Ortho

Ortho — CS2 Stats

FR76561197979443073[U:1:19177345]Steam profile ↗✓ No bans

3,948Tracked matches43%Win rate2024Tracked since
CSDB Rating3.4 LearningClutch Specialist
Premier CS Rating6,953Light Blue band · top ~69.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (4 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: 6,953 -1,648 9 Sept – 28 Oct · 9 days played
6,9538,601peak 8,6019 Sept28 Oct
8,601Peak Premier in tracked matches
21Days played since 2026-09-09

Premier CS Rating

  • 1,648 below peak (8,601)
  • -1,454 over 30 days · declining
  • Next: Blue band at 10,000 — 3,047 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-09

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

Share this profile

CSDB.GGOrthoFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER6,953 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim35
Positioning40
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY42–50–8Last 10042%Win rateTWLLWLTWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +1.5pp headshot accuracy · −23ms reaction

Win rate +10pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 789ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 726ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 738ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2 against its own average).

Aim3.5
Utility3.6
Positioning4.0
Opening Duels0.2
Clutch5.2

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 76% 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

CT openings. Opening success drops from 54% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 725ms 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

Aim3.5
Positioning4.0
Utility3.6
Mechanics5.2
Opening Duels3.0
Win Impact2.6

Composite 3.4/10 (Learning), 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 rating-0.04+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time713ms−11ms
first ⅓ avg 725ms → last ⅓ avg 713ms
Headshot accuracy13.2%+0.7%
first ⅓ avg 12.5% → last ⅓ avg 13.2%

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

0.15Best match rating · 13–2 · anubis, 19 Oct →
26%Best headshot accuracy · 12–12 · inferno, 31 Oct →
484msFastest reaction time · 13–1 · ancient, 25 Oct →
13–0Biggest win · inferno, 24 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
8–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 55% over 11infernoWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B3316–1748%-0.04
infernoD175–1229%-0.04
nukeD134–931%-0.05
cacheC114–736%-0.05
anubisA116–555%-0.02
ancientC114–736%-0.04
mirage—32–167%-0.01
vertigo—11–0100%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

37Matches
30%Win rate
0.46Avg K/D
51.0ADR
36%Headshot %

Clutches & streaks

46%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno825%0.568.6
Anubis70%0.387.1
Mirage520%0.456.8
Nuke425%0.366.3
Dust2367%0.458.0
Ancient333%0.507.7
Vertigo367%0.639.7
Rio de Janeiro1100%0.569.0

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.

13.3%Headshot accuracy
35.5%Accuracy (enemy spotted)
34.5%Spray accuracy
73.5%Counter-strafing
12.8°Preaim
725msReaction time
54.0%T opening success
27.0%CT opening success
0.37Enemies flashed / flash
4.8%Flash assists
7.74HE damage / grenade
2.44Flashes / 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 12.828° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.2738% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 724.7805ms — above the 700ms mark we flag

    Aim Training →
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 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno12–12-0.0226%31 Oct →
dust213–9-0.095%31 Oct →
inferno7–13-0.0612%31 Oct →
cache4–13-0.0611%31 Oct →
dust213–10-0.0618%31 Oct →
cache7–13-0.0712%30 Oct →
dust212–12-0.0014%30 Oct →
anubis13–20.0115%30 Oct →
inferno13–10.0415%30 Oct →
cache3–13-0.0816%30 Oct →
nuke13–110.0813%30 Oct →
dust23–13-0.064%30 Oct →
dust22–13-0.0819%29 Oct →
ancient10–13-0.0811%29 Oct →
inferno4–130.007%29 Oct →
ancient4–13-0.0913%28 Oct →
inferno13–11-0.098%28 Oct →
nuke7–13-0.0811%28 Oct →
vertigo13–10.0221%27 Oct →
nuke6–13-0.0322%27 Oct →
inferno3–13-0.0716%27 Oct →
anubis0–13-0.094%27 Oct →
dust213–60.1013%27 Oct →
ancient5–13-0.0514%26 Oct →
anubis6–13-0.0716%26 Oct →
inferno2–130.009%26 Oct →
dust213–10-0.0311%25 Oct →
ancient13–10.0412%25 Oct →
ancient13–11-0.0014%25 Oct →
anubis13–7-0.0416%24 Oct →
dust23–13-0.0813%24 Oct →
ancient13–8-0.0816%24 Oct →
inferno13–00.0113%24 Oct →
cache13–7-0.0018%24 Oct →
anubis5–13-0.0313%24 Oct →
dust28–130.0013%24 Oct →
inferno6–13-0.0814%23 Oct →
ancient13–8-0.0511%23 Oct →
cache13–20.0216%23 Oct →
dust26–13-0.0716%23 Oct →
inferno5–0-0.070%23 Oct →
nuke13–8-0.049%23 Oct →
anubis2–13-0.0920%22 Oct →
dust213–10-0.0813%22 Oct →
inferno11–13-0.086%22 Oct →
nuke4–13-0.0715%22 Oct →
dust27–13-0.0923%21 Oct →
mirage13–9-0.0112%21 Oct →
dust213–11-0.0410%21 Oct →
dust212–12-0.0410%20 Oct →
anubis13–11-0.0318%19 Oct →
inferno6–13-0.0611%19 Oct →
ancient1–13-0.0714%19 Oct →
cache3–13-0.0411%19 Oct →
dust213–5-0.0118%19 Oct →
anubis13–20.1519%19 Oct →
ancient7–130.019%19 Oct →
dust213–9-0.069%19 Oct →
cache8–13-0.0320%19 Oct →
mirage10–13-0.048%18 Oct →
anubis13–11-0.0113%18 Oct →
dust211–13-0.0517%18 Oct →
inferno7–13-0.0519%18 Oct →
dust213–7-0.0413%18 Oct →
dust29–00.0313%18 Oct →
ancient4–130.0314%18 Oct →
cache12–12-0.1012%17 Oct →
ancient4–13-0.140%17 Oct →
nuke2–13-0.0914%17 Oct →
dust27–13-0.129%17 Oct →
dust27–13-0.067%17 Oct →
dust24–13-0.1220%17 Oct →
dust213–1-0.0811%17 Oct →
inferno9–13-0.0426%16 Oct →
nuke15–150.0114%16 Oct →
mirage13–100.018%16 Oct →
cache13–5-0.047%16 Oct →
dust212–12-0.069%16 Oct →
nuke2–13-0.1125%15 Oct →
dust213–70.0024%15 Oct →
anubis13–11-0.0213%15 Oct →
dust213–30.026%15 Oct →
nuke13–11-0.0512%15 Oct →
dust211–13-0.0221%15 Oct →
cache13–7-0.036%15 Oct →
dust28–130.008%15 Oct →
nuke4–13-0.076%14 Oct →
inferno5–13-0.1111%14 Oct →
nuke12–12-0.0813%14 Oct →
dust213–2-0.0611%14 Oct →
inferno13–7-0.0113%13 Oct →
dust212–12-0.0111%13 Oct →
nuke13–10-0.0614%13 Oct →
cache7–13-0.1112%13 Oct →
dust26–1-0.0810%13 Oct →
anubis8–13-0.0116%12 Oct →
nuke11–13-0.0318%12 Oct →
dust26–13-0.0413%12 Oct →
inferno4–13-0.066%11 Oct →
dust213–90.0019%11 Oct →

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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