Thrash

Thrash — CS2 Stats

SK76561198214773144[U:1:254507416]Steam profile ↗✓ No bans

2,973Tracked matches63%Win rate2020Tracked since
6,680Hours in CS37Hrs last 2 wks
CSDB Rating8.0 StrongPositional Player
Premier CS Rating26,900Top 5% of 212,910 CSDB-tracked playersRed band · top ~2.1% of ranked players (population est.)
CSDB Leaderboard#6994 of 259653 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (yesterday). 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: 26,900 +55 1 Nov – 2 Nov · 2 days played
26,84526,900peak 26,9001 Nov2 Nov
26,953Peak Premier in tracked matches
24Days played since 2026-08-28

Premier CS Rating

  • At peak — 26,900
  • Next: Gold band at 30,000 — 3,100 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches47——
Win rate60%——
K/D1.21——
Headshot %49%——

Measured 27 Oct 2026 → 3 Nov 2026; no observation near 14 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate49.6%50.9%
Shot accuracy11.8%13.7%
Kill/death ratio1.171.09
Match win rate52.6%48.4%

Share this profile

CSDB.GGThrashFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER26,900 · Red 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

Aim84
Positioning76
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY53–37–10Last 10053%Win rateWWLLWLWLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +2.2pp headshot accuracy · +11ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 561ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 524ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 519ms

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 (+1.4 against its own average).

Aim8.4
Utility6.3
Positioning7.6
Opening Duels5.9
Clutch5.0

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

m0NESY

Plays most like m0NESY 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

CT openings. 60% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 61% T opening-duel success — entries that actually open the round.

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

Aim8.4
Positioning7.6
Utility6.3
Mechanics6.2
Opening Duels7.7
Win Impact9.3

Composite 8.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time526ms+31ms
first ⅓ avg 494ms → last ⅓ avg 526ms
Headshot accuracy18.6%−2.4%
first ⅓ avg 21.1% → last ⅓ avg 18.6%

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

0.20Best match rating · 13–4 · vertigo, 10 Sept →
38%Best headshot accuracy · 13–7 · dust2, 1 Nov →
344msFastest reaction time · 0–7 · vertigo, 27 Sept →
13–0Biggest win · office, 31 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W2Current streak
6–9In matches decided by ≤2 rounds

Map breakdown

trainBest map · 83% over 6infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
officeA2515–1060%0.03
dust2B2311–1248%-0.00
italyB84–450%0.02
infernoD72–529%-0.02
mirageS64–267%0.00
trainS65–183%0.02
cacheC52–340%0.05
vertigoC52–340%0.06
nuke—41–325%0.01
anubis—31–233%0.03
fachwerk—22–0100%0.09
ancient—21–150%0.03
boulder—22–0100%0.07
overpass—11–0100%0.06
debris—10–10%-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

244,727Lifetime kills
1.17K/D · Top 50% of Level 10 players
10,758Matches
52.6%Match win rate · Top 25% of Level 10 players
49.6%Headshot %
11.8%Shot accuracy
37,517MVPs
3,861Hours (in match)
10,026Bombs planted
2,996Bombs defused

Most-used weapons

AK-4779,225
AWP25,239
FAMAS6,210
P2505,486
MAC-104,148

Lifetime map wins

31,571inferno
14,995dust2
3,747train
2,959vertigo
2,855office
2,384nuke
1,813cbble
809italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

602Matches
57%Win rate
1.14Avg K/D
83.9ADR
42%Headshot %

Clutches & streaks

45%1v1 clutch win
30%1v2 clutch win
14Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage6357%1.0714.8
Inferno5066%1.3616.9
Anubis3459%1.1415.7
Ancient2552%1.3118.6
Dust22544%1.2516.2
Nuke1694%1.4215.9
Vertigo838%0.9115.4
Overpass560%1.3816.2

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.

