Photaque — CS2 Stats
76561198119067893[U:1:158802165]Steam profile ↗✓ No bans
What changed since last observed
CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.
CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 3 days observed since 7 Sep 2026. Come back after the next session and the change shows above.
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Rating over time
Faceit ELO
- At peak — 1,230
- Next: Level 7 at 1,351 — 121 to go
- Reached: Level 6 · Level 5 · Level 4 · Level 3
- Level 6 first seen 2026-09-07
- Level 5 first seen 2026-09-07
Premier CS Rating
- 112 below peak (14,999)
- Next: Purple band at 15,000 — 113 to go
- Reached: Blue band · Light Blue band
- Blue band first seen 2026-09-07
- Light Blue band first seen 2026-09-07
Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.
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Performance scores
0–100 skill scores via Leetify.
Player DNA
Primary style: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).
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 jL 80% playstyle similarity
Most alike: positioning profile, opening-duel success.
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
CT openings. Opening success drops from 59% on T to 43% on CT — first contacts on the defending side are being lost.
Reaction time. 556ms 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 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLLWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 20 | 45% | 1.00 | 11.9 |
| Ancient | 18 | 39% | 1.03 | 15.6 |
| Anubis | 17 | 47% | 1.12 | 15.2 |
| Nuke | 15 | 53% | 0.82 | 12.8 |
| Mirage | 12 | 42% | 0.87 | 14.0 |
| Dust2 | 8 | 50% | 1.00 | 15.0 |
| Cache | 5 | 60% | 0.98 | 9.2 |
| Overpass | 4 | 50% | 1.65 | 17.8 |
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 10.8249% — 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 0.4768 — below the 0.5 mark we flag