Jitburger — CS2 Stats
76561198343368068[U:1:383102340]
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -10pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingLimited 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.
Your pro match

Plays most like Twistzz 88% playstyle similarity
Most alike: positioning profile, opening-duel success.
Where you differ: lower utility contribution.
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 87 — the mechanical foundation is a clear strength.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.9° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 566ms 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 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 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 |
|---|---|---|---|---|---|
| C | 20 | 7–13 | 35% | -0.00 | |
| B | 18 | 9–9 | 50% | 0.02 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| A | 14 | 9–5 | 64% | 0.01 | |
| C | 10 | 4–6 | 40% | 0.02 | |
| B | 8 | 4–4 | 50% | 0.04 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| — | 4 | 1–3 | 25% | 0.00 | |
| — | 3 | 2–1 | 67% | -0.01 | |
| — | 1 | 1–0 | 100% | -0.00 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (35% over 20). Start with the 6 essential Nuke 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 resultsWWLLL
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.
- 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 11.3152% — 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 0.4567 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 38.0211% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
35% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.00 | 9% | 28 Aug → | ||
| 13–7 | 0.11 | 7% | 28 Aug → | ||
| 13–5 | 0.00 | 13% | 27 Aug → | ||
| 11–13 | 0.00 | 11% | 27 Aug → | ||
| 6–13 | 0.02 | 11% | 27 Aug → | ||
| 9–13 | -0.02 | 9% | 26 Aug → | ||
| 8–13 | 0.04 | 8% | 26 Aug → | ||
| 6–13 | -0.07 | 10% | 26 Aug → | ||
| 8–13 | -0.03 | 7% | 25 Aug → | ||
| 13–3 | 0.05 | 10% | 25 Aug → | ||
| 7–13 | 0.09 | 12% | 23 Aug → | ||
| 5–13 | 0.01 | 12% | 23 Aug → | ||
| 16–14 | 0.03 | 13% | 23 Aug → | ||
| 13–16 | -0.02 | 10% | 22 Aug → | ||
| 13–2 | 0.15 | 12% | 22 Aug → | ||
| 2–13 | -0.07 | 6% | 21 Aug → | ||
| 15–15 | 0.06 | 12% | 21 Aug → | ||
| 13–8 | -0.02 | 20% | 21 Aug → | ||
| 13–7 | 0.02 | 10% | 19 Aug → | ||
| 16–14 | 0.07 | 14% | 19 Aug → | ||
| 5–13 | -0.01 | 8% | 19 Aug → | ||
| 9–13 | 0.01 | 8% | 17 Aug → | ||
| 6–13 | -0.03 | 6% | 17 Aug → | ||
| 13–10 | 0.03 | 8% | 16 Aug → | ||
| 13–7 | 0.07 | 1% | 16 Aug → | ||
| 13–11 | 0.04 | 22% | 15 Aug → | ||
| 13–4 | 0.11 | 15% | 15 Aug → | ||
