Slowd

Slowd — CS2 Stats

76561198197079310[U:1:236813582]Steam profile ↗✓ No bans

3,928Tracked matches58%Win rate2020Tracked since
3,487Hours in CS
CSDB Rating7.1 StrongPositional Player
Premier CS Rating25,497Top 10% of 215,558 CSDB-tracked playersRed band · top ~2.8% of ranked players (population est.)
CSDB Leaderboard#18070 of 261698 tracked
FaceitLevel 10 · 2,271 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Nov 2026 (yesterday). 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: 25,497 -12 17 Aug – 14 Nov · 14 days played
24,02126,595peak 26,59517 Aug14 Nov
26,595Peak Premier in tracked matches
2,271Highest Faceit ELO seen on CSDB
49Days played since 2026-08-16

Faceit ELO

  • At peak — 2,271
  • Next: 2,500 ELO at 2,500 — 229 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier CS Rating

  • 1,098 below peak (26,595)
  • -12 over 90 days
  • Next: Gold band at 30,000 — 4,503 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.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=31,884), 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 10 median
Headshot rate58.4%50.9%
Shot accuracy5.9%13.7%
Kill/death ratio0.891.09
Match win rate50.9%48.4%

Share this profile

CSDB.GGSlowdFACEITLevel 10 · 2,271 ELOSTANDINGTop 12.4% of rankedPREMIER25,497 · Red bandPEAK ELO2,271csdb.gg/stats

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Performance scores

Aim85
Positioning60
Utility47

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateLLLWTWTLLL

Last 10 vs previous 10: −40pp win rate · −0.06 avg rating · −6.9pp headshot accuracy · +87ms reaction

Win rate down 40pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 20%
  • Avg reaction 548ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 577ms

Last 20

  • 8–8–4 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 533ms

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 (+1.3 against its own average).

Aim8.5
Utility4.7
Positioning6.0
Opening Duels4.5
Clutch3.6

Sharp aimer

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: utility contribution, aim profile.

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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

T openings. 67% T opening-duel success — entries that actually open the round.

Areas to improve

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

CT openings. Opening success drops from 67% on T to 44% 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

Aim8.5
Positioning6.0
Utility4.7
Mechanics6.4
Opening Duels6.3
Win Impact7.6

Composite 7.1/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time524ms−7ms
first ⅓ avg 532ms → last ⅓ avg 524ms
Headshot accuracy26.3%+2.4%
first ⅓ avg 23.9% → last ⅓ avg 26.3%

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

0.17Best match rating · 9–7 · vertigo, 9 Oct →
100%Best headshot accuracy · 2–0 · inferno, 10 Sept →
359msFastest reaction time · 13–3 · ancient, 7 Sept →
13–3Biggest win · dust2, 6 Nov →

Across the last 100 tracked matches.

Highlights

8Longest win streak
L3Current streak
9–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 67% over 12anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB2010–1050%0.01
infernoA1911–858%0.02
dust2C188–1044%0.01
cacheC177–1041%-0.00
ancientS128–467%0.04
anubisD72–529%0.02
nuke—42–250%-0.01
vertigo—21–150%0.07
train—10–10%-0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

156,019Lifetime kills
0.89K/D
5,632Matches
50.9%Match win rate · Top 50% of Level 10 players
58.4%Headshot % · Top 25% of Level 10 players
5.9%Shot accuracy
17,262MVPs
3,487Hours (in match)
7,797Bombs planted
3,416Bombs defused

Most-used weapons

AK-4775,120
AWP12,145
FAMAS4,294
Knife3,977
MAC-103,933
P2503,685

Lifetime map wins

19,304inferno
9,034dust2
6,479nuke
3,620cbble
2,673vertigo
1,949train
480office
206dust

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

Faceit stats

Combat

2,924Matches
51%Win rate
1.04Avg K/D
83.0ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage62550%1.0115.9
Ancient33255%1.0416.6
Inferno32250%1.0116.6
Dust220249%0.9515.5
Nuke16746%0.9916.2
Anubis15951%1.0316.5
Cache6849%1.0617.0
Vertigo3456%1.0516.9

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.

