SpindLPicks

SpindLPicks — CS2 Stats

US76561198853519936[U:1:893254208]Steam profile ↗✓ No bans

205Tracked matches27%Win rate2020Tracked since
CSDB Rating2.0 LearningSupport
WingmanSilver Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (32 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 205 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 3,247 -4,007 14 Jun – 24 Nov · 22 days played
2,1068,189peak 8,18914 Jun24 Nov
8,189Peak Premier in tracked matches
50Days played since 2024-06-14

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim14
Positioning27
Utility35

0–100 skill scores via Leetify.

Recent form

COLD27–71–2Last 10027%Win rateLLLLLLWLLW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +0.4pp headshot accuracy · −70ms 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

  • 0–5 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 714ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 716ms

Last 20

  • 5–15 · 25% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 12%
  • Avg reaction 751ms

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 (+1.4 against its own average).

Aim1.4
Utility3.5
Positioning2.7
Opening Duels0.0

Limited 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 64% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Reaction time. 769ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.4
Positioning2.7
Utility3.5
Mechanics3.5
Opening Duels0.0
Win Impact0.0

Composite 2.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.06−0.02
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time742ms+8ms
first ⅓ avg 734ms → last ⅓ avg 742ms
Headshot accuracy12.4%+2.0%
first ⅓ avg 10.4% → last ⅓ avg 12.4%

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

0.08Best match rating · 11–13 · anubis, 20 Jun →
32%Best headshot accuracy · 6–9 · nuke, 26 Oct →
469msFastest reaction time · 9–2 · poseidon, 13 May →
13–2Biggest win · train, 3 Nov →

Across the last 100 tracked matches.

Highlights

2Longest win streak
L6Current streak
6–13In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 33% over 18dust2Weakest map · 14% over 14
MapGradePlayedRecordWin rateAvg rating
mirageD186–1233%-0.04
infernoD186–1233%-0.05
trainD163–1319%-0.04
dust2D142–1214%-0.05
overpassD103–730%-0.05
ancientD72–529%-0.03
anubis—41–325%-0.03
cache—41–325%-0.08
vertigo—20–20%-0.12
nuke—21–150%-0.10
warden—10–10%-0.05
poseidon—11–0100%-0.08
office—10–10%-0.09
golden—11–0100%0.00
edin—10–10%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 14). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.1%Headshot accuracy
27.5%Accuracy (enemy spotted)
26.8%Spray accuracy
65.7%Counter-strafing
12.1°Preaim
769msReaction time
16.7%T opening success
22.8%CT opening success
0.51Enemies flashed / flash
2.8%Flash assists
8.45HE damage / grenade
4.17Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.0603° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.1091% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 768.8237ms — above the 700ms mark we flag

    Aim Training →
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.

14% win rate across 14 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
anubis13–16-0.0811%16 May →
ancient4–13-0.0611%16 May →
ancient9–130.0210%15 May →
dust24–13-0.078%15 May →
mirage7–13-0.0125%15 May →
warden6–13-0.056%14 May →
overpass13–9-0.0510%14 May →
inferno13–16-0.0314%14 May →
mirage7–13-0.1119%14 May →
poseidon9–2-0.088%13 May →
cache5–13-0.0916%8 May →
cache13–5-0.0313%8 May →
office8–13-0.0911%8 May →
cache2–13-0.1314%8 May →
cache8–13-0.0814%28 Apr →
vertigo3–13-0.180%3 Jan →
anubis13–9-0.0717%2 Jan →
dust29–13-0.0423%31 Dec →
dust29–13-0.068%31 Dec →
ancient16–14-0.024%24 Nov →
overpass3–13-0.0817%11 Nov →
dust214–16-0.068%11 Nov →
inferno2–13-0.0712%6 Nov →
mirage4–130.0215%6 Nov →
overpass13–11-0.048%5 Nov →
dust211–130.0216%3 Nov →
train13–20.0412%3 Nov →
dust213–6-0.0613%1 Nov →
inferno5–9-0.1710%1 Nov →
dust28–13-0.069%30 Oct →
mirage5–3-0.090%30 Oct →
train5–13-0.0417%30 Oct →
nuke6–9-0.1732%26 Oct →
inferno8–8-0.0112%26 Oct →
train11–13-0.0314%26 Oct →
nuke13–3-0.037%25 Oct →
train10–13-0.057%25 Oct →
inferno15–15-0.0116%25 Oct →
mirage11–13-0.0611%25 Oct →
mirage9–13-0.033%24 Oct →
overpass6–13-0.0316%24 Oct →
dust211–13-0.0313%24 Oct →
train6–13-0.048%24 Oct →
dust24–13-0.0723%24 Oct →
inferno13–11-0.0512%23 Oct →
dust28–13-0.023%23 Oct →
mirage13–40.0616%23 Oct →
mirage6–13-0.0521%23 Oct →
dust213–10-0.0315%21 Oct →
dust28–13-0.0911%21 Oct →
inferno2–9-0.3015%21 Oct →
inferno9–50.0113%21 Oct →
overpass10–13-0.1018%21 Oct →
mirage8–13-0.0615%20 Oct →
inferno13–11-0.017%20 Oct →
inferno9–13-0.056%11 Oct →
overpass9–13-0.052%10 Oct →
mirage13–10-0.0617%10 Oct →
overpass2–13-0.0210%10 Oct →
golden13–60.0017%8 Oct →
mirage10–13-0.063%22 Sept →
dust211–13-0.0529%22 Sept →
overpass13–7-0.028%17 Sept →
train9–13-0.0215%17 Sept →
inferno13–5-0.0914%14 Sept →
overpass7–13-0.0424%14 Sept →
overpass5–13-0.0413%2 Sept →
inferno11–13-0.038%29 Aug →
mirage13–80.0613%29 Aug →
train10–13-0.0319%29 Aug →
mirage10–13-0.0512%24 Aug →
inferno11–13-0.057%24 Aug →
inferno4–13-0.0413%15 Aug →
mirage4–13-0.036%15 Aug →
ancient3–13-0.0617%15 Aug →
train13–8-0.034%14 Feb →
train3–13-0.056%12 Feb →
inferno14–160.0015%4 Dec →
inferno16–12-0.0311%4 Dec →
train10–13-0.0715%24 Nov →
edin6–13-0.0511%24 Nov →
train10–13-0.097%23 Nov →
train7–13-0.022%23 Nov →
train1–13-0.094%20 Nov →
train13–8-0.0415%17 Nov →
train11–13-0.0713%14 Nov →
train7–13-0.062%14 Nov →
dust27–13-0.1214%28 Oct →
mirage13–11-0.105%7 Oct →
ancient11–13-0.058%7 Oct →
vertigo8–13-0.0516%4 Oct →
anubis10–13-0.0411%20 Sept →
ancient7–13-0.059%20 Sept →
inferno13–7-0.0216%3 Aug →
mirage4–13-0.067%4 Jul →
inferno1–13-0.0216%4 Jul →
anubis11–130.0815%20 Jun →
mirage13–5-0.0210%19 Jun →
ancient16–120.0110%15 Jun →
mirage11–130.019%14 Jun →

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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