✪ CoachAnt

✪ CoachAnt — CS2 Stats

GB76561198353985652[U:1:393719924]Steam profile ↗✓ No bans

5,793Tracked matches70%Win rate2020Tracked since
7,989Hours in CS28Hrs last 2 wks
CSDB Rating8.5 ElitePositional Player
Premier CS Rating25,660Top 10% of 204,219 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#15028 of 251367 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Oct 2026 (3 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: 25,660 +661 29 Aug – 10 Oct · 11 days played
24,54526,006peak 26,00629 Aug10 Oct
26,006Peak Premier in tracked matches
19Days played since 2026-08-29

Premier CS Rating

  • 346 below peak (26,006)
  • -346 over 30 days · steady
  • Next: Gold band at 30,000 — 4,340 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-10
  • Pink band first seen 2026-08-29

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
Matches96——
Win rate58%——
K/D0.94——
Headshot %62%——

Measured 11 Sep 2026 → 13 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

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 Red band among CSDB-tracked players (n=13,318), 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 playerRed band medianGold band medianvs Gold band
Headshot rate55.1%49.2%50.7%above
Shot accuracy16.3%13.4%11.8%above
Kill/death ratio1.291.121.18above
Match win rate60.6%48.5%51.9%above

Across every metric we can compare, this profile already matches the typical Gold band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GG✪ CoachAntPREMIER25,660 · 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

Aim94
Positioning73
Utility54

0–100 skill scores via Leetify.

Recent form

HOT58–24–18Last 10058%Win rateWWTWWLWLWW

Last 10 vs previous 10: +20pp win rate · −0.03 avg rating · −5.5pp headshot accuracy · +8ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–0–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 28%
  • Avg reaction 526ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 544ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 29%
  • Avg reaction 540ms

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 (+2.5 against its own average).

Aim9.4
Utility5.4
Positioning7.3
Opening Duels5.6
Clutch1.0

Sharp aimerStrong CT-side opener

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: aim profile, opening-duel success.

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 94 — the mechanical foundation is a clear strength.

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

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

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

Aim9.4
Positioning7.3
Utility5.4
Mechanics8.3
Opening Duels7.4
Win Impact10.0

Composite 8.5/10 (Elite), 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 0.03 → last ⅓ avg 0.02
Reaction time517ms+22ms
first ⅓ avg 495ms → last ⅓ avg 517ms
Headshot accuracy30.0%+1.8%
first ⅓ avg 28.2% → last ⅓ avg 30.0%

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

0.18Best match rating · 10–13 · vertigo, 2 Oct →
67%Best headshot accuracy · 1–13 · ancient, 16 Sept →
281msFastest reaction time · 0–13 · vertigo, 27 Sept →
13–1Biggest win · nuke, 29 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
4–4In matches decided by ≤2 rounds

Map breakdown

cacheBest map · 71% over 24trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
cacheS2417–771%0.02
anubisB2010–1050%0.04
vertigoB147–750%0.06
ancientA106–460%0.04
infernoS107–370%0.03
nukeA53–260%0.03
trainC52–340%0.01
overpass—43–175%0.07
mirage—42–250%-0.01
dust2—21–150%0.00
boulder—10–10%-0.08
office—10–10%0.01

Across the last 100 tracked matches.

Lifetime stats

312,815Lifetime kills
1.29K/D · Top 25% of Red band
10,065Matches
60.6%Match win rate · Top 10% of Red band
55.1%Headshot % · Top 25% of Red band
16.3%Shot accuracy · Top 25% of Red band
38,910MVPs
5,072Hours (in match)
6,128Bombs planted
2,430Bombs defused

Most-used weapons

AK-47118,793
AWP49,165
FAMAS6,920
P2505,315

Lifetime map wins

24,870inferno
5,799vertigo
4,246train
3,849nuke
3,689dust2
1,144cbble
1,130office
182lake

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

Faceit stats

Combat

1,091Matches
55%Win rate
1.29Avg K/D
91.5ADR
46%Headshot %

Clutches & streaks

25%1v1 clutch win
20%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis1258%1.5019.8
Ancient1182%1.7920.4
Overpass580%1.1520.0
Vertigo540%1.1218.6
Nuke475%1.4121.8
Inferno4100%1.5322.8
Mirage10%1.0521.0
Cache10%0.8815.0

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.

