Aja saatana — CS2 Stats
FI76561198105463292[U:1:145197564]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.9pp headshot accuracy · −23ms 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
- 3–1–1 · 60% win rate
- Avg rating 0.01
- Avg headshot accuracy 36%
- Avg reaction 520ms
Last 10
- 5–4–1 · 50% win rate
- Avg rating 0.00
- Avg headshot accuracy 33%
- Avg reaction 565ms
Last 20
- 11–6–3 · 55% win rate
- Avg rating 0.00
- Avg headshot accuracy 33%
- Avg reaction 576ms
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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.9 against its own average).
Sharp aimerExcellent counter-strafingStrong CT-side openerReliable in 1v1s
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
Plays most like NiKo 90% playstyle similarity
Most alike: aim profile, utility contribution.
Where you differ: lower 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 93 — the mechanical foundation is a clear strength.
Counter-strafing. 93% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.
T-side openings. Opening success drops from 52% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 557ms 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 7.4/10 (Strong), 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
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
Across the last 100 tracked matches.
Highlights
Map breakdown
Strongest and weakest map need 5+ matches on two different maps — 1 of 4 maps qualify so far.
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| office | B | 97 | 44–53 | 45% | 0.00 |
 cache | — | 1 | 1–0 | 100% | 0.02 |
 nuke | — | 1 | 0–1 | 0% | -0.07 |
 overpass | — | 1 | 1–0 | 100% | -0.06 |
Across the last 100 tracked matches.
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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 1 | 100% | 0.56 | 5.0 |
| Mirage | 1 | 0% | 0.50 | 9.0 |
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 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 32.6159% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| office | 7–13 | 0.00 | 14% | 4 Nov → | |
| office | 13–8 | 0.03 | 35% | 1 Nov → | |
| office | 12–12 | -0.03 | 32% | 1 Nov → | |
| office | 13–4 | 0.03 | 47% | 31 Oct → | |
| office | 13–7 | 0.03 | 53% | 31 Oct → | |
| office | 13–9 | 0.00 | 24% | 31 Oct → | |
| office | 7–13 | -0.04 | 15% | 30 Oct → | |
| office | 11–13 | -0.05 | 38% | 29 Oct → | |
| office | 10–13 | -0.02 | 37% | 28 Oct → | |
| office | 13–8 | 0.08 | 33% | 26 Oct → | |
| office | 0–7 | -0.09 | 33% | 25 Oct → | |
| office | 13–4 | 0.06 | 23% | 24 Oct → | |
| office | 9–0 | 0.07 | 50% | 24 Oct → | |
| office | 12–12 | 0.01 | 36% | 22 Oct → | |
| office | 13–10 | -0.04 | 33% | 18 Oct → | |
| office | 13–2 | -0.04 | 25% | 14 Oct → | |
| office | 13–10 | -0.00 | 19% | 10 Oct → | |
| office | 12–12 | 0.01 | 37% | 8 Oct → | |
| office | 8–13 | -0.02 | 44% | 5 Oct → | |
| office | 13–9 | 0.01 | 37% | 30 Sept → | |
| office | 12–12 | -0.06 | 50% | 29 Sept → | |
| office | 13–9 | -0.02 | 38% | 28 Sept → | |
| office | 9–13 | 0.09 | 38% | 27 Sept → | |
| office | 10–13 | -0.01 | 29% | 26 Sept → | |
| office | 1–13 | -0.03 | 29% | 24 Sept → | |
| office | 13–6 | 0.02 | 35% | 23 Sept → | |
| office | 13–11 | -0.01 | 26% | 22 Sept → | |
| office | 13–4 | 0.02 | 33% | 21 Sept → | |
