SpeeDonk

SpeeDonk — CS2 Stats

AT76561198264232889[U:1:303967161]Steam profile ↗✓ No bans

1,681Tracked matches57%Win rate2023Tracked since
1,943Hours in CS1Hrs last 2 wks
CSDB Rating7.1 StrongPositional Player
Premier CS Rating22,631Top 25% of 215,558 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#48891 of 261689 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (75 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,631 → 22,631
+7Tracked matches · now 1,681
+7.1ppWin rate · 50.0% → 57.1%

Rating over time

Premier CS Rating: 22,631 +0 27 Jul – 1 Sept · 5 days played
22,63122,631peak 22,63127 Jul1 Sept
22,631Peak Premier in tracked matches
17Days played since 2026-07-09

Premier CS Rating

  • At peak — 22,631
  • 0 over 30 days · steady
  • Next: Red band at 25,000 — 2,369 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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=42,632), 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 rate48.2%46.9%49.3%1.1% short
Shot accuracy4.0%13.0%13.3%9.3% short
Kill/death ratio1.251.081.12above
Match win rate53.5%46.7%48.5%above

This profile matches the typical Red band player on 2 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.GGSpeeDonkPREMIER22,631 · Pink bandcsdb.gg/stats

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Performance scores

Aim84
Positioning70
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY58–36–6Last 10058%Win rateLWLLWLWWWL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −0.7pp headshot accuracy · +29ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 569ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 594ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 21%
  • Avg reaction 579ms

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 (+1.7 against its own average).

Aim8.4
Utility5.5
Positioning7.0
Opening Duels6.1
Clutch2.6

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

m0NESY

Plays most like m0NESY 95% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower 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

Areas to improve

T-side openings. Opening success drops from 60% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 592ms 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

Aim8.4
Positioning7.0
Utility5.5
Mechanics6.9
Opening Duels4.5
Win Impact7.4

Composite 7.1/10 (Strong), 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 rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time589ms+28ms
first ⅓ avg 561ms → last ⅓ avg 589ms
Headshot accuracy20.8%−0.9%
first ⅓ avg 21.7% → last ⅓ avg 20.8%

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

0.24Best match rating · 13–3 · ancient, 30 Jul →
80%Best headshot accuracy · 1–13 · nuke, 27 Jul →
375msFastest reaction time · 0–13 · shelter, 14 Jul →
13–0Biggest win · mirage, 1 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
3–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 100% over 6dust2Weakest map · 44% over 25
MapGradePlayedRecordWin rateAvg rating
dust2C2511–1444%0.03
mirageB157–847%0.05
cacheA159–660%0.03
infernoS128–467%0.03
nukeA95–456%0.05
anubisS66–0100%0.04
ancient—43–175%0.09
vertigo—42–250%0.00
overpass—33–0100%0.03
shelter—31–233%-0.00
boulder—21–150%0.06
train—11–0100%0.03
fachwerk—11–0100%0.06

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (44% over 25). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,162Lifetime kills
1.25K/D · Top 25% of Pink band
3,270Matches
53.5%Match win rate · Top 10% of Pink band
48.2%Headshot % · Top 50% of Pink band
4.0%Shot accuracy
7,387MVPs
1,189Hours (in match)
2,430Bombs planted
554Bombs defused

Most-used weapons

Lifetime map wins

10,263dust2
3,638inferno
2,081vertigo
1,444nuke
560train
479office
112italy
70cbble

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

Faceit stats

Combat

21Matches
95%Win rate
2.02Avg K/D
103.2ADR
40%Headshot %

Clutches & streaks

33%1v1 clutch win
14%1v2 clutch win
20Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Dust26100%1.7417.0
Mirage580%2.9725.0
Anubis3100%1.1524.7
Inferno2100%2.0513.5
Vertigo2100%2.0422.0
Ancient2100%1.7216.0
Nuke1100%2.0018.0

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.

19.7%Headshot accuracy
38.4%Accuracy (enemy spotted)
41.1%Spray accuracy
80.8%Counter-strafing
7.8°Preaim
592msReaction time
36.4%T opening success
59.7%CT opening success
0.65Enemies flashed / flash
5.6%Flash assists
11.21HE damage / grenade
12.95Flashes / 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 36.3893% — below the 40% mark we flag

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.

