Ant0nTh3Gr8 — CS2 Stats
US76561198828582450[U:1:868316722]Steam profile ↗✓ No bans
Rating over time
Premier CS Rating
- At peak — 11,406
- Next: Purple band at 15,000 — 3,594 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-08-28
- Light Blue band first seen 2026-08-28
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.00 avg rating
Player DNA
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like ropz 84% playstyle similarity
Most alike: utility contribution, opening-fight frequency.
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
T-side openings. Opening success drops from 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 639ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Counter-strafing. Only 69% 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
Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.
Trends
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.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| A | 21 | 12–9 | 57% | 0.01 | |
| B | 15 | 7–8 | 47% | -0.00 | |
| A | 14 | 8–6 | 57% | -0.01 | |
| D | 13 | 4–9 | 31% | -0.02 | |
| B | 11 | 5–6 | 45% | -0.01 | |
| B | 11 | 5–6 | 45% | -0.00 | |
| S | 7 | 5–2 | 71% | 0.01 | |
| — | 4 | 4–0 | 100% | 0.05 | |
| — | 3 | 2–1 | 67% | -0.03 | |
| — | 1 | 1–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLWL
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.
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.
- Advanced MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 13.124° — above the 12° mark we flag
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 11.6506% — below the 15% mark we flag
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4322 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 14–16 | 0.01 | 6% | 28 Aug → | ||
| 13–16 | -0.00 | 12% | 28 Aug → | ||
| 9–13 | -0.03 | 20% | 28 Aug → | ||
| 13–11 | -0.09 | 18% | 28 Aug → | ||
| 10–13 | -0.05 | 9% | 27 Aug → | ||
| 9–13 | 0.00 | 13% | 27 Aug → | ||
| 13–7 | -0.04 | 14% | 27 Aug → | ||
| 13–9 | 0.02 | 9% | 27 Aug → | ||
| 13–1 | 0.08 | 9% | 27 Aug → | ||
| 13–7 | -0.00 | 8% | 27 Aug → | ||
| 13–5 | 0.05 | 8% | 27 Aug → | ||
| 4–13 | -0.07 | 14% | 27 Aug → | ||
| 5–13 | -0.06 | 9% | 27 Aug → | ||
| 9–13 | 0.02 | 10% | 27 Aug → | ||
| 12–16 | -0.02 | 8% | 27 Aug → | ||
| 3–13 | -0.06 | 10% | 27 Aug → | ||
| 7–13 | 0.05 | 13% | 27 Aug → | ||
| 13–5 | 0.01 | 8% | 27 Aug → | ||
| 15–15 | 0.04 | 9% | 26 Aug → | ||
| 13–9 | -0.06 | 4% | 26 Aug → | ||
| 13–4 | 0.06 | 9% | 26 Aug → | ||
| 4–13 | -0.01 | 31% | 26 Aug → | ||
| 11–13 | -0.03 | 9% | 26 Aug → | ||
| 13–5 | 0.06 | 13% | 26 Aug → | ||
| 13–2 | 0.07 | 12% | 26 Aug → | ||
| 13–2 | 0.06 | 14% | 26 Aug → | ||
| 9–13 | -0.09 | 24% | 26 Aug → | ||
