SingleHandedly

SingleHandedly — CS2 Stats

VA76561198258210292[U:1:297944564]Steam profile ↗✓ No bans

478Tracked matches48%Win rate2021Tracked since
1,280Hours in CS1Hrs last 2 wks
CSDB Rating4.9 DevelopingPositional Player
Premier CS Rating25,911Top 10% of 210,367 CSDB-tracked playersRed band · top ~2.6% of ranked players (population est.)
CSDB Leaderboard#13861 of 257426 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (14 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.

Rating over time

Premier CS Rating: 25,911 +7,511 28 May – 11 Oct · 23 days played
17,74725,911peak 25,91128 May11 Oct
25,911Peak Premier in tracked matches
41Days played since 2026-05-28

Premier CS Rating

  • At peak — 25,911
  • +238 over 30 days · steady
  • +5,005 over 90 days
  • Next: Gold band at 30,000 — 4,089 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches41+3
Win rate75%0%+75pp
K/D0.980.50+0.48
Headshot %59%29%+30pp

Measured 24 Sep 2026 → 25 Oct 2026; previous 28 Aug 2026 → 24 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 3 among CSDB-tracked players (n=10,492), 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 3 medianLevel 4 medianvs Level 4
Headshot rate45.0%41.8%42.7%above
Shot accuracy14.4%12.2%11.2%above
Kill/death ratio0.970.980.990.02 short
Match win rate45.2%43.3%43.9%above

This profile matches the typical Level 4 player on 3 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGSingleHandedlyFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER25,911 · 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

Aim60
Positioning44
Utility23

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWWLLTTWWL

Last 10 vs previous 10: −10pp win rate · −0.05 avg rating · −8.3pp headshot accuracy · +31ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 623ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 603ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 588ms

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 (+1.9 against its own average).

Aim6.0
Utility2.3
Positioning4.4
Opening Duels3.3
Clutch0.0

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

donk

Plays most like donk 95% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; 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

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 51% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim6.0
Positioning4.4
Utility2.3
Mechanics6.0
Opening Duels2.6
Win Impact4.4

Composite 4.9/10 (Developing), 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-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time604ms+7ms
first ⅓ avg 597ms → last ⅓ avg 604ms
Headshot accuracy18.0%+1.0%
first ⅓ avg 16.9% → last ⅓ avg 18.0%

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

0.19Best match rating · 13–2 · inferno, 2 Jul →
56%Best headshot accuracy · 7–13 · mirage, 13 Aug →
406msFastest reaction time · 13–11 · inferno, 28 Jul →
13–0Biggest win · inferno, 23 Aug →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

anubisBest map · 100% over 6ancientWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB3014–1647%-0.00
dust2A159–660%-0.01
ancientC145–936%0.01
infernoB147–750%0.01
cacheS86–275%-0.04
nukeS64–267%0.00
anubisS66–0100%-0.04
train—20–20%-0.07
shelter—21–150%0.02
vertigo—20–20%-0.06
boulder—10–10%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,653Lifetime kills
0.97K/D
1,589Matches
45.2%Match win rate · Top 50% of Level 3 players
45.0%Headshot % · Top 50% of Level 3 players
14.4%Shot accuracy · Top 50% of Level 3 players
3,140MVPs
744Hours (in match)
2,130Bombs planted
402Bombs defused

Most-used weapons

Lifetime map wins

5,279dust2
2,424inferno
833nuke
300train
225cbble
178vertigo
153office
65shorttrain

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

Faceit stats

Combat

19Matches
37%Win rate
0.50Avg K/D
61.0ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
3Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%0.829.0
Ancient10%0.8214.0
Nuke10%0.6312.0
Mirage10%0.386.0

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.

17.5%Headshot accuracy
32.7%Accuracy (enemy spotted)
36.0%Spray accuracy
77.1%Counter-strafing
10.1°Preaim
613msReaction time
29.8%T opening success
50.8%CT opening success
0.33Enemies flashed / flash
5.3%Flash assists
6.30HE damage / grenade
3.31Flashes / 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 0.3297 — 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 29.8094% — 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.