29.1%Headshot accuracy
37.2%Accuracy (enemy spotted)
40.1%Spray accuracy
87.1%Counter-strafing
7.8°Preaim
513msReaction time
57.7%T opening success
61.4%CT opening success
0.50Enemies flashed / flash
12.5%Flash assists
7.04HE damage / grenade
5.32Flashes / match

Recommended for you

Spend your practice time on Train

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 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache13–10-0.0629%11 Oct →
overpass13–50.0725%11 Oct →
ancient12–120.0029%11 Oct →
dust213–6-0.0835%10 Oct →
cache13–2-0.0021%10 Oct →
inferno11–13-0.0717%10 Oct →
ancient13–100.0126%10 Oct →
mirage10–13-0.0422%10 Oct →
mirage13–50.0536%10 Oct →
cache13–4-0.0221%10 Oct →
cache13–40.0523%10 Oct →
nuke9–13-0.0420%10 Oct →
cache12–120.0232%9 Oct →
anubis10–130.0838%9 Oct →
mirage13–8-0.0341%9 Oct →
nuke13–60.0658%9 Oct →
anubis13–40.0726%3 Oct →
boulder4–13-0.0822%3 Oct →
cache12–12-0.0129%3 Oct →
anubis13–70.0526%3 Oct →
cache13–8-0.0040%2 Oct →
anubis13–30.1032%2 Oct →
cache13–50.0331%2 Oct →
inferno13–100.0330%2 Oct →
cache4–13-0.0529%2 Oct →
nuke13–90.0224%2 Oct →
vertigo13–110.0921%2 Oct →
vertigo10–130.1834%2 Oct →
ancient13–100.1226%1 Oct →
mirage10–13-0.0331%1 Oct →
dust21–40.0956%1 Oct →
nuke13–10.0739%29 Sept →
cache13–10.0721%29 Sept →
cache2–00.1760%29 Sept →
anubis13–11-0.0021%29 Sept →
train8–20.0863%29 Sept →
overpass9–20.1033%29 Sept →
cache13–50.0144%29 Sept →
ancient12–120.0134%29 Sept →
anubis13–50.0838%29 Sept →
vertigo13–70.0618%29 Sept →
vertigo13–20.0341%29 Sept →
cache13–60.0217%28 Sept →
nuke12–120.0425%28 Sept →
vertigo13–10.1338%28 Sept →
vertigo13–70.0637%28 Sept →
anubis12–12-0.0128%28 Sept →
vertigo12–120.1229%28 Sept →
overpass13–20.1221%28 Sept →
ancient13–70.0932%28 Sept →
inferno12–120.0123%27 Sept →
vertigo0–13-0.0229%27 Sept →
train6–13-0.0334%27 Sept →
cache13–90.0142%27 Sept →
ancient9–13-0.0436%26 Sept →
anubis7–130.0119%26 Sept →
ancient13–100.1538%25 Sept →
cache6–130.0233%25 Sept →
anubis13–60.0623%25 Sept →
anubis13–70.0238%25 Sept →
inferno13–60.0829%24 Sept →
vertigo12–12-0.0721%24 Sept →
overpass11–13-0.0031%24 Sept →
train12–120.0123%24 Sept →
cache11–130.0539%24 Sept →
vertigo12–120.0440%24 Sept →
anubis12–120.0835%24 Sept →
train13–20.0338%22 Sept →
vertigo13–100.0420%22 Sept →
cache13–80.0419%22 Sept →
inferno12–120.0421%22 Sept →
cache12–120.0326%22 Sept →
anubis12–120.1018%22 Sept →
anubis13–60.1029%20 Sept →
inferno13–50.0922%20 Sept →
ancient13–50.0226%20 Sept →
cache13–40.0122%20 Sept →
vertigo4–130.0431%20 Sept →
anubis1–10-0.0227%20 Sept →
cache12–120.0128%19 Sept →
inferno13–40.0528%19 Sept →
anubis12–120.0130%19 Sept →
anubis13–80.0325%18 Sept →
office11–130.0134%18 Sept →
anubis13–50.0631%18 Sept →
inferno13–30.0226%18 Sept →
vertigo13–80.0924%18 Sept →
cache13–110.0521%18 Sept →
anubis10–13-0.0022%18 Sept →
cache13–10-0.0112%17 Sept →
anubis8–13-0.0332%17 Sept →
ancient13–90.0630%17 Sept →
vertigo7–130.0138%17 Sept →
inferno13–60.0528%17 Sept →
inferno13–70.0226%17 Sept →
cache13–50.0440%16 Sept →
ancient1–13-0.0567%16 Sept →
anubis12–12-0.0029%16 Sept →
train6–13-0.0438%12 Sept →
cache13–40.0422%12 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.