| 13–3 | 0.05 | 15% | 15 Aug → | ||
| 16–13 | 0.10 | 17% | 14 Aug → | ||
| 6–13 | 0.03 | 16% | 14 Aug → | ||
| 11–13 | -0.07 | 5% | 14 Aug → | ||
| 16–14 | 0.04 | 21% | 13 Aug → | ||
| 13–5 | 0.01 | 10% | 13 Aug → | ||
| 13–0 | 0.02 | 23% | 9 Aug → | ||
| 9–4 | 0.13 | 10% | 8 Aug → | ||
| 11–13 | -0.02 | 15% | 7 Aug → | ||
| 16–13 | 0.06 | 7% | 6 Aug → | ||
| 16–13 | 0.03 | 12% | 5 Aug → | ||
| 9–13 | -0.02 | 14% | 5 Aug → | ||
| 15–15 | 0.01 | 16% | 5 Aug → | ||
| 11–13 | -0.01 | 15% | 23 Jul → | ||
| 7–13 | -0.01 | 19% | 23 Jul → | ||
| 13–5 | -0.00 | 19% | 18 Jul → | ||
| 13–9 | 0.05 | 20% | 18 Jul → | ||
| 8–13 | 0.00 | 13% | 17 Jul → | ||
| 9–13 | 0.02 | 8% | 17 Jul → | ||
| 13–10 | 0.03 | 7% | 17 Jul → | ||
| 13–9 | 0.01 | 10% | 16 Jul → | ||
| 13–11 | 0.03 | 14% | 15 Jul → | ||
| 13–10 | 0.02 | 14% | 15 Jul → | ||
| 11–13 | -0.05 | 7% | 15 Jul → | ||
| 6–13 | -0.06 | 0% | 15 Jul → | ||
| 11–13 | -0.04 | 8% | 15 Jul → | ||
| 16–14 | -0.01 | 12% | 14 Jul → | ||
| 13–11 | 0.02 | 10% | 14 Jul → | ||
| 14–16 | 0.00 | 14% | 11 Jul → | ||
| 13–8 | 0.06 | 7% | 10 Jul → | ||
| 14–16 | -0.04 | 14% | 14 May → | ||
| 5–13 | -0.05 | 8% | 14 May → | ||
| 13–5 | 0.06 | 11% | 14 May → | ||
| 12–12 | 0.00 | 10% | 4 May → | ||
| 10–13 | 0.00 | 8% | 2 May → | ||
| 13–11 | 0.05 | 11% | 29 Apr → | ||
| 8–13 | 0.04 | 9% | 5 Apr → | ||
| 16–12 | 0.05 | 14% | 4 Apr → | ||
| 14–16 | 0.07 | 16% | 1 Mar → | ||
| 7–13 | -0.03 | 9% | 3 Feb → | ||
| 13–6 | 0.12 | 15% | 27 Jan → | ||
| 6–13 | -0.01 | 11% | 25 Jan → | ||
| 13–5 | 0.10 | 16% | 25 Jan → | ||
| 7–13 | -0.03 | 4% | 24 Dec → | ||
| 9–13 | -0.02 | 17% | 22 Dec → | ||
| 13–2 | 0.10 | 12% | 22 Dec → | ||
| 13–7 | -0.00 | 12% | 22 Dec → | ||
| 11–13 | -0.08 | 7% | 21 Dec → | ||
| 8–13 | -0.03 | 24% | 21 Dec → | ||
| 6–13 | -0.07 | 8% | 21 Dec → | ||
| 6–13 | 0.02 | 16% | 20 Dec → | ||
| 3–13 | -0.04 | 19% | 20 Dec → | ||
| 10–13 | -0.05 | 14% | 15 Dec → | ||
| 13–7 | 0.05 | 15% | 14 Dec → | ||
| 9–13 | -0.00 | 13% | 14 Dec → | ||
| 13–11 | -0.01 | 6% | 14 Dec → | ||
| 9–13 | -0.04 | 16% | 13 Dec → | ||
| 13–10 | -0.02 | 14% | 12 Dec → | ||
| 8–13 | 0.04 | 7% | 11 Dec → | ||
| 13–10 | -0.02 | 11% | 11 Dec → | ||
| 7–13 | -0.04 | 21% | 10 Dec → | ||
| 13–4 | 0.02 | 16% | 10 Dec → | ||
| 9–13 | -0.02 | 16% | 10 Dec → | ||
| 6–13 | -0.02 | 18% | 9 Dec → | ||
| 13–1 | -0.00 | 7% | 7 Dec → | ||
| 13–7 | -0.05 | 12% | 3 Dec → | ||
| 16–13 | -0.02 | 6% | 1 Dec → | ||
| 13–0 | 0.00 | 24% | 1 Dec → | ||
| 13–9 | 0.04 | 13% | 1 Dec → | ||
| 14–16 | -0.01 | 13% | 29 Nov → | ||
| 13–16 | -0.03 | 9% | 29 Nov → | ||
| 13–1 | 0.01 | 17% | 29 Nov → | ||
| 15–15 | 0.02 | 12% | 29 Nov → |
Match data via Leetify.