44% win rate across 25 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
mirage3–13-0.0017%31 Oct →
inferno13–90.0214%31 Oct →
dust210–130.0523%31 Oct →
cache10–13-0.0215%31 Oct →
mirage13–20.0532%31 Oct →
dust22–130.0331%31 Oct →
inferno13–20.0218%31 Oct →
anubis13–20.0721%3 Aug →
nuke13–70.1216%3 Aug →
cache10–130.0823%3 Aug →
dust213–80.1219%3 Aug →
inferno12–120.0317%3 Aug →
mirage6–10.1020%3 Aug →
inferno10–40.0322%1 Aug →
cache4–00.0438%1 Aug →
mirage13–00.1012%1 Aug →
ancient7–13-0.0113%1 Aug →
dust211–130.0037%1 Aug →
mirage3–90.0527%30 Jul →
nuke10–130.0112%30 Jul →
inferno13–20.0840%30 Jul →
dust213–70.0511%30 Jul →
cache12–120.0724%30 Jul →
ancient13–30.2417%30 Jul →
vertigo1–9-0.0314%29 Jul →
mirage13–110.0314%29 Jul →
anubis13–4-0.0014%29 Jul →
dust211–13-0.0213%29 Jul →
ancient13–100.0817%27 Jul →
cache5–13-0.0121%27 Jul →
inferno6–13-0.0011%27 Jul →
dust25–130.0121%27 Jul →
dust21–13-0.1140%27 Jul →
dust213–10.0729%27 Jul →
nuke1–13-0.0680%27 Jul →
dust27–13-0.0233%24 Jul →
dust20–13-0.0433%24 Jul →
dust213–70.059%24 Jul →
cache13–3-0.0018%24 Jul →
vertigo13–80.0324%23 Jul →
cache13–50.1123%23 Jul →
mirage13–90.039%23 Jul →
dust213–110.0021%23 Jul →
inferno13–60.0524%23 Jul →
nuke6–130.0211%23 Jul →
dust29–130.0120%23 Jul →
dust213–100.0322%22 Jul →
nuke13–60.0017%22 Jul →
overpass13–9-0.0217%22 Jul →
anubis13–70.1615%22 Jul →
cache13–50.0324%22 Jul →
train13–20.0316%22 Jul →
nuke13–100.0220%21 Jul →
dust213–70.0623%21 Jul →
mirage5–13-0.0329%21 Jul →
anubis13–90.0312%21 Jul →
cache13–40.0221%21 Jul →
overpass13–100.0320%21 Jul →
mirage13–70.0517%20 Jul →
dust29–130.0217%20 Jul →
cache0–13-0.040%20 Jul →
inferno16–120.0627%20 Jul →
dust213–20.0318%20 Jul →
anubis13–90.048%20 Jul →
dust213–30.0628%20 Jul →
anubis13–5-0.0415%16 Jul →
inferno13–10-0.0317%16 Jul →
cache13–6-0.0328%16 Jul →
vertigo6–130.0124%16 Jul →
dust212–120.1425%16 Jul →
mirage12–120.0216%16 Jul →
dust211–13-0.0322%15 Jul →
ancient13–80.0515%15 Jul →
mirage6–130.0125%15 Jul →
overpass7–10.0930%15 Jul →
cache13–20.0617%15 Jul →
nuke11–130.0924%15 Jul →
dust24–130.0013%14 Jul →
mirage13–100.0622%14 Jul →
shelter7–13-0.0120%14 Jul →
shelter0–13-0.0213%14 Jul →
fachwerk13–40.0624%14 Jul →
boulder13–50.1316%14 Jul →
nuke13–30.2328%13 Jul →
mirage12–120.1416%13 Jul →
dust213–70.0823%13 Jul →
cache13–40.0725%13 Jul →
vertigo12–60.0012%13 Jul →
inferno7–130.0415%13 Jul →
dust28–13-0.0324%10 Jul →
cache13–50.1022%10 Jul →
inferno11–130.0420%10 Jul →
mirage12–120.0515%10 Jul →
boulder2–13-0.0237%10 Jul →
shelter13–50.0223%10 Jul →
nuke13–40.0341%10 Jul →
cache10–130.0118%10 Jul →
dust213–30.0935%10 Jul →
inferno13–110.0417%9 Jul →
mirage5–40.1314%9 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 →

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