Specki

Specki — CS2 Stats

DE76561198761947526[U:1:801681798]Steam profile ↗✓ No bans

310Tracked matches43%Win rate2026Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating8,852Light Blue band · top ~60.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,852 +177 18 Aug – 29 Sept · 29 days played
8,06611,347peak 11,34718 Aug29 Sept
11,347Peak Premier in tracked matches
29Days played since 2026-08-18

Premier CS Rating

  • 2,495 below peak (11,347)
  • -928 over 30 days · declining
  • Next: Blue band at 10,000 — 1,148 to go
  • Reached: Blue band · Light Blue band
  • Light Blue band first seen 2026-09-01

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

Share this profile

CSDB.GGSpeckiPREMIER8,852 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim61
Positioning57
Utility53

0–100 skill scores via Leetify.

Recent form

COLD41–54–5Last 10041%Win rateWLLWLLLLLW

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −4.7pp headshot accuracy · +33ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 659ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 613ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 596ms

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 Player — Positioning stands above the rest of this profile (+1.8 against its own average).

Aim6.1
Utility5.3
Positioning5.7
Opening Duels4.7
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

ZywOo

Plays most like ZywOo 83% 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. 595ms 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

Aim6.1
Positioning5.7
Utility5.3
Mechanics5.1
Opening Duels4.7
Win Impact2.8

Composite 4.8/10 (Developing), 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

Match rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time592ms−48ms
first ⅓ avg 640ms → last ⅓ avg 592ms
Headshot accuracy17.3%−2.1%
first ⅓ avg 19.4% → last ⅓ avg 17.3%

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

0.14Best match rating · 13–2 · cache, 26 Sept →
50%Best headshot accuracy · 13–4 · dust2, 28 Aug →
438msFastest reaction time · 5–13 · inferno, 25 Sept →
13–1Biggest win · dust2, 23 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 57% over 14infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2D3813–2534%-0.01
cacheA148–657%0.03
infernoD124–833%0.01
ancientC125–742%-0.02
mirageB84–450%-0.01
anubisB63–350%-0.00
nuke—31–233%0.01
italy—21–150%-0.03
vertigo—11–0100%0.11
boulder—10–10%-0.01
fachwerk—10–10%0.04
train—11–0100%0.03
overpass—10–10%-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
75%Win rate
1.30Avg K/D
87.0ADR
46%Headshot %

Clutches & streaks

0%1v1 clutch win
50%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Dust21100%1.9225.0
Mirage1100%1.3121.0
Ancient1100%0.7710.0
Inferno10%1.1919.0

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.

17.2%Headshot accuracy
34.6%Accuracy (enemy spotted)
33.6%Spray accuracy
72.9%Counter-strafing
9.5°Preaim
595msReaction time
46.7%T opening success
51.2%CT opening success
0.51Enemies flashed / flash
4.4%Flash assists
10.42HE damage / grenade
8.89Flashes / match

Recommended for you

Spend your practice time on Inferno

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust216–130.0620%29 Sept →
cache10–13-0.0521%26 Sept →
cache7–13-0.079%26 Sept →
cache13–20.1425%26 Sept →
dust28–130.0211%26 Sept →
dust26–13-0.018%26 Sept →
anubis7–130.079%26 Sept →
inferno5–130.0022%25 Sept →
ancient6–13-0.079%25 Sept →
mirage13–50.0316%25 Sept →
dust213–10.0221%23 Sept →
cache13–90.0727%23 Sept →
vertigo13–100.1119%23 Sept →
mirage9–13-0.0226%22 Sept →
nuke9–13-0.0017%20 Sept →
mirage13–50.0129%20 Sept →
ancient16–13-0.0015%19 Sept →
ancient16–130.0313%17 Sept →
dust29–13-0.0417%14 Sept →
dust213–80.0311%14 Sept →
cache6–130.0410%14 Sept →
dust213–4-0.0125%13 Sept →
inferno11–130.0518%13 Sept →
anubis2–13-0.0612%12 Sept →
dust213–30.0818%11 Sept →
inferno9–13-0.0318%11 Sept →
dust213–80.0019%11 Sept →
mirage4–13-0.0910%11 Sept →
dust211–13-0.0222%9 Sept →
dust28–13-0.0121%7 Sept →
cache13–80.0718%7 Sept →
dust213–1-0.0225%7 Sept →
dust24–13-0.1011%6 Sept →
cache7–130.0430%6 Sept →
mirage8–130.0015%6 Sept →
dust210–130.0025%5 Sept →
cache13–50.0834%5 Sept →
ancient13–80.0316%5 Sept →
ancient1–130.0111%4 Sept →
dust28–130.0413%3 Sept →
ancient6–130.0124%3 Sept →
inferno4–13-0.0613%3 Sept →
dust23–130.0121%3 Sept →
dust23–13-0.0427%3 Sept →
dust211–13-0.0225%31 Aug →
dust211–130.0317%31 Aug →
cache13–100.0213%31 Aug →
dust213–10-0.0518%31 Aug →
anubis13–90.0016%31 Aug →
inferno13–90.0625%31 Aug →
dust22–10-0.0917%31 Aug →
dust27–13-0.0319%31 Aug →
dust25–130.0413%29 Aug →
boulder10–13-0.0112%29 Aug →
fachwerk12–120.0432%29 Aug →
train13–110.0316%28 Aug →
dust213–40.0950%28 Aug →
nuke4–130.016%28 Aug →
italy12–12-0.0410%28 Aug →
italy13–11-0.0111%28 Aug →
overpass2–13-0.1113%28 Aug →
dust213–80.0426%27 Aug →
inferno13–80.039%27 Aug →
mirage13–100.0625%27 Aug →
mirage8–13-0.0625%27 Aug →
cache13–3-0.0125%26 Aug →
ancient9–13-0.047%26 Aug →
anubis13–8-0.0220%26 Aug →
dust213–110.0016%26 Aug →
ancient13–8-0.0129%26 Aug →
dust24–13-0.0025%26 Aug →
cache8–13-0.0535%26 Aug →
dust210–130.0114%26 Aug →
cache14–160.1114%25 Aug →
dust29–13-0.0026%25 Aug →
dust215–15-0.0117%25 Aug →
dust213–100.038%25 Aug →
dust215–15-0.0517%25 Aug →
inferno13–30.1025%25 Aug →
inferno16–120.0121%22 Aug →
dust20–13-0.0819%22 Aug →
anubis13–1-0.0320%22 Aug →
dust29–13-0.0115%21 Aug →
ancient4–130.0218%21 Aug →
mirage16–120.0129%21 Aug →
dust213–5-0.0612%21 Aug →
dust210–130.0224%20 Aug →
inferno5–13-0.0116%20 Aug →
cache13–11-0.0326%20 Aug →
inferno10–130.0324%20 Aug →
nuke13–60.0218%20 Aug →
ancient8–13-0.0712%19 Aug →
inferno7–13-0.0721%18 Aug →
cache13–8-0.0226%18 Aug →
ancient7–13-0.076%18 Aug →
ancient13–9-0.0416%18 Aug →
dust28–13-0.1133%18 Aug →
inferno9–13-0.0417%18 Aug →
anubis10–130.0211%18 Aug →
dust215–15-0.0413%18 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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