Turbo Termi

Turbo Termi — CS2 Stats

DE76561198765307606[U:1:805041878]Steam profile ↗✓ No bans

179Tracked matches50%Win rate2025Tracked since
CSDB Rating5.5 SolidAll-Rounder
Premier CS Rating21,375Top 50% of 175,286 CSDB-tracked playersPink band · top ~7% of ranked players (population est.)
CSDB Leaderboard#57296 of 223509 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 179 tracked matches. Play, then come back: the next observation lands here.

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. 49 days played since 18 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,375 +5,512 18 Mar17 Sept · 40 days played
14,32521,375peak 21,37518 Mar17 Sept
21,375Peak Premier in tracked matches
49Days played since 2026-03-18

Premier CS Rating

  • At peak — 21,375
  • +863 over 30 days · improving
  • +2,587 over 90 days
  • Next: Red band at 25,000 3,625 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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.

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CSDB.GGTurbo TermiPREMIER21,375 · Pink bandcsdb.gg/stats

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Performance scores

Aim56
Positioning60
Utility52

0–100 skill scores via Leetify.

Recent form

COLD50464Last 10050%Win rateWLLLWLWLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.7pp headshot accuracy · +54ms 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

  • 23 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 594ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 602ms

Last 20

  • 6131 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 575ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim5.6
Utility5.2
Positioning6.0
Opening Duels4.8

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

iM

Plays most like iM 78% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Areas to improve

Reaction time. 583ms 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

Aim5.6
Positioning6.0
Utility5.2
Mechanics5.6
Opening Duels3.6
Win Impact5.0

Composite 5.5/10 (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 rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time583ms−38ms
first ⅓ avg 620ms → last ⅓ avg 583ms
Headshot accuracy19.9%+0.2%
first ⅓ avg 19.7% → last ⅓ avg 19.9%

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

0.32Best match rating · 9–2 · nuke, 13 Apr
47%Best headshot accuracy · 6–9 · inferno, 13 Sept
359msFastest reaction time · 2–13 · dust2, 18 Aug
13–1Biggest win · inferno, 28 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
76In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 81% over 16infernoWeakest map · 32% over 28
MapGradePlayedRecordWin rateAvg rating
infernoD2891932%0.02
nukeS1613381%0.07
mirageA117464%0.03
ancientB115645%0.02
dust2C114736%0.02
anubisS96367%0.03
overpassA95456%0.02
cache3030%-0.02
train1010%-0.02
vertigo110100%0.15

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

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
32.4%Accuracy (enemy spotted)
32.9%Spray accuracy
75.2%Counter-strafing
11.4°Preaim
583msReaction time
41.5%T opening success
47.3%CT opening success
0.55Enemies flashed / flash
1.1%Flash assists
7.52HE damage / grenade
5.33Flashes / 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.

32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–70.0110%16 Sept
mirage9–130.0514%16 Sept
inferno5–9-0.0526%13 Sept
inferno6–9-0.0147%13 Sept
nuke13–50.1111%2 Sept
ancient3–13-0.0712%28 Aug
inferno13–10.0841%28 Aug
inferno6–90.0319%27 Aug
inferno2–9-0.1220%27 Aug
inferno2–13-0.0915%25 Aug
inferno13–70.0623%18 Aug
dust22–130.0213%18 Aug
inferno6–130.0223%17 Aug
ancient3–13-0.0517%17 Aug
mirage7–130.0422%17 Aug
dust24–13-0.0616%9 Aug
ancient13–8-0.0121%9 Aug
mirage7–13-0.0625%9 Aug
inferno8–80.039%9 Aug
nuke9–20.0830%9 Aug
nuke10–130.0111%7 Aug
inferno10–130.0419%6 Aug
dust213–110.0316%6 Aug
inferno13–50.0620%5 Aug
ancient13–70.1027%5 Aug
ancient13–30.0716%5 Aug
cache10–130.0315%5 Aug
cache7–13-0.0411%4 Aug
mirage13–90.0517%3 Aug
nuke13–6-0.0621%3 Aug
inferno8–13-0.0126%3 Aug
anubis13–110.0222%3 Aug
inferno9–20.2020%3 Aug
anubis16–130.0822%13 Jul
anubis13–20.0419%2 Jul
nuke13–30.0519%29 Jun
inferno5–130.0126%26 Jun
inferno15–150.0423%26 Jun
mirage13–50.0617%26 Jun
nuke7–130.0823%26 Jun
dust213–100.0327%25 Jun
anubis10–13-0.0112%24 Jun
inferno2–13-0.0623%24 Jun
mirage13–80.0923%23 Jun
dust28–130.0027%22 Jun
nuke13–40.1222%22 Jun
overpass14–160.0518%22 Jun
inferno9–130.0014%19 Jun
ancient2–13-0.0021%19 Jun
nuke13–50.0224%19 Jun
nuke13–110.0622%19 Jun
anubis11–130.0617%19 Jun
overpass10–13-0.0020%19 Jun
overpass15–15-0.0014%18 Jun
nuke13–10.0613%18 Jun
inferno13–90.0915%18 Jun
inferno13–50.0122%17 Jun
inferno13–100.0626%15 Jun
inferno13–70.1116%9 Jun
anubis11–130.0316%2 Jun
overpass13–110.0318%29 May
inferno13–110.0222%27 May
inferno6–130.0015%27 May
nuke13–100.0929%26 May
nuke13–80.0220%26 May
overpass13–5-0.0012%26 May
ancient13–60.0718%14 May
ancient7–13-0.0032%11 May
dust29–130.0521%9 May
dust213–160.0725%8 May
inferno11–130.0021%7 May
cache10–13-0.0412%7 May
overpass16–130.0613%3 May
dust216–130.0827%3 May
overpass13–110.0519%1 May
dust24–13-0.0326%1 May
anubis13–90.0512%1 May
nuke15–150.0321%29 Apr
nuke13–50.0514%29 Apr
mirage13–9-0.0218%23 Apr
dust210–130.0913%22 Apr
inferno1–13-0.0833%20 Apr
dust213–11-0.0322%20 Apr
mirage13–60.0314%19 Apr
nuke13–40.0112%19 Apr
overpass13–100.0110%19 Apr
anubis16–120.0317%14 Apr
inferno14–160.0122%13 Apr
inferno11–130.0829%13 Apr
mirage13–70.0822%13 Apr
train8–13-0.0219%13 Apr
vertigo13–50.1516%13 Apr
nuke9–20.3234%13 Apr
ancient8–13-0.0216%28 Mar
mirage13–70.0213%25 Mar
ancient13–60.1133%25 Mar
ancient10–13-0.0215%24 Mar
overpass8–130.0219%24 Mar
inferno12–16-0.0419%24 Mar
mirage5–13-0.059%18 Mar

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 →