aug
cache6–130.1037%4 Aug
dust29–130.0326%4 Aug
nuke4–13-0.0313%4 Aug
dust213–80.0133%4 Aug
vertigo4–13-0.0115%3 Aug
dust212–16-0.0336%3 Aug
mirage16–120.0429%3 Aug
cache13–40.0225%2 Aug
dust215–15-0.0313%2 Aug
dust213–100.0814%2 Aug
nuke6–13-0.0112%2 Aug
mirage13–110.0418%31 Jul
dust28–130.0245%31 Jul
mirage7–13-0.0418%28 Jul
dust21–13-0.0411%28 Jul
anubis13–30.0631%27 Jul
ancient1–13-0.0632%26 Jul
anubis6–13-0.0513%26 Jul
mirage13–5-0.0022%26 Jul
anubis3–13-0.0710%25 Jul
nuke13–70.0213%23 Jul
dust213–100.0312%23 Jul
inferno13–5-0.0320%23 Jul
inferno5–130.0424%22 Jul
mirage13–11-0.0328%22 Jul
nuke13–90.0332%22 Jul
mirage11–13-0.0117%22 Jul
dust213–6-0.0715%22 Jul
dust29–130.0218%15 Jul
office12–120.0015%14 Jul
office13–90.0633%14 Jul
inferno13–9-0.0318%14 Jul
ancient13–100.0714%14 Jul
nuke13–70.0323%12 Jul
dust213–60.0629%12 Jul
cache13–90.0014%4 Jul
cache13–2-0.0218%1 Jul
mirage13–9-0.0119%30 Jun
dust23–13-0.0224%30 Jun
nuke13–90.0520%30 Jun
dust23–13-0.0135%27 Jun
overpass6–13-0.0818%25 Jun
train13–70.038%22 Jun
train4–13-0.0230%22 Jun
mirage8–13-0.0117%18 Jun
train10–13-0.0217%17 Jun
dust213–100.0130%11 Jun
mirage13–80.0728%10 Jun
ancient5–13-0.0922%7 Jun
dust214–160.0643%2 Jun
anubis13–100.0432%30 May
mirage11–130.0313%27 May
dust213–20.0425%24 May
office8–13-0.0148%19 May
mirage13–110.0210%19 May
mirage13–00.010%19 May
dust215–150.0533%18 May
office12–12-0.0357%15 May
dust213–160.1041%15 May
dust213–30.0535%8 May
nuke13–70.0311%8 May
dust211–130.0232%7 May
cache11–130.0524%6 May

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 →