| office | 13–10 | 0.03 | 40% | 21 Sept → | |
| office | 6–13 | -0.02 | 36% | 20 Sept → | |
| office | 9–13 | -0.05 | 29% | 18 Sept → | |
| office | 13–7 | -0.07 | 32% | 17 Sept → | |
| office | 4–13 | -0.03 | 38% | 17 Sept → | |
| office | 9–13 | -0.03 | 29% | 16 Sept → | |
| office | 13–11 | 0.00 | 38% | 16 Sept → | |
| office | 10–13 | 0.05 | 39% | 15 Sept → | |
| office | 12–12 | -0.03 | 25% | 14 Sept → | |
| office | 7–0 | -0.04 | 10% | 14 Sept → | |
| office | 12–12 | -0.01 | 16% | 13 Sept → | |
| office | 12–12 | -0.03 | 28% | 11 Sept → | |
| office | 6–0 | 0.21 | 30% | 7 Sept → | |
| office | 12–12 | -0.02 | 19% | 5 Sept → | |
| office | 13–4 | 0.04 | 33% | 2 Sept → | |
| office | 7–13 | 0.04 | 46% | 1 Sept → | |
| office | 13–8 | 0.03 | 22% | 30 Aug → | |
| office | 13–8 | 0.07 | 33% | 29 Aug → | |
| office | 8–13 | -0.01 | 38% | 28 Aug → | |
| office | 8–13 | -0.00 | 36% | 26 Aug → | |
| office | 13–2 | 0.05 | 83% | 25 Aug → | |
| office | 7–13 | -0.06 | 41% | 24 Aug → | |
| office | 6–13 | -0.04 | 13% | 23 Aug → | |
| office | 13–7 | 0.05 | 25% | 22 Aug → | |
| office | 13–3 | -0.02 | 33% | 22 Aug → | |
| office | 12–12 | 0.01 | 54% | 21 Aug → | |
| office | 13–3 | 0.07 | 39% | 20 Aug → | |
| office | 2–13 | 0.01 | 39% | 19 Aug → | |
| office | 12–1 | 0.04 | 50% | 19 Aug → | |
| office | 12–12 | -0.03 | 33% | 18 Aug → | |
| office | 13–9 | 0.02 | 25% | 17 Aug → | |
| office | 5–13 | -0.05 | 38% | 16 Aug → | |
| office | 5–13 | -0.04 | 56% | 15 Aug → | |
| office | 13–1 | -0.03 | 27% | 14 Aug → | |
| office | 9–13 | 0.02 | 45% | 14 Aug → | |
| office | 13–6 | 0.09 | 39% | 12 Aug → | |
| office | 13–5 | -0.04 | 58% | 11 Aug → | |
| office | 13–9 | -0.07 | 32% | 10 Aug → | |
| office | 13–5 | 0.02 | 19% | 9 Aug → | |
| office | 5–13 | -0.04 | 44% | 7 Aug → | |
| cache | 13–10 | 0.02 | 43% | 5 Aug → | |
| office | 9–9 | 0.04 | 56% | 4 Aug → | |
| office | 13–7 | 0.04 | 45% | 3 Aug → | |
| office | 4–13 | -0.06 | 47% | 2 Aug → | |
| office | 8–13 | -0.04 | 39% | 1 Aug → | |
| office | 7–13 | 0.01 | 7% | 1 Aug → | |
| office | 11–13 | 0.10 | 24% | 31 Jul → | |
| office | 13–10 | -0.03 | 31% | 16 Jul → | |
| office | 2–13 | -0.04 | 67% | 11 Jul → | |
| office | 9–13 | 0.06 | 32% | 4 Jul → | |
| office | 6–13 | -0.08 | 29% | 27 Jun → | |
| office | 8–13 | -0.05 | 20% | 26 Jun → | |
| nuke | 7–13 | -0.07 | 21% | 25 Jun → | |
| office | 13–5 | 0.08 | 15% | 20 Jun → | |
| overpass | 13–10 | -0.06 | 29% | 20 Jun → | |
| office | 13–4 | 0.02 | 18% | 19 Jun → | |
| office | 10–13 | -0.06 | 19% | 18 Jun → | |
| office | 7–13 | -0.05 | 36% | 14 Jun → | |
| office | 9–13 | -0.05 | 32% | 13 Jun → | |
| office | 13–6 | 0.08 | 36% | 6 Jun → | |
| office | 8–13 | -0.01 | 33% | 6 Jun → | |
| office | 13–9 | -0.01 | 21% | 13 May → | |
| office | 13–10 | 0.00 | 35% | 12 May → | |
| office | 13–9 | 0.04 | 30% | 9 May → | |
| office | 12–12 | -0.02 | 28% | 8 May → | |
| office | 12–12 | 0.02 | 31% | 5 May → | |
| office | 0–13 | -0.04 | 14% | 5 May → | |
| office | 5–13 | -0.04 | 24% | 2 May → | |
| office | 13–2 | 0.07 | 23% | 21 Apr → | |
| office | 6–13 | -0.03 | 33% | 20 Apr → | |
| office | 13–11 | 0.02 | 40% | 17 Apr → | |
| office | 4–13 | -0.01 | 10% | 28 Mar → |
Match data via Leetify.
Recent teammates
Milestones
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