Speedy

Speedy — CS2 Stats

DE76561198301468589[U:1:341202861]Steam profile ↗✓ No bans

1,831Tracked matches55%Win rate2020Tracked since
5,011Hours in CS7Hrs last 2 wks
CSDB Rating5.5 SolidSupport
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (28 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,791 → 1,791
+11Tracked matches · now 1,831
+5.2ppWin rate · 50.0% → 55.2%

Rating over time

Premier CS Rating: 26,528 +35 4 Jun – 27 Jun · 2 days played
26,49326,528peak 26,5284 Jun27 Jun
26,648Peak Premier in tracked matches
1,791Highest Faceit ELO seen on CSDB
47Days played since 2026-04-29

Faceit ELO

  • At peak — 1,791
  • Next: Level 10 at 2,001 — 210 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-04
  • Level 8 first seen 2026-09-04

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 30 days vs previous 30

MetricLast 30Previous 30Change
Matches27——
Win rate59%——
K/D3.32——
Headshot %75%——

Measured 31 Aug 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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.

Share this profile

CSDB.GGSpeedyPEAK ELO1,791csdb.gg/stats

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Performance scores

Aim79
Positioning32
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY54–40–6Last 10054%Win rateLWWWTWLWLL

Last 10 vs previous 10: −10pp win rate · +0.02 avg rating · −3.3pp headshot accuracy · +18ms reaction

Win rate −10pp 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 508ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 524ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 515ms

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 (+3 against its own average).

Aim7.9
Utility6.0
Positioning3.2
Opening Duels0.1
Clutch2.8

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

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 46 points — deaths here waste a strong aim profile.

Reaction time. 561ms 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

Aim7.9
Positioning3.2
Utility6.0
Mechanics8.0
Opening Duels0.6
Win Impact6.7

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time553ms−89ms
first ⅓ avg 643ms → last ⅓ avg 553ms
Headshot accuracy16.5%−2.6%
first ⅓ avg 19.0% → last ⅓ avg 16.5%

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

0.18Best match rating · 13–1 · cache, 18 May →
50%Best headshot accuracy · 0–1 · dust2, 30 Jun →
344msFastest reaction time · 5–13 · nuke, 25 Jul →
13–0Biggest win · inferno, 29 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
7–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 64% over 11nukeWeakest map · 38% over 13
MapGradePlayedRecordWin rateAvg rating
dust2A2212–1055%-0.01
cacheA1610–663%0.03
nukeC135–838%-0.03
mirageA117–464%0.03
overpassA106–460%0.01
anubisC94–544%0.01
ancientA53–260%-0.01
inferno—41–325%0.03
aztec_hr—22–0100%0.01
vertigo—22–0100%0.04
train—21–150%0.05
cbble—10–10%-0.05
fachwerk—10–10%-0.03
boulder—11–0100%0.00
shelter—10–10%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

126,694Lifetime kills
1.10K/D · Top 50% of tracked players
4,984Matches
50.1%Match win rate · Top 25% of tracked players
50.3%Headshot % · Top 25% of tracked players
14.7%Shot accuracy · Top 50% of tracked players
16,515MVPs
3,590Hours (in match)
5,665Bombs planted
1,774Bombs defused

Most-used weapons

AK-4759,422
AWP9,384
FAMAS2,762
MP91,928
P2501,835

Lifetime map wins

10,226inferno
6,325dust2
5,777nuke
3,124vertigo
1,795train
887cbble
194lake
62office

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

Faceit stats

Combat

1,874Matches
51%Win rate
0.93Avg K/D
70.8ADR
42%Headshot %

Clutches & streaks

34%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient12253%0.9513.4
Anubis7246%0.8012.6
Nuke6351%0.8813.7
Dust26060%1.0413.9
Inferno5437%0.8312.7
Mirage4032%0.9713.9
Overpass2843%0.9713.5
Vertigo2330%0.8413.7

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.