25.8%Headshot accuracy
34.7%Accuracy (enemy spotted)
36.1%Spray accuracy
79.0%Counter-strafing
8.3°Preaim
517msReaction time
66.6%T opening success
44.1%CT opening success
0.56Enemies flashed / flash
3.6%Flash assists
7.70HE damage / grenade
5.32Flashes / match

Recommended for you

Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust22–13-0.0418%14 Nov →
cache0–13-0.108%14 Nov →
inferno10–13-0.0324%14 Nov →
dust213–11-0.0225%14 Nov →
nuke12–12-0.0127%14 Nov →
dust213–70.0018%13 Nov →
cache12–12-0.0124%13 Nov →
anubis8–130.0114%13 Nov →
train6–13-0.0227%13 Nov →
inferno3–13-0.0525%13 Nov →
mirage5–13-0.0518%13 Nov →
dust213–80.0330%13 Nov →
dust213–60.0833%10 Nov →
dust213–90.0332%10 Nov →
inferno12–120.0718%10 Nov →
anubis13–70.0924%8 Nov →
mirage12–12-0.0331%8 Nov →
ancient16–140.0229%6 Nov →
anubis6–130.0530%6 Nov →
inferno13–40.1034%6 Nov →
dust213–30.0939%6 Nov →
cache13–8-0.0130%6 Nov →
nuke13–7-0.0328%5 Nov →
ancient13–10-0.0020%5 Nov →
anubis13–70.1130%4 Nov →
inferno13–60.0929%4 Nov →
cache13–40.0344%4 Nov →
cache9–13-0.0126%4 Nov →
ancient5–130.1017%4 Nov →
mirage3–13-0.0320%3 Nov →
ancient13–90.1230%3 Nov →
cache13–110.0231%2 Nov →
dust28–13-0.0235%2 Nov →
cache10–130.1035%2 Nov →
nuke11–13-0.0326%31 Oct →
cache3–13-0.0224%31 Oct →
cache14–16-0.0422%27 Oct →
mirage2–13-0.0025%25 Oct →
inferno6–130.0127%24 Oct →
ancient13–60.0919%24 Oct →
mirage8–130.0222%22 Oct →
anubis11–13-0.0133%22 Oct →
inferno7–130.0128%22 Oct →
mirage10–130.0319%17 Oct →
inferno13–50.0928%17 Oct →
nuke13–110.0317%17 Oct →
inferno13–90.0422%11 Oct →
vertigo9–70.1742%9 Oct →
ancient14–16-0.019%6 Oct →
anubis0–13-0.1135%5 Oct →
anubis0–130.0329%5 Oct →
mirage6–130.0526%4 Oct →
inferno13–30.0028%3 Oct →
ancient13–50.0624%2 Oct →
cache10–13-0.0521%2 Oct →
mirage13–60.019%1 Oct →
mirage16–130.0122%29 Sept →
cache13–80.0523%27 Sept →
inferno13–100.0623%27 Sept →
inferno13–10-0.0417%26 Sept →
dust26–130.0422%26 Sept →
mirage10–30.1718%25 Sept →
inferno16–190.0023%23 Sept →
ancient6–130.0812%19 Sept →
mirage4–13-0.0835%18 Sept →
mirage16–190.0020%17 Sept →
inferno13–60.0124%15 Sept →
cache13–50.1525%15 Sept →
inferno9–13-0.0320%11 Sept →
inferno2–0-0.07100%10 Sept →
dust213–7-0.0325%8 Sept →
ancient13–30.0525%7 Sept →
cache0–6-0.0913%7 Sept →
dust29–130.0230%6 Sept →
inferno13–30.0726%6 Sept →
ancient13–16-0.0033%5 Sept →
cache11–130.0118%5 Sept →
cache13–100.0113%5 Sept →
dust213–90.0331%3 Sept →
dust27–13-0.0016%3 Sept →
mirage13–6-0.0216%3 Sept →
mirage13–80.0426%3 Sept →
mirage13–11-0.0017%1 Sept →
mirage13–100.0117%1 Sept →
mirage7–00.0727%1 Sept →
mirage13–110.0532%31 Aug →
dust22–4-0.035%31 Aug →
dust29–130.0023%30 Aug →
ancient13–8-0.0321%29 Aug →
cache13–10-0.0113%29 Aug →
dust21–130.0333%28 Aug →
inferno13–90.0328%27 Aug →
vertigo8–13-0.0219%27 Aug →
mirage10–130.0521%19 Aug →
inferno4–13-0.046%18 Aug →
dust210–13-0.0315%18 Aug →
mirage13–11-0.0119%17 Aug →
ancient13–50.0328%17 Aug →
dust211–130.0326%16 Aug →
cache10–13-0.0623%16 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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