Squirt of Lemon — CS2 Stats
76561198203576843[U:1:243311115]VAC banned
Rating over time
Premier CS Rating
- At peak — 9,939
- Next: Blue band at 10,000 — 61 to go
- Reached: Light Blue band
- Light Blue band first seen 2026-08-29
CSDB's own observations — this history builds from the day a profile is first viewed and cannot be backfilled.
How this compares with the same rank
Median values for Level 3 among CSDB-tracked players (n=607), 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.
| Metric | This player | Level 3 median | Level 4 median | vs Level 4 |
|---|---|---|---|---|
| Headshot rate | 34.8% | 42.1% | 42.5% | 7.6% short |
| Shot accuracy | 3.1% | 12.1% | 10.9% | 7.8% short |
| Kill/death ratio | 0.87 | 0.99 | 0.99 | 0.12 short |
| Match win rate | 39.5% | 43.9% | 44.2% | 4.7% short |
This profile sits below the typical Level 4 player on every metric we can compare.
Widest gap: Shot accuracy. 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.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +40pp win rate · +0.02 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 NiKo 74% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; 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. 602ms 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
Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 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 |
|---|---|---|---|---|---|
| D | 21 | 6–15 | 29% | -0.02 | |
| S | 21 | 15–6 | 71% | 0.00 | |
| S | 15 | 14–1 | 93% | 0.01 | |
| B | 15 | 8–7 | 53% | 0.01 | |
| A | 15 | 9–6 | 60% | -0.01 | |
| D | 7 | 2–5 | 29% | -0.03 | |
| D | 5 | 0–5 | 0% | -0.03 | |
| boulder | — | 1 | 1–0 | 100% | -0.02 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Cache | 7 | 57% | 1.32 | 16.6 |
| Mirage | 5 | 60% | 0.98 | 13.6 |
| Ancient | 5 | 60% | 0.81 | 12.2 |
| Inferno | 4 | 0% | 0.77 | 14.5 |
| Nuke | 3 | 33% | 0.70 | 10.3 |
| Dust2 | 3 | 33% | 0.61 | 12.0 |
| Anubis | 2 | 0% | 0.68 | 13.0 |
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.
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 12.073° — 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 9.0313% — 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 0.3497 — 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.
0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | -0.02 | 5% | 29 Aug → | ||
| 15–19 | -0.00 | 6% | 29 Aug → | ||
| 11–13 | -0.03 | 0% | 29 Aug → | ||
| 13–7 | 0.02 | 18% | 29 Aug → | ||
| 13–3 | 0.11 | 15% | 29 Aug → | ||
| 5–13 | -0.03 | 14% | 29 Aug → | ||
| 9–7 | 0.22 | 11% | 29 Aug → | ||
| 6–9 | -0.03 | 12% | 29 Aug → | ||
| 13–9 | -0.03 | 14% | 28 Aug → | ||
| 13–4 | 0.02 | 0% | 28 Aug → | ||
| 13–16 | 0.02 | 5% | 27 Aug → | ||
| 15–15 | -0.03 | 15% | 27 Aug → | ||
| 15–15 | -0.02 | 5% | 26 Aug → | ||
| 2–13 | -0.07 | 17% | 26 Aug → | ||
| 13–11 | 0.03 | 8% | 26 Aug → | ||
| 9–13 | 0.00 | 15% | 26 Aug → | ||
| 13–4 | 0.08 | 18% | 26 Aug → | ||
| 4–13 | -0.05 | 10% | 25 Aug → | ||