16.4%Headshot accuracy
35.9%Accuracy (enemy spotted)
38.4%Spray accuracy
86.2%Counter-strafing
9.1°Preaim
561msReaction time
23.1%T opening success
34.6%CT opening success
0.60Enemies flashed / flash
6.4%Flash assists
8.17HE damage / grenade
12.67Flashes / 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

    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 23.0834% — below the 40% mark we flag

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

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0518%20 Sept →
nuke13–4-0.0215%12 Sept →
cache13–8-0.0117%11 Sept →
ancient13–3-0.046%11 Sept →
overpass12–120.0113%5 Sept →
ancient13–60.0614%5 Sept →
anubis11–13-0.018%3 Sept →
cache13–100.1024%3 Sept →
inferno8–130.0016%3 Sept →
dust29–130.0119%2 Sept →
cache11–13-0.0025%1 Sept →
dust213–6-0.0521%1 Sept →
mirage4–13-0.0717%29 Aug →
anubis16–14-0.0111%29 Aug →
inferno13–00.0723%29 Aug →
ancient8–13-0.0321%23 Aug →
dust216–13-0.0013%19 Aug →
cbble13–16-0.0520%8 Aug →
aztec_hr13–110.0317%8 Aug →
aztec_hr13–80.0016%8 Aug →
dust219–16-0.0214%5 Aug →
ancient11–13-0.0510%29 Jul →
mirage11–130.0215%29 Jul →
anubis13–80.0519%29 Jul →
dust213–100.0611%28 Jul →
dust213–40.0520%28 Jul →
dust27–13-0.0527%28 Jul →
mirage13–100.0311%27 Jul →
dust29–130.0322%26 Jul →
nuke2–13-0.0317%26 Jul →
nuke5–13-0.0418%25 Jul →
cache13–10-0.038%25 Jul →
mirage16–130.1019%21 Jul →
dust26–13-0.0714%21 Jul →
overpass10–20.0623%21 Jul →
nuke9–13-0.0521%20 Jul →
dust29–13-0.0220%20 Jul →
cache7–10.1622%20 Jul →
cache4–13-0.0325%18 Jul →
overpass7–10.035%18 Jul →
dust213–8-0.0119%18 Jul →
fachwerk6–13-0.0330%9 Jul →
boulder13–70.0021%9 Jul →
shelter1–13-0.0315%9 Jul →
dust20–1-0.0550%30 Jun →
dust213–7-0.0119%28 Jun →
dust211–13-0.0127%28 Jun →
mirage13–40.1536%28 Jun →
anubis6–13-0.076%27 Jun →
nuke13–8-0.0413%27 Jun →
cache5–13-0.0922%27 Jun →
dust213–8-0.0319%27 Jun →
anubis3–13-0.0521%27 Jun →
dust213–11-0.0216%27 Jun →
ancient19–160.0417%23 Jun →
anubis13–110.1118%22 Jun →
inferno6–130.0631%22 Jun →
mirage7–13-0.0225%21 Jun →
overpass12–120.0716%20 Jun →
dust211–130.0228%20 Jun →
nuke12–12-0.0321%20 Jun →
dust23–00.0450%20 Jun →
anubis10–130.0226%20 Jun →
nuke13–40.0322%14 Jun →
cache13–9-0.0120%14 Jun →
mirage3–13-0.0415%4 Jun →
nuke2–13-0.0821%4 Jun →
mirage13–40.0717%4 Jun →
dust211–13-0.0217%3 Jun →
anubis12–120.1126%1 Jun →
overpass3–13-0.0424%1 Jun →
nuke3–130.0013%31 May →
inferno6–130.005%31 May →
dust216–130.0412%29 May →
nuke8–130.0123%29 May →
mirage13–70.0724%26 May →
dust213–4-0.0313%26 May →
mirage13–110.0118%25 May →
vertigo13–90.1124%25 May →
cache13–30.0619%25 May →
train12–120.0119%22 May →
cache13–10.1826%18 May →
cache12–120.0225%16 May →
cache13–60.0417%15 May →
overpass13–50.0130%15 May →
train13–60.0915%15 May →
vertigo13–2-0.0213%15 May →
mirage16–140.0111%12 May →
overpass13–50.0316%10 May →
anubis13–11-0.0320%10 May →
overpass13–8-0.0118%10 May →
nuke9–30.005%9 May →
cache6–13-0.0234%4 May →
cache13–80.0025%4 May →
overpass13–7-0.0219%4 May →
nuke13–9-0.0423%4 May →
overpass5–13-0.0325%4 May →
nuke4–13-0.0619%2 May →
cache6–13-0.0119%30 Apr →
cache13–60.0817%29 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 →

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