19.0%Headshot accuracy
38.1%Accuracy (enemy spotted)
38.5%Spray accuracy
78.0%Counter-strafing
7.7°Preaim
526msReaction time
60.9%T opening success
60.5%CT opening success
0.61Enemies flashed / flash
8.0%Flash assists
8.83HE damage / grenade
8.29Flashes / 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0320%2 Nov →
mirage13–7-0.0121%2 Nov →
mirage8–130.0215%2 Nov →
dust25–13-0.0121%2 Nov →
office13–60.0814%1 Nov →
mirage11–13-0.0221%1 Nov →
dust213–70.0438%1 Nov →
office1–13-0.0617%1 Nov →
overpass13–90.0617%1 Nov →
nuke13–90.0219%1 Nov →
fachwerk13–80.1417%1 Nov →
office13–10.1917%1 Nov →
inferno13–9-0.0026%1 Nov →
dust24–130.0127%1 Nov →
inferno13–90.0324%1 Nov →
debris6–9-0.1110%1 Nov →
inferno10–13-0.0219%31 Oct →
cache3–13-0.0617%31 Oct →
anubis13–60.1412%31 Oct →
ancient13–10-0.0212%31 Oct →
train13–30.0213%31 Oct →
nuke2–130.0124%31 Oct →
office12–120.0123%31 Oct →
vertigo4–130.0413%31 Oct →
dust212–12-0.0315%31 Oct →
office13–00.0622%31 Oct →
italy12–120.0321%31 Oct →
boulder10–10.0723%31 Oct →
dust211–13-0.0015%31 Oct →
train13–100.0017%30 Oct →
office13–8-0.0113%30 Oct →
dust212–12-0.0417%30 Oct →
dust210–130.0014%29 Oct →
office13–80.0822%29 Oct →
cache7–130.0732%29 Oct →
office13–7-0.0319%28 Oct →
dust213–11-0.0016%28 Oct →
italy4–4-0.0519%27 Oct →
ancient9–130.0917%27 Oct →
office13–100.0725%27 Oct →
office13–20.1234%26 Oct →
mirage13–9-0.0424%26 Oct →
cache13–40.1522%26 Oct →
dust213–5-0.0128%26 Oct →
office13–80.0519%26 Oct →
anubis11–13-0.0428%25 Oct →
dust210–13-0.0119%25 Oct →
train13–30.0123%25 Oct →
italy13–6-0.0132%25 Oct →
vertigo13–90.1231%25 Oct →
dust213–11-0.0426%25 Oct →
italy13–90.0722%22 Oct →
office12–120.0225%22 Oct →
cache13–110.0810%22 Oct →
italy7–130.0322%19 Oct →
dust26–13-0.0229%19 Oct →
office13–40.0132%19 Oct →
mirage13–90.0215%19 Oct →
office12–12-0.0617%18 Oct →
train13–60.0635%18 Oct →
dust213–30.0123%18 Oct →
dust213–11-0.0424%18 Oct →
office13–5-0.0224%17 Oct →
italy13–80.0220%17 Oct →
dust213–5-0.0528%15 Oct →
italy13–90.0133%12 Oct →
dust24–13-0.0120%12 Oct →
inferno6–13-0.0319%12 Oct →
office11–130.0122%12 Oct →
office11–130.0631%11 Oct →
train13–110.0323%11 Oct →
inferno12–120.0929%29 Sept →
office13–90.0416%29 Sept →
train11–130.0226%29 Sept →
dust23–13-0.0025%29 Sept →
vertigo0–7-0.0920%27 Sept →
office7–13-0.0617%27 Sept →
dust213–6-0.0332%27 Sept →
office11–130.0317%24 Sept →
dust210–13-0.0316%24 Sept →
office13–110.1118%23 Sept →
dust213–10-0.017%23 Sept →
nuke8–130.0132%20 Sept →
office8–13-0.0617%20 Sept →
dust212–120.0624%20 Sept →
inferno5–9-0.1320%20 Sept →
vertigo11–130.0613%16 Sept →
boulder13–90.0718%16 Sept →
inferno2–13-0.0616%16 Sept →
office13–20.0420%16 Sept →
fachwerk13–100.0511%16 Sept →
dust25–10.0833%16 Sept →
cache12–120.0016%14 Sept →
dust213–50.0818%14 Sept →
office13–90.0029%14 Sept →
italy9–130.0624%10 Sept →
vertigo13–40.2017%10 Sept →
nuke6–13-0.0323%10 Sept →
office12–120.0825%10 Sept →
anubis6–13-0.0121%10 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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