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–130.0013%25 Oct →
cache13–7-0.0514%11 Oct →
cache13–3-0.0319%11 Oct →
dust24–13-0.0723%12 Sept →
mirage8–13-0.0413%27 Aug →
nuke12–12-0.097%27 Aug →
cache12–12-0.0816%26 Aug →
mirage13–2-0.0611%26 Aug →
mirage13–90.0427%23 Aug →
ancient7–13-0.0410%23 Aug →
inferno13–00.0423%23 Aug →
mirage13–30.0423%23 Aug →
dust213–110.0318%23 Aug →
dust23–13-0.0121%18 Aug →
mirage2–13-0.138%17 Aug →
mirage7–13-0.1256%13 Aug →
mirage13–40.1920%10 Aug →
mirage13–110.0434%9 Aug →
mirage9–130.0417%8 Aug →
train3–13-0.0616%8 Aug →
mirage8–13-0.0214%5 Aug →
dust213–6-0.0716%5 Aug →
cache12–12-0.0514%1 Aug →
ancient7–13-0.0613%1 Aug →
cache16–140.0321%1 Aug →
mirage3–130.019%1 Aug →
shelter8–13-0.0311%31 Jul →
shelter13–30.0716%31 Jul →
nuke13–20.029%31 Jul →
dust27–13-0.048%31 Jul →
inferno13–7-0.048%29 Jul →
inferno13–11-0.0337%28 Jul →
ancient13–50.0429%28 Jul →
cache16–130.0216%28 Jul →
dust213–80.0448%21 Jul →
vertigo12–12-0.075%11 Jul →
mirage4–13-0.110%11 Jul →
anubis13–8-0.0110%10 Jul →
mirage2–13-0.0510%10 Jul →
boulder11–13-0.0411%10 Jul →
vertigo2–13-0.0612%10 Jul →
inferno9–130.0111%10 Jul →
inferno13–80.0017%5 Jul →
ancient13–30.0611%4 Jul →
ancient7–130.0030%2 Jul →
inferno13–20.1940%2 Jul →
ancient9–130.0537%2 Jul →
mirage7–13-0.0419%29 Jun →
inferno9–20.0839%26 Jun →
nuke13–20.1742%26 Jun →
dust213–50.0754%22 Jun →
anubis13–10-0.0217%21 Jun →
mirage13–80.0945%21 Jun →
cache13–7-0.0514%14 Jun →
mirage6–13-0.096%14 Jun →
dust29–130.0313%14 Jun →
mirage8–13-0.0213%14 Jun →
inferno13–16-0.0418%13 Jun →
inferno13–100.0219%13 Jun →
inferno13–16-0.049%13 Jun →
dust213–4-0.0511%12 Jun →
ancient15–150.0730%11 Jun →
mirage13–60.1950%11 Jun →
ancient9–130.0342%8 Jun →
mirage13–50.0616%7 Jun →
train6–13-0.0813%7 Jun →
inferno8–130.0022%7 Jun →
cache13–10-0.0914%7 Jun →
dust213–50.0212%7 Jun →
mirage13–30.099%6 Jun →
nuke13–3-0.0029%6 Jun →
ancient10–13-0.0433%6 Jun →
mirage14–16-0.0914%5 Jun →
anubis13–11-0.068%5 Jun →
mirage13–8-0.0414%5 Jun →
dust23–13-0.0819%4 Jun →
anubis13–8-0.1016%4 Jun →
anubis13–70.0313%4 Jun →
dust213–10-0.0610%3 Jun →
ancient13–40.0127%31 May →
mirage14–16-0.067%31 May →
mirage11–13-0.0719%31 May →
nuke13–7-0.0614%30 May →
anubis13–11-0.0813%30 May →
mirage13–9-0.028%30 May →
dust213–4-0.0119%30 May →
ancient11–130.0728%30 May →
mirage8–20.0137%30 May →
dust213–60.1243%30 May →
dust28–13-0.0213%29 May →
mirage13–50.0210%29 May →
ancient13–6-0.0112%29 May →
mirage11–130.027%29 May →
inferno6–13-0.0818%29 May →
inferno6–13-0.0020%29 May →
ancient7–13-0.1019%28 May →
ancient13–2-0.0120%28 May →
inferno9–13-0.0414%28 May →
nuke13–16-0.0211%28 May →
mirage13–90.058%28 May →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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