AnkleGrinder

AnkleGrinder — CS2 Stats

DK76561199046283146[U:1:1086017418]Steam profile ↗✓ No bans

199Tracked matches68%Win rate2021Tracked since
CSDB Rating6.9 SolidAll-Rounder
WingmanLegendary Eagle
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 17,040 +529 26 Mar – 30 Jun · 10 days played
12,51817,040peak 17,04026 Mar30 Jun
17,040Peak Premier in tracked matches
47Days played since 2025-03-14

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

Performance scores

Aim76
Positioning58
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLWWWLWTWWL

Last 10 vs previous 10: −10pp win rate · −0.04 avg rating · −6.0pp headshot accuracy · −170ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 27%
  • Avg reaction 550ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 581ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 26%
  • Avg reaction 665ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.6
Utility5.8
Positioning5.8
Opening Duels5.5

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

device

Plays most like device 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: 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. 664ms 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

Aim7.6
Positioning5.8
Utility5.8
Mechanics7.8
Opening Duels4.4
Win Impact10.0

Composite 6.9/10 (Solid), 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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time674ms−63ms
first ⅓ avg 737ms → last ⅓ avg 674ms
Headshot accuracy23.7%−4.4%
first ⅓ avg 28.1% → last ⅓ avg 23.7%

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

0.20Best match rating · 10–13 · office, 8 Apr →
71%Best headshot accuracy · 7–13 · office, 8 Aug →
469msFastest reaction time · 13–10 · inferno, 27 Oct →
13–0Biggest win · anubis, 9 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 71% over 7mirageWeakest map · 40% over 20
MapGradePlayedRecordWin rateAvg rating
officeB2614–1254%0.04
dust2C2410–1442%-0.01
mirageC208–1240%-0.00
infernoB126–650%-0.00
nukeS75–271%0.04
ancient—41–325%-0.06
anubis—33–0100%0.01
overpass—22–0100%0.03
train—21–150%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 20). Start with the 5 essential Mirage 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.

23.0%Headshot accuracy
36.4%Accuracy (enemy spotted)
37.4%Spray accuracy
85.2%Counter-strafing
9.5°Preaim
664msReaction time
47.3%T opening success
48.2%CT opening success
0.59Enemies flashed / flash
13.3%Flash assists
6.53HE damage / grenade
10.33Flashes / match

Recommended for you

Spend your practice time on Mirage

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

40% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0923%9 Oct →
anubis13–2-0.0326%9 Oct →
anubis13–00.0139%9 Oct →
office13–6-0.0219%4 Sept →
office10–13-0.0226%3 Sept →
office13–5-0.0230%3 Sept →
office12–120.0110%4 Aug →
office13–40.0122%4 Aug →
inferno13–50.0922%28 Jul →
dust22–13-0.0310%23 Jul →
mirage13–20.0828%20 Jul →
mirage13–110.0413%30 Jun →
dust213–11-0.0315%30 Jun →
mirage9–20.1425%28 Jun →
nuke1–50.1250%28 Jun →
dust28–130.0724%28 Jun →
inferno13–20.0724%28 Jun →
mirage4–13-0.0519%28 Jun →
ancient13–9-0.0545%28 Jun →
dust213–3-0.0545%23 Jun →
mirage1–13-0.0419%23 Jun →
overpass13–40.0214%22 Jun →
mirage13–60.0917%22 Jun →
dust215–150.0122%20 Jun →
office13–110.0213%3 May →
nuke4–13-0.0225%3 May →
inferno13–90.0119%3 May →
dust25–13-0.0333%29 Apr →
dust213–60.0219%21 Apr →
inferno2–9-0.2614%19 Apr →
office13–110.0427%19 Apr →
office2–13-0.0033%19 Apr →
mirage7–13-0.0613%14 Apr →
dust28–0-0.0825%14 Apr →
nuke13–30.0322%14 Apr →
office13–40.1432%9 Apr →
office5–13-0.0530%9 Apr →
inferno8–80.0233%8 Apr →
office13–60.0824%8 Apr →
office13–30.0525%8 Apr →
office5–130.1032%31 Mar →
office9–12-0.0634%31 Mar →
office11–130.0821%31 Mar →
office13–110.1214%30 Mar →
office8–130.0124%23 Mar →
office13–90.1428%23 Mar →
nuke13–10.0433%20 Feb →
inferno9–13-0.0614%15 Feb →
inferno1–4-0.088%10 Feb →
inferno13–20.0523%4 Feb →
office13–11-0.0217%25 Nov →
nuke13–10.0530%25 Nov →
mirage13–8-0.0225%25 Nov →
inferno13–100.0227%27 Oct →
dust23–13-0.0413%29 Sept →
dust24–8-0.0319%27 Sept →
dust216–140.0119%27 Sept →
inferno11–13-0.0345%27 Sept →
inferno4–130.0232%27 Sept →
dust213–70.0932%27 Sept →
dust214–160.0428%27 Sept →
mirage11–13-0.0319%27 Sept →
mirage16–130.0235%25 Sept →
ancient0–20.000%8 Sept →
mirage13–90.0314%8 Sept →
overpass13–70.0313%8 Sept →
dust211–130.0515%8 Sept →
nuke7–30.020%2 Sept →
train13–10-0.0524%8 Aug →
office5–13-0.0342%8 Aug →
office7–130.1271%8 Aug →
office13–90.0449%7 Aug →
mirage11–13-0.0210%19 May →
mirage9–130.0736%19 May →
nuke13–100.0113%19 May →
dust210–13-0.0323%3 May →
train10–13-0.0118%3 May →
ancient6–13-0.0914%30 Apr →
anubis13–100.0522%30 Apr →
inferno13–50.1158%21 Apr →
dust27–13-0.117%21 Apr →
mirage9–13-0.0156%19 Apr →
dust213–6-0.060%9 Apr →
mirage8–13-0.0432%8 Apr →
dust27–13-0.0021%8 Apr →
office5–130.0531%8 Apr →
mirage3–13-0.038%8 Apr →
ancient10–13-0.1042%8 Apr →
mirage8–13-0.0747%8 Apr →
office10–130.2030%8 Apr →
office13–60.0926%8 Apr →
office13–60.0425%8 Apr →
mirage2–13-0.0850%26 Mar →
mirage0–13-0.0925%26 Mar →
dust27–130.0528%26 Mar →
dust22–13-0.0517%22 Mar →
dust23–20.0029%22 Mar →
dust213–90.0223%16 Mar →
mirage13–60.0123%15 Mar →
dust213–80.0126%14 Mar →

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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