DACA99 :D

DACA99 :D — CS2 Stats

CX76561198860546266[U:1:900280538]Steam profile ↗✓ No bans

1,868Tracked matches50%Win rate2020Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating24,508Top 25% of 175,286 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#24629 of 221148 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 24,508 → 24,508
+3Tracked matches · now 1,868
−3.6ppWin rate · 53.6% → 50.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 51 days played since 3 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 24,508 -230 9 Aug13 Sept · 3 days played
24,50824,738peak 24,7389 Aug13 Sept
24,738Peak Premier in tracked matches
51Days played since 2026-07-03

Premier CS Rating

  • 230 below peak (24,738)
  • -230 over 30 days · steady
  • Next: Red band at 25,000 492 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-13
  • Purple band first seen 2026-09-13

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. 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.

Share this profile

CSDB.GGDACA99 :DFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER24,508 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim66
Positioning54
Utility51

0–100 skill scores via Leetify.

Recent form

COLD51418Last 10051%Win rateTWTLTLLLLW

Last 10 vs previous 10: −40pp win rate · +0.00 avg rating · +1.4pp headshot accuracy · −19ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 113 · 20% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 22%
  • Avg reaction 564ms

Last 10

  • 253 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

Last 20

  • 893 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 587ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.9 against its own average).

Aim6.6
Utility5.1
Positioning5.4
Opening Duels3.4
Clutch0.0

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

jL

Plays most like jL 90% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 597ms 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

Aim6.6
Positioning5.4
Utility5.1
Mechanics6.1
Opening Duels3.5
Win Impact5.0

Composite 5.7/10 (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

Match rating-0.02+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time607ms+0ms
first ⅓ avg 607ms → last ⅓ avg 607ms
Headshot accuracy20.7%−0.7%
first ⅓ avg 21.3% → last ⅓ avg 20.7%

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

0.26Best match rating · 9–1 · inferno, 25 Jul
38%Best headshot accuracy · 13–4 · dust2, 17 Jul
281msFastest reaction time · 1–5 · cache, 18 Jul
13–1Biggest win · vertigo, 10 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
73In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 61% over 31cacheWeakest map · 42% over 24
MapGradePlayedRecordWin rateAvg rating
dust2A31191261%-0.01
infernoB25131252%0.02
cacheC24101442%-0.01
vertigoB84450%0.02
train440100%0.01
eldorado31233%-0.09
mirage2020%0.02
anubis1010%-0.02
nuke1010%-0.07
ancient1010%-0.08

Across the last 100 tracked matches.

Faceit stats

Combat

61Matches
46%Win rate
0.95Avg K/D
84.8ADR
43%Headshot %

Clutches & streaks

20%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust2862%1.0416.5
Ancient650%1.1817.5
Inferno650%0.7812.8
Anubis650%1.1216.7
Nuke580%1.7517.2
Vertigo333%0.8812.3
Mirage20%0.7612.0
Overpass10%0.406.0

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.

21.1%Headshot accuracy
31.0%Accuracy (enemy spotted)
35.7%Spray accuracy
77.2%Counter-strafing
9.2°Preaim
597msReaction time
42.4%T opening success
45.6%CT opening success
0.53Enemies flashed / flash
5.6%Flash assists
7.96HE damage / grenade
12.58Flashes / match

Recommended for you

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache12–120.0526%14 Sept
dust213–11-0.039%13 Sept
mirage12–120.0520%13 Sept
dust210–13-0.0330%5 Sept
anubis12–12-0.0223%4 Sept
inferno10–130.0021%3 Sept
dust22–13-0.0617%3 Sept
dust28–13-0.0121%31 Aug
dust26–130.0014%29 Aug
dust213–100.0332%29 Aug
dust213–10-0.0221%29 Aug
cache13–20.0211%29 Aug
cache13–50.0322%27 Aug
dust213–7-0.0413%27 Aug
cache13–80.0428%24 Aug
inferno7–13-0.0316%23 Aug
dust213–80.0427%23 Aug
eldorado5–9-0.1019%22 Aug
dust29–130.0122%22 Aug
cache10–130.0120%20 Aug
inferno13–70.0227%18 Aug
cache10–130.0319%17 Aug
dust26–13-0.0626%17 Aug
vertigo13–11-0.0114%16 Aug
dust213–50.0622%16 Aug
inferno5–13-0.0215%16 Aug
dust29–13-0.1035%16 Aug
cache12–12-0.0822%15 Aug
dust213–10-0.0015%15 Aug
train13–10-0.0016%14 Aug
cache6–13-0.0525%13 Aug
dust213–40.0035%13 Aug
eldorado4–9-0.220%12 Aug
train13–80.0726%12 Aug
train13–30.0220%11 Aug
dust213–9-0.0326%10 Aug
vertigo13–10.1622%10 Aug
inferno6–130.0116%10 Aug
inferno13–10-0.0416%9 Aug
dust213–10-0.0421%9 Aug
inferno13–110.0027%9 Aug
dust213–9-0.0725%8 Aug
dust213–80.0316%8 Aug
inferno13–40.0215%8 Aug
inferno13–20.1538%8 Aug
inferno4–130.0030%8 Aug
train13–3-0.039%7 Aug
vertigo11–130.0327%7 Aug
cache6–130.0127%6 Aug
inferno12–120.0812%5 Aug
vertigo13–10-0.0117%4 Aug
cache7–13-0.0626%3 Aug
inferno13–20.1231%3 Aug
cache8–13-0.0116%3 Aug
inferno8–13-0.0014%31 Jul
dust29–130.0123%30 Jul
dust213–90.0029%30 Jul
vertigo13–50.015%29 Jul
cache13–110.0220%28 Jul
inferno9–130.0128%27 Jul
dust28–13-0.0525%26 Jul
inferno13–60.0824%26 Jul
dust213–30.0720%26 Jul
cache3–13-0.0121%26 Jul
inferno13–100.0226%26 Jul
eldorado9–60.0720%25 Jul
inferno9–10.2622%25 Jul
inferno4–13-0.0819%25 Jul
vertigo12–12-0.0118%25 Jul
dust213–8-0.0214%25 Jul
dust213–110.0022%24 Jul
dust210–130.0326%23 Jul
inferno3–13-0.0917%22 Jul
inferno13–30.0422%22 Jul
cache0–13-0.0624%22 Jul
inferno13–9-0.0020%19 Jul
dust26–50.0225%19 Jul
inferno7–13-0.0926%18 Jul
nuke1–13-0.0731%18 Jul
cache13–2-0.0618%18 Jul
cache1–5-0.0617%18 Jul
cache3–13-0.0227%18 Jul
cache13–5-0.110%17 Jul
dust213–40.0638%17 Jul
vertigo12–12-0.0026%16 Jul
vertigo11–13-0.0320%15 Jul
dust212–12-0.0233%14 Jul
inferno13–9-0.0517%13 Jul
ancient5–13-0.0833%13 Jul
dust213–9-0.0618%12 Jul
dust213–11-0.0415%9 Jul
cache13–9-0.0314%7 Jul
cache10–130.1018%7 Jul
cache8–13-0.0215%6 Jul
mirage4–13-0.0132%6 Jul
cache8–2-0.0420%6 Jul
inferno13–110.0418%6 Jul
cache13–8-0.0120%6 Jul
cache13–70.0320%5 Jul
inferno9–130.0122%3 Jul

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →