GTX 1080Ti

GTX 1080Ti — CS2 Stats

BS76561198046418660[U:1:86152932]Steam profile ↗✓ No bans

839Tracked matches60%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating22,939Top 25% of 175,286 CSDB-tracked playersPink band · top ~5.3% of ranked players (population est.)
CSDB Leaderboard#38675 of 219754 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
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 · 22,939 → 22,939
+3Tracked matches · now 839
−3.3ppWin rate · 63.3% → 60.0%
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. 29 days played since 7 Sep 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 22,939 +473 7 Sept13 Sept · 17 days played
19,68622,939peak 22,9397 Sept13 Sept
23,307Peak Premier in tracked matches
29Days played since 2025-09-07

Premier CS Rating

  • At peak — 22,939
  • +561 over 90 days
  • Next: Red band at 25,000 2,061 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.GGGTX 1080TiFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER22,939 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning75
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY54451Last 10054%Win rateLWWLWWLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.2pp headshot accuracy · −68ms 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

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 506ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 531ms

Last 20

  • 128 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 565ms

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 (+2.5 against its own average).

Aim7.6
Utility3.0
Positioning7.5
Opening Duels7.3
Clutch2.4

Limited utility dependence

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 71% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 572ms 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

Aim7.6
Positioning7.5
Utility3.0
Mechanics7.9
Opening Duels6.4
Win Impact8.3

Composite 7.0/10 (Strong), 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 rating0.02−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time572ms−37ms
first ⅓ avg 609ms → last ⅓ avg 572ms
Headshot accuracy21.8%−3.0%
first ⅓ avg 24.8% → last ⅓ avg 21.8%

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

0.17Best match rating · 13–2 · dust2, 4 Jun
43%Best headshot accuracy · 13–9 · inferno, 2 Jun
414msFastest reaction time · 8–13 · dust2, 11 Sept
13–1Biggest win · nuke, 2 Jun

Across the last 100 tracked matches.

Highlights

7Longest win streak
75In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 73% over 11mirageWeakest map · 42% over 24
MapGradePlayedRecordWin rateAvg rating
mirageC24101442%0.02
infernoA1912763%0.02
dust2A1810856%0.01
ancientB136746%0.04
nukeS118373%0.03
cacheA85363%0.06
overpass42250%0.03
anubis21150%0.04
train1010%0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

131Matches
56%Win rate
1.45Avg K/D
101.9ADR
48%Headshot %

Clutches & streaks

32%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage3345%1.4919.9
Ancient1753%1.3419.7
Nuke1681%1.6023.3
Overpass1275%1.7221.1
Dust21155%1.3923.7
Train1136%1.3820.8
Inferno1050%1.3125.2
Anubis450%1.6019.0

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.

21.9%Headshot accuracy
33.2%Accuracy (enemy spotted)
36.5%Spray accuracy
85.7%Counter-strafing
9.9°Preaim
572msReaction time
50.7%T opening success
60.6%CT opening success
0.44Enemies flashed / flash
4.6%Flash assists
10.00HE damage / grenade
1.74Flashes / match

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.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4404 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Mirage

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.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–130.0415%13 Sept
cache13–80.0227%13 Sept
mirage13–6-0.0024%13 Sept
inferno9–13-0.067%12 Sept
inferno13–9-0.0225%12 Sept
ancient13–9-0.0017%12 Sept
ancient9–130.0422%12 Sept
dust28–13-0.0723%11 Sept
nuke13–100.0835%11 Sept
anubis13–80.0529%11 Sept
nuke13–90.0126%4 Aug
cache13–110.0123%4 Aug
inferno13–70.0530%2 Aug
dust213–70.0922%2 Aug
ancient16–130.0516%2 Aug
inferno11–13-0.0317%2 Aug
ancient9–13-0.0429%9 Jul
inferno13–90.0222%9 Jul
cache8–130.0516%9 Jul
mirage3–13-0.0611%9 Jul
nuke13–40.0722%9 Jul
dust213–110.0120%25 Jun
mirage13–40.0915%25 Jun
mirage10–13-0.0221%25 Jun
dust27–13-0.0021%16 Jun
inferno16–140.0126%13 Jun
mirage8–130.0811%13 Jun
nuke13–90.0127%13 Jun
inferno10–13-0.0723%13 Jun
dust213–80.0330%13 Jun
inferno13–70.0225%13 Jun
inferno13–70.0723%11 Jun
inferno13–80.0420%11 Jun
overpass13–80.0521%11 Jun
ancient13–50.1020%11 Jun
inferno8–13-0.0332%10 Jun
mirage5–130.0627%10 Jun
mirage13–110.0630%10 Jun
inferno13–160.0519%10 Jun
overpass4–130.0124%10 Jun
dust213–11-0.0219%10 Jun
dust213–40.0122%9 Jun
nuke12–160.0415%7 Jun
dust27–13-0.0221%7 Jun
mirage12–16-0.0223%7 Jun
dust213–8-0.0437%7 Jun
dust213–30.0243%7 Jun
mirage13–90.0122%6 Jun
dust29–13-0.0136%6 Jun
nuke13–70.0242%6 Jun
inferno13–40.1324%6 Jun
mirage13–4-0.0217%6 Jun
inferno11–130.0017%4 Jun
mirage11–130.0534%4 Jun
dust213–20.1740%4 Jun
ancient9–130.0631%4 Jun
anubis9–130.0317%4 Jun
ancient13–50.0717%4 Jun
mirage9–13-0.0221%4 Jun
ancient4–130.0333%3 Jun
dust27–130.0231%3 Jun
mirage13–90.0918%2 Jun
nuke13–1-0.0324%2 Jun
inferno13–90.0643%2 Jun
ancient8–130.0516%2 Jun
dust213–6-0.0022%2 Jun
nuke16–140.0423%2 Jun
cache13–60.1429%2 Jun
inferno15–150.0627%2 Jun
mirage13–30.0230%29 May
ancient9–130.0417%27 May
nuke13–30.1124%27 May
cache13–100.1427%27 May
cache11–130.0429%26 May
cache13–100.0126%25 May
cache8–130.1021%25 May
mirage5–13-0.0220%21 May
mirage7–13-0.0517%21 May
inferno13–8-0.0113%31 Jan
mirage13–80.0328%3 Oct
dust211–13-0.0119%3 Oct
dust24–130.0324%17 Sept
mirage10–130.0121%17 Sept
mirage10–130.0827%17 Sept
nuke8–130.0828%16 Sept
inferno13–110.0825%16 Sept
nuke6–13-0.0615%16 Sept
ancient9–130.0629%10 Sept
mirage5–13-0.0625%10 Sept
mirage10–130.0028%10 Sept
ancient13–10-0.0110%10 Sept
inferno13–30.0332%9 Sept
dust25–130.0440%9 Sept
overpass9–130.0125%9 Sept
overpass13–100.0523%9 Sept
dust213–100.0143%9 Sept
mirage13–100.0832%9 Sept
mirage13–50.0312%9 Sept
ancient13–20.0723%7 Sept
train6–130.0329%7 Sept

Match data via Leetify.

Recent teammates

Milestones

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