| 10–13 | 0.01 | 2% | 25 Aug → | ||
| 5–13 | 0.02 | 7% | 25 Aug → | ||
| 9–7 | -0.05 | 15% | 25 Aug → | ||
| 11–13 | -0.04 | 8% | 24 Aug → | ||
| 13–7 | -0.06 | 8% | 24 Aug → | ||
| 13–11 | -0.02 | 6% | 23 Aug → | ||
| 13–4 | -0.06 | 6% | 23 Aug → | ||
| 13–10 | -0.05 | 13% | 23 Aug → | ||
| 13–8 | 0.04 | 9% | 23 Aug → | ||
| 13–6 | -0.03 | 10% | 23 Aug → | ||
| 9–13 | -0.06 | 14% | 23 Aug → | ||
| 13–10 | -0.00 | 8% | 23 Aug → | ||
| 13–6 | -0.01 | 7% | 23 Aug → | ||
| 13–10 | -0.02 | 11% | 23 Aug → | ||
| 15–15 | -0.06 | 8% | 23 Aug → | ||
| 13–7 | -0.05 | 12% | 23 Aug → | ||
| 13–5 | 0.06 | 11% | 23 Aug → | ||
| 13–3 | 0.04 | 18% | 23 Aug → | ||
| 13–3 | 0.08 | 4% | 22 Aug → | ||
| 4–9 | 0.05 | 22% | 22 Aug → | ||
| 2–9 | -0.22 | 7% | 22 Aug → | ||
| 8–13 | -0.02 | 12% | 22 Aug → | ||
| 13–5 | 0.04 | 13% | 22 Aug → | ||
| 13–10 | -0.04 | 17% | 22 Aug → | ||
| 8–13 | -0.02 | 12% | 22 Aug → | ||
| 13–9 | -0.02 | 2% | 22 Aug → | ||
| 13–5 | 0.02 | 11% | 22 Aug → | ||
| 1–13 | -0.16 | 4% | 22 Aug → | ||
| 13–10 | 0.02 | 7% | 22 Aug → | ||
| 8–13 | 0.08 | 8% | 22 Aug → | ||
| 13–5 | 0.07 | 6% | 19 Aug → | ||
| 11–13 | 0.02 | 5% | 18 Aug → | ||
| 10–13 | -0.05 | 13% | 16 Aug → | ||
| 4–13 | -0.02 | 18% | 16 Aug → | ||
| 13–4 | -0.01 | 8% | 16 Aug → | ||
| 13–7 | -0.00 | 20% | 16 Aug → | ||
| 11–13 | -0.00 | 10% | 16 Aug → | ||
| 13–7 | -0.00 | 18% | 16 Aug → | ||
| 9–13 | -0.02 | 5% | 16 Aug → | ||
| 10–13 | 0.04 | 20% | 15 Aug → | ||
| 16–13 | -0.03 | 14% | 15 Aug → | ||
| 16–12 | -0.00 | 13% | 15 Aug → | ||
| 13–11 | 0.01 | 29% | 15 Aug → | ||
| 11–13 | -0.08 | 24% | 15 Aug → | ||
| 6–13 | 0.03 | 11% | 15 Aug → | ||
| 9–6 | 0.01 | 5% | 15 Aug → | ||
| 16–13 | 0.05 | 14% | 10 Aug → | ||
| 13–6 | -0.03 | 11% | 10 Aug → | ||
| 11–13 | -0.01 | 9% | 10 Aug → | ||
| 3–13 | -0.10 | 6% | 10 Aug → | ||
| 13–7 | 0.04 | 19% | 9 Aug → | ||
| 6–13 | -0.06 | 6% | 9 Aug → | ||
| 8–13 | -0.03 | 10% | 9 Aug → | ||
| 13–4 | 0.04 | 5% | 8 Aug → | ||
| 8–13 | -0.06 | 29% | 8 Aug → | ||
| 13–16 | -0.05 | 12% | 8 Aug → | ||
| 13–11 | 0.01 | 20% | 8 Aug → | ||
| 3–13 | -0.03 | 17% | 8 Aug → | ||
| 13–7 | -0.01 | 13% | 8 Aug → | ||
| 6–13 | -0.08 | 6% | 8 Aug → | ||
| 3–13 | -0.01 | 6% | 8 Aug → | ||
| 13–10 | 0.00 | 7% | 7 Aug → | ||
| 13–1 | 0.07 | 8% | 7 Aug → | ||
| 13–6 | -0.03 | 5% | 7 Aug → | ||
| 13–8 | 0.05 | 20% | 7 Aug → | ||
| 13–3 | 0.03 | 14% | 6 Aug → | ||
| 11–13 | 0.01 | 21% | 5 Aug → | ||
| 5–9 | -0.12 | 10% | 5 Aug → | ||
| 13–11 | 0.05 | 21% | 5 Aug → | ||
| 7–13 | -0.04 | 6% | 5 Aug → | ||
| 13–10 | 0.03 | 15% | 5 Aug → | ||
| 11–13 | -0.02 | 6% | 4 Aug → | ||
| 13–5 | 0.13 | 17% | 4 Aug → | ||
| 14–16 | 0.06 | 16% | 3 Aug → | ||
| 13–9 | -0.05 | 6% | 3 Aug → | ||
| boulder | 13–9 | -0.02 | 17% | 3 Aug → | |
| 8–13 | -0.04 | 15% | 3 Aug → | ||
| 13–10 | 0.07 | 12% | 2 Aug → | ||
| 13–5 | -0.03 | 10% | 2 Aug → | ||
| 13–6 | 0.05 | 11% | 2 Aug → | ||
| 11–13 | -0.11 | 13% | 2 Aug → | ||
| 13–2 | 0.02 | 6% | 2 Aug → |
Match data via Leetify.