| 10–13 | -0.01 | 9% | 26 Aug → | ||
| 2–13 | -0.05 | 18% | 26 Aug → | ||
| 13–6 | -0.04 | 7% | 26 Aug → | ||
| 13–11 | -0.00 | 12% | 26 Aug → | ||
| 13–10 | 0.09 | 6% | 25 Aug → | ||
| 13–3 | -0.01 | 15% | 25 Aug → | ||
| 10–13 | 0.02 | 6% | 25 Aug → | ||
| 7–13 | -0.05 | 21% | 24 Aug → | ||
| 13–11 | 0.04 | 9% | 24 Aug → | ||
| 13–11 | 0.02 | 7% | 24 Aug → | ||
| 9–13 | -0.08 | 15% | 20 Aug → | ||
| 5–13 | -0.06 | 5% | 20 Aug → | ||
| 11–13 | 0.07 | 13% | 20 Aug → | ||
| 13–11 | 0.05 | 13% | 20 Aug → | ||
| 11–13 | -0.01 | 19% | 20 Aug → | ||
| 11–13 | -0.01 | 3% | 20 Aug → | ||
| 13–4 | 0.09 | 13% | 20 Aug → | ||
| 13–7 | 0.06 | 10% | 19 Aug → | ||
| 6–13 | 0.01 | 10% | 19 Aug → | ||
| 13–7 | 0.03 | 8% | 19 Aug → | ||
| 11–13 | -0.06 | 8% | 19 Aug → | ||
| 4–13 | -0.06 | 11% | 18 Aug → | ||
| 13–7 | -0.01 | 7% | 18 Aug → | ||
| 13–8 | 0.06 | 16% | 18 Aug → | ||
| 5–13 | -0.02 | 21% | 18 Aug → | ||
| 13–6 | -0.02 | 8% | 18 Aug → | ||
| 16–14 | -0.00 | 13% | 18 Aug → | ||
| 13–11 | -0.02 | 11% | 18 Aug → | ||
| 11–13 | -0.03 | 9% | 18 Aug → | ||
| 12–12 | -0.04 | 4% | 18 Aug → | ||
| 13–11 | 0.01 | 11% | 17 Aug → | ||
| 15–15 | 0.05 | 16% | 17 Aug → | ||
| 13–7 | -0.00 | 11% | 14 Aug → | ||
| 13–9 | 0.04 | 8% | 14 Aug → | ||
| 5–13 | 0.00 | 11% | 14 Aug → | ||
| 6–13 | -0.02 | 14% | 14 Aug → | ||
| 10–13 | 0.02 | 8% | 14 Aug → | ||
| 13–4 | 0.10 | 13% | 14 Aug → | ||
| 13–2 | 0.09 | 15% | 14 Aug → | ||
| 13–4 | 0.01 | 4% | 14 Aug → | ||
| 8–13 | -0.00 | 21% | 14 Aug → | ||
| 9–13 | -0.04 | 9% | 14 Aug → | ||
| 10–13 | 0.02 | 14% | 14 Aug → | ||
| 13–9 | 0.05 | 11% | 13 Aug → | ||
| 4–13 | -0.10 | 4% | 13 Aug → | ||
| 13–11 | -0.01 | 10% | 13 Aug → | ||
| 13–5 | 0.05 | 19% | 13 Aug → | ||
| 13–2 | -0.02 | 11% | 13 Aug → | ||
| 13–11 | 0.01 | 9% | 13 Aug → | ||
| 13–9 | -0.05 | 18% | 13 Aug → | ||
| 13–2 | 0.10 | 15% | 12 Aug → | ||
| 13–1 | 0.11 | 17% | 12 Aug → | ||
| 2–13 | -0.09 | 0% | 12 Aug → | ||
| 0–13 | -0.05 | 12% | 12 Aug → | ||
| 13–16 | -0.06 | 2% | 12 Aug → | ||
| 16–14 | 0.05 | 18% | 12 Aug → | ||
| 13–4 | -0.01 | 10% | 12 Aug → | ||
| 11–13 | -0.08 | 6% | 12 Aug → | ||
| 13–5 | -0.05 | 6% | 12 Aug → | ||
| 13–6 | 0.03 | 13% | 12 Aug → | ||
| 13–10 | -0.03 | 17% | 11 Aug → | ||
| 8–13 | 0.03 | 3% | 11 Aug → | ||
| 3–13 | -0.06 | 6% | 11 Aug → | ||
| 13–8 | -0.02 | 11% | 10 Aug → | ||
| 14–16 | -0.05 | 4% | 10 Aug → | ||
| 13–4 | -0.04 | 26% | 7 Aug → | ||
| 13–8 | -0.02 | 16% | 7 Aug → | ||
| 13–11 | 0.07 | 11% | 7 Aug → | ||
| 10–13 | 0.01 | 18% | 7 Aug → | ||
| 8–13 | -0.05 | 17% | 6 Aug → | ||
| 13–5 | 0.08 | 8% | 6 Aug → | ||
| 13–4 | -0.07 | 16% | 6 Aug → | ||
| 13–11 | 0.05 | 8% | 6 Aug → |
Match data via Leetify.