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Terlet

Terlet — CS2 Stats

US76561198054813793[U:1:94548065]Steam profile ↗✓ No bans

1,181Tracked matches52%Win rate2022Tracked since
CSDB Rating4.9 DevelopingPositional Player
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGTerletFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning45
Utility28

0–100 skill scores via Leetify.

Recent form

STEADY47–41–12Last 10047%Win rateWWLTWLLLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.0pp headshot accuracy · +98ms reaction

Win rate down 20pp 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 672ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 665ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 616ms

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 (+2.1 against its own average).

Aim6.0
Utility2.8
Positioning4.5
Opening Duels0.0

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

iM

Plays most like iM 93% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; lower opening-duel success.

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

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

Reaction time. 626ms 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

Aim6.0
Positioning4.5
Utility2.8
Mechanics7.4
Opening Duels1.3
Win Impact5.7

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time616ms−0ms
first ⅓ avg 616ms → last ⅓ avg 616ms
Headshot accuracy15.1%−1.6%
first ⅓ avg 16.8% → last ⅓ avg 15.1%

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

0.31Best match rating · 9–0 · inferno, 13 Sept →
47%Best headshot accuracy · 8–8 · poseidon, 21 Sept →
461msFastest reaction time · 5–13 · ancient, 24 Sept →
13–0Biggest win · train, 3 Nov →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
8–6In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 100% over 5cacheWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB2210–1245%-0.02
nukeC156–940%-0.02
overpassC104–640%-0.03
ancientC94–544%-0.02
poseidonC73–443%-0.04
cacheD62–433%-0.03
debrisB63–350%-0.02
trainA53–260%-0.03
vertigoC52–340%-0.03
mirageS55–0100%-0.04
anubis—41–325%-0.01
eldorado—32–167%-0.02
dust2—10–10%-0.05
shelter—11–0100%-0.01
fachwerk—11–0100%0.04

Across the last 100 tracked matches.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.5%Headshot accuracy
36.4%Accuracy (enemy spotted)
37.9%Spray accuracy
83.5%Counter-strafing
13.2°Preaim
626msReaction time
40.8%T opening success
27.3%CT opening success
0.31Enemies flashed / flash
5.2%Flash assists
6.59HE damage / grenade
1.45Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1532° — above the 12° mark we flag

    Aim Training →
  2. 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 0.3051 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
overpass13–7-0.0321%5 Nov →
poseidon9–60.0121%5 Nov →
inferno6–9-0.059%5 Nov →
nuke12–120.0127%3 Nov →
train13–00.0716%3 Nov →
ancient1–6-0.016%3 Nov →
ancient5–130.0720%3 Nov →
nuke9–13-0.0718%31 Oct →
ancient11–13-0.0413%31 Oct →
eldorado9–6-0.0012%31 Oct →
cache13–9-0.0318%30 Oct →
vertigo6–13-0.0312%30 Oct →
inferno13–60.0313%29 Oct →
inferno8–8-0.007%29 Oct →
cache3–130.0224%24 Oct →
overpass7–13-0.0616%24 Oct →
poseidon9–70.0118%24 Oct →
overpass13–90.0117%23 Oct →
nuke9–10.0619%23 Oct →
nuke9–40.0718%23 Oct →
inferno9–4-0.083%23 Oct →
inferno3–9-0.1019%23 Oct →
poseidon9–60.0217%23 Oct →
debris8–8-0.0214%23 Oct →
nuke3–9-0.1210%22 Oct →
debris8–8-0.0111%22 Oct →
cache12–12-0.023%20 Oct →
nuke10–13-0.0512%18 Oct →
train13–4-0.0524%18 Oct →
inferno13–70.0512%18 Oct →
inferno1–130.0222%17 Oct →
anubis12–12-0.0421%17 Oct →
inferno13–9-0.086%16 Oct →
mirage13–50.0522%16 Oct →
inferno6–9-0.1127%14 Oct →
vertigo7–9-0.1513%14 Oct →
poseidon5–9-0.0932%14 Oct →
poseidon3–9-0.136%14 Oct →
nuke9–10.2417%14 Oct →
mirage13–5-0.1011%11 Oct →
nuke9–13-0.0510%11 Oct →
vertigo9–30.1210%11 Oct →
poseidon4–9-0.1218%11 Oct →
overpass9–7-0.018%11 Oct →
eldorado9–7-0.0316%11 Oct →
inferno9–5-0.0223%11 Oct →
debris9–20.078%11 Oct →
inferno5–9-0.0527%11 Oct →
nuke9–20.0418%11 Oct →
overpass11–130.0230%6 Oct →
nuke6–9-0.0213%6 Oct →
inferno1–9-0.1810%6 Oct →
nuke9–7-0.0614%4 Oct →
dust212–12-0.0511%4 Oct →
ancient13–50.0615%4 Oct →
train3–13-0.0917%30 Sept →
nuke8–8-0.0715%30 Sept →
anubis12–120.0224%27 Sept →
nuke13–9-0.0912%27 Sept →
overpass13–90.0515%27 Sept →
anubis11–13-0.0317%27 Sept →
ancient13–11-0.019%27 Sept →
nuke10–13-0.0416%27 Sept →
ancient7–13-0.1018%25 Sept →
train13–00.0214%25 Sept →
inferno13–7-0.068%25 Sept →
nuke4–9-0.0910%25 Sept →
overpass1–13-0.0521%24 Sept →
ancient5–13-0.039%24 Sept →
shelter13–11-0.0114%24 Sept →
inferno13–90.0324%23 Sept →
overpass9–13-0.0415%23 Sept →
inferno9–5-0.0132%23 Sept →
inferno10–13-0.0213%22 Sept →
mirage13–9-0.0215%22 Sept →
cache13–2-0.0218%22 Sept →
vertigo6–13-0.0916%21 Sept →
overpass6–13-0.0821%21 Sept →
overpass8–8-0.0721%21 Sept →
debris7–9-0.1923%21 Sept →
inferno4–9-0.0223%21 Sept →
poseidon8–80.0347%21 Sept →
inferno7–90.0116%21 Sept →
vertigo9–6-0.0113%21 Sept →
inferno5–9-0.1615%19 Sept →
debris9–10.1012%19 Sept →
eldorado8–8-0.0314%19 Sept →
ancient13–6-0.066%18 Sept →
mirage13–11-0.108%18 Sept →
debris9–7-0.056%18 Sept →
train7–13-0.0811%14 Sept →
anubis13–80.0014%14 Sept →
ancient13–4-0.0520%14 Sept →
cache9–13-0.0421%13 Sept →
inferno13–9-0.0215%13 Sept →
inferno9–00.3111%13 Sept →
inferno8–13-0.0317%10 Sept →
cache5–13-0.0614%10 Sept →
fachwerk13–100.0422%10 Sept →
mirage13–9-0